modelling of cryogenic processes in permafrost and ...orca.cf.ac.uk/8408/1/thomas & cleall...

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Thomas, H. R. et al. (2009). Ge ´otechnique 59, No. 3, 173–184 [doi: 10.1680/geot.2009.59.3.173] 173 Modelling of cryogenic processes in permafrost and seasonally frozen soils H. R. THOMAS*, P. CLEALL*, Y.-C. LI*, C. HARRIS† and M. KERN-LUETSCHG† This paper investigates the thermo-hydro-mechanical (THM) behaviour of soils subjected to seasonal tempera- ture variations in both permafrost and seasonally frozen conditions. Numerical modelling of soil freezing and ice segregation processes is presented, and compared against small-scale physical modelling experiments. The coupled THM model presented, which is solved by way of a transient finite element approach, considers a number of processes, including conduction, convection, phase change, the movement of moisture due to cryogenic suctions, and the development of ice lenses. Two seasonal freezing scenarios are considered: (a) for soils with no permafrost, where freezing is from the surface downward (one-sided freezing); and (b) for soils underlain by per- mafrost, where large thermal gradients in the uppermost permafrost layer can cause active layer freezing in two directions, from the permafrost table upwards and from the ground surface downwards (two-sided freezing). In the case of one-sided freezing, ice lens formation occurs as the freezing front advances downwards from the sur- face, and is limited by water supply. However, during two-sided freezing, ice segregation takes place in a closed system, with ice lenses accumulating at the base of the active layer and near the ground surface, leaving an intervening ice-poor zone. Numerical modelling is able to represent the development of both the thermal field and ice segregation observed in the physical models. The significance of this contrasting ground ice distribution is considered in the context of thaw-related slow mass movement processes (solifluction). KEYWORDS: deformation; ground freezing; numerical model- ling; temperature effects La pre ´sente communication se penche sur le comporte- ment thermo-hydro-me ´canique (THM) de sols soumis a ` des fluctuations saisonnie `res de la tempe ´rature dans le perge ´lisol et le gel saisonnier. Elle pre ´sente e ´galement une mode ´lisation nume ´rique des proce ´de ´s de conge ´lation du sol et de se ´gre ´gation de la glace, et en effectue la comparaison avec des expe ´riences de mode ´lisation physi- que a ` petite e ´chelle. Le mode `le a ` THM couple ´ ainsi pre ´sente ´, re ´solu par le biais d’une me ´thode aux e ´le ´ments finis transitoires, examine un certain nombre de proce ´de ´s, y compris la conduction, la convection, le changement de phase, les de ´placements de l’humidite ´ sous l’effet d’as- pirations cryoge ´niques, et le de ´veloppement de lentilles de glace. Deux sce ´narios de conge ´lation saisonnie `re sont examine ´s : (i) pour les sols sans perge ´lisol, c’est a ` dire dans lesquels le gel e ´volue de la surface vers le bas (gel unidirectionnel), et (ii) pour les sols a ` perge ´lisol sous- jacent, dans lesquels d’importants gradients thermiques dans la couche supe ´rieure du perge ´lisol peuvent donner lieu a ` une conge ´lation de la couche active dans les deux sens, c’est a ` dire de la couche de perge ´lisol vers le haut, et de la surface vers le bas (gel bidirectionnel). Dans le cas du gel unidirectionnel, une formation de lentilles de glace se produit au fur et a ` mesure de la progression vers le bas du front de conge ´lation, limite ´e par la fourniture d’eau. Toutefois, dans le gel bidirectionnel, la se ´gre ´gation de la glace se de ´roule dans un syste `me ferme ´, des lentilles de glace s’accumulant a ` la base de la couche active, et a ` proximite ´ de la surface, en laissant une zone intercale ´e pauvre en glace. La mode ´lisation nume ´rique permet de repre ´senter le de ´veloppement du champ ther- mique et de la se ´gre ´gation de la glace observe ´e dans les mode `les physiques. On examine l’importance de cette distribution contraste ´e de la glace au sol dans le contexte des proce ´de ´s a ` mouvements de masse lents relatifs au de ´gel (solifluction). INTRODUCTION In cold regions, the soil near the ground surface may freeze in response to seasonal temperature variations. The soil- freezing process is often accompanied by frost heave and ice segregation. Frost heave and ice segregation can potentially cause many engineering problems, including cracking of pavements, damage to the foundations of structures, and fracture of pipelines. An additional problem that is often linked to seasonal ice segregation is that of periglacial solifluction on slopes (Harris, 1996; Matsuoka, 2001; Harris et al., 2007) during the thaw phase of the freeze–thaw cycle. A number of experimental investigations have reported the response of frost-susceptible soils to various freezing and thawing regimes at various scales (Penner, 1986; Harris, 1996; Matsuoka, 2001; Harris et al., 2007). Such investiga- tions span from small-scale column-freezing tests (Penner, 1986), to scale centrifuge tests (Harris, 1996; Kern-Luetschg et al., 2008), through large-scale tests (Harris et al., 2008b) to long-term field-scale monitoring (Harris, 1996; Harris et al., 2007). It has been found that the type of boundary conditions present impact greatly on the styles of freezing and subsequent ground movements. However, a good corre- lation between the various scales has been found (Harris et al., 2008b). In the context of solifluction processes, a strong correlation between the downslope movements and the loca- tion of ice-rich soil layers has been observed (Harris et al., 2008a), and therefore it is of value if the location of such layers, where ice lensing has occurred, can be identified. This paper reports on the development of a numerical model to simulate the possible location of such lenses, and thereby contribute towards the development of models to predict the Manuscript received 2 May 2008; revised manuscript accepted 19 December 2008. Discussion on this paper closes on 1 September 2009, for further details see p. ii. * Geoenvironmental Research Centre, Cardiff School of Engineer- ing, Cardiff University, Wales, UK. † School of Earth Sciences, Cardiff University, Wales, UK.

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Page 1: Modelling of cryogenic processes in permafrost and ...orca.cf.ac.uk/8408/1/Thomas & Cleall 2009.pdf · Modelling of cryogenic processes in permafrost and seasonally frozen soils

Thomas, H. R. et al. (2009). Geotechnique 59, No. 3, 173–184 [doi: 10.1680/geot.2009.59.3.173]

173

Modelling of cryogenic processes in permafrost and seasonallyfrozen soils

H. R. THOMAS*, P. CLEALL*, Y.-C. LI* , C. HARRIS† and M. KERN-LUETSCHG†

This paper investigates the thermo-hydro-mechanical(THM) behaviour of soils subjected to seasonal tempera-ture variations in both permafrost and seasonally frozenconditions. Numerical modelling of soil freezing and icesegregation processes is presented, and compared againstsmall-scale physical modelling experiments. The coupledTHM model presented, which is solved by way of atransient finite element approach, considers a number ofprocesses, including conduction, convection, phasechange, the movement of moisture due to cryogenicsuctions, and the development of ice lenses. Two seasonalfreezing scenarios are considered: (a) for soils with nopermafrost, where freezing is from the surface downward(one-sided freezing); and (b) for soils underlain by per-mafrost, where large thermal gradients in the uppermostpermafrost layer can cause active layer freezing in twodirections, from the permafrost table upwards and fromthe ground surface downwards (two-sided freezing). Inthe case of one-sided freezing, ice lens formation occursas the freezing front advances downwards from the sur-face, and is limited by water supply. However, duringtwo-sided freezing, ice segregation takes place in a closedsystem, with ice lenses accumulating at the base of theactive layer and near the ground surface, leaving anintervening ice-poor zone. Numerical modelling is able torepresent the development of both the thermal field andice segregation observed in the physical models. Thesignificance of this contrasting ground ice distribution isconsidered in the context of thaw-related slow massmovement processes (solifluction).

KEYWORDS: deformation; ground freezing; numerical model-ling; temperature effects

La presente communication se penche sur le comporte-ment thermo-hydro-mecanique (THM) de sols soumis ades fluctuations saisonnieres de la temperature dans lepergelisol et le gel saisonnier. Elle presente egalementune modelisation numerique des procedes de congelationdu sol et de segregation de la glace, et en effectue lacomparaison avec des experiences de modelisation physi-que a petite echelle. Le modele a THM couple ainsipresente, resolu par le biais d’une methode aux elementsfinis transitoires, examine un certain nombre de procedes,y compris la conduction, la convection, le changement dephase, les deplacements de l’humidite sous l’effet d’as-pirations cryogeniques, et le developpement de lentillesde glace. Deux scenarios de congelation saisonniere sontexamines : (i) pour les sols sans pergelisol, c’est a diredans lesquels le gel evolue de la surface vers le bas (gelunidirectionnel), et (ii) pour les sols a pergelisol sous-jacent, dans lesquels d’importants gradients thermiquesdans la couche superieure du pergelisol peuvent donnerlieu a une congelation de la couche active dans les deuxsens, c’est a dire de la couche de pergelisol vers le haut,et de la surface vers le bas (gel bidirectionnel). Dans lecas du gel unidirectionnel, une formation de lentilles deglace se produit au fur et a mesure de la progression versle bas du front de congelation, limitee par la fournitured’eau. Toutefois, dans le gel bidirectionnel, la segregationde la glace se deroule dans un systeme ferme, deslentilles de glace s’accumulant a la base de la coucheactive, et a proximite de la surface, en laissant une zoneintercalee pauvre en glace. La modelisation numeriquepermet de representer le developpement du champ ther-mique et de la segregation de la glace observee dans lesmodeles physiques. On examine l’importance de cettedistribution contrastee de la glace au sol dans le contextedes procedes a mouvements de masse lents relatifs audegel (solifluction).

INTRODUCTIONIn cold regions, the soil near the ground surface may freezein response to seasonal temperature variations. The soil-freezing process is often accompanied by frost heave and icesegregation. Frost heave and ice segregation can potentiallycause many engineering problems, including cracking ofpavements, damage to the foundations of structures, andfracture of pipelines. An additional problem that is oftenlinked to seasonal ice segregation is that of periglacialsolifluction on slopes (Harris, 1996; Matsuoka, 2001; Harriset al., 2007) during the thaw phase of the freeze–thawcycle.

A number of experimental investigations have reported theresponse of frost-susceptible soils to various freezing andthawing regimes at various scales (Penner, 1986; Harris,1996; Matsuoka, 2001; Harris et al., 2007). Such investiga-tions span from small-scale column-freezing tests (Penner,1986), to scale centrifuge tests (Harris, 1996; Kern-Luetschget al., 2008), through large-scale tests (Harris et al., 2008b)to long-term field-scale monitoring (Harris, 1996; Harris etal., 2007). It has been found that the type of boundaryconditions present impact greatly on the styles of freezingand subsequent ground movements. However, a good corre-lation between the various scales has been found (Harris etal., 2008b). In the context of solifluction processes, a strongcorrelation between the downslope movements and the loca-tion of ice-rich soil layers has been observed (Harris et al.,2008a), and therefore it is of value if the location of suchlayers, where ice lensing has occurred, can be identified.This paper reports on the development of a numerical modelto simulate the possible location of such lenses, and therebycontribute towards the development of models to predict the

Manuscript received 2 May 2008; revised manuscript accepted 19December 2008.Discussion on this paper closes on 1 September 2009, for furtherdetails see p. ii.* Geoenvironmental Research Centre, Cardiff School of Engineer-ing, Cardiff University, Wales, UK.† School of Earth Sciences, Cardiff University, Wales, UK.

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style and quality of downslope movements exhibited by afrozen slope on thawing.

A number of studies have investigated the development ofmodels to predict frost heave that include the considerationof ice segregation. Gilpin (1980) developed a model topredict ice lensing and heave rates as a function of basic soilproperties: the model assumed that all of the latent heatrelease occurs either at the isotherm or the temperature atwhich an ice lens is growing, and that thermal conductivitiesin each zone (that is, frozen zone, frozen fringe and unfro-zen zone) are constant. Konrad & Morgenstern (1980)presented a theory of frost heave based on segregationpotential and ice lens formation in fine-grained soils, andused a segregation-freezing temperature, which is sensitiveto overburden load, to decide ice lens formation. Nixon(1991) summarised limitations or shortcomings of this theo-ry, including that it does not explicitly predict the keyparameter in terms of more fundamental soil parameters,and it assumes that the overburden pressure and suction atthe frost front affect the heave rate independently. O’Neill &Miller (1985) presented a rigid ice model of frost heaveassuming pore ice motion by regelation, which while lackingexperimental validation was found to correlate well with themeasured observations. Nixon (1991) extended the Gilpin(1980) model and accounted for the effects of distributedphase change within the frozen fringe in both the heat andmass transfer components of the formulation. However, thismodel assumes that all in-situ pore water phase change takesplace at the freezing point, and that the temperature profileremains linear in the frozen fringe. Moreover, this modelassumes no pore water phase expansion, and a constant porewater velocity through the frozen fringe. Konrad & Duquen-noi (1993) proposed a model for water transport and icelensing in incompressible saturated soils based on the ther-modynamic equilibrium of open system freezing and a fail-ure strain criterion for initiating a new ice lens. Although ofinterest, the model requires some input values, such as theefficiency of the freezing system and the fraction of energyfor heat engines, that are difficult to establish.

It is well known that the soil-freezing process involvescoupled heat transfer, moisture transfer and force equili-brium, accompanied by pore water phase change. However,all the models above assume that the freezing soil isincompressible, and include only heat and mass transport inthe soil-freezing process. Therefore any consolidation thatmay occur as a result of pore water transfer cannot be takeninto consideration. For consideration of stability problems incold regions, such as periglacial solifluction, a coupled flowand stress–strain analysis offers an improved insight into thesystem’s behaviour. In addition, almost all of the work isfocused on the one-sided freezing mode, which usuallyoccurs in the seasonally frozen regions without permafrost,with limited effort focused on the two-sided freezing mode,which occurs in the permafrost regions. Field measurementsand laboratory simulations show that one-sided and two-sided freezing modes may form different distributions ofsegregation ice, which results in varied styles of periglacialsolifluction for seasonally frozen and permafrost regions(Matsuoka, 2001).

In this paper, a coupled thermo-hydro-mechanical model,including ice segregation, is presented to simulate the soil-freezing process. Stress–strain equilibrium is incorporatedwith heat and mass transport, and a stress criterion forinitiating new ice lensing is adopted. The highly non-lineargoverning differential equations are solved by a Galerkin-weighted residual technique in the space domain and animplicit integrating scheme in the time domain. This modelis then applied to consider two typical seasonal freezingscenarios, namely in regions without permafrost (one-sided

freezing) and regions with permafrost (two-sided freezing).Results of the numerical modelling are then compared withobserved behaviour in a series of physical models. Finallythe significance of this contrasting ground ice distribution isconsidered in the context of thaw-related slow mass move-ment processes (solifluction).

THEORYThe soil is assumed to be a saturated, isotropic and elastic

medium within which the soil is fully frozen, partiallyfrozen or unfrozen. The frozen soil consists of solid grains,pore ice and ice lenses. The partially frozen soil is consid-ered to consist of solid grains, pore ice and pore water. Theunfrozen soil consists only of soil grains and pore water.The solid grains, pore water and ice are assumed as beingincompressible under the pressure and temperature condi-tions existing in cold regions. Local thermal equilibrium isassumed, that is, the local temperature is the same for soilsolid, pore water and ice. The freezing point of water isassumed constant, and its depression under loading is negli-gible. The main thermo-hydraulic-mechanical interactionsconsidered are illustrated in Fig. 1.

Processes of soil freezing, including ice segregationAs the surface temperature of a soil sample drops below

the freezing point, the freezing front penetrates the sampleprogressively, as shown in Fig. 2. Unsteady heat flow due tothe thermal gradient with depth leads to a decrease of thesoil temperature. Phase change of pore water occurs in theso-called ‘frozen fringe’ (Miller, 1972), when the soil tem-perature falls below the freezing point; also, at this pointlatent heat of fusion is released. Volumetric expansion ofwater due to phase change (liquid to ice) causes an incre-ment of pore pressure within the unfrozen pores. At the ice/water interface a cryogenic suction gradient, which is devel-oped in response to the temperature gradient, draws the porewater in the unfrozen soil towards the freezing front, whichin turn raises pore pressure there. The thermally induceddriving force causing pore water flow by the temperaturegradient can be determined using the Clapeyron equation,whereby consideration of the thermodynamics of the system

Thermal

Thermal conductionconsidering latent heat

Ther

mal

tran

sfer

due

tow

ater

conv

ectio

nW

ater

trans

fer

due

toth

erm

al g

radi

ent

(Cla

peyr

oneq

uatio

n)

Hydraulic

Hydraulic

conduction

Effective stress changedue to pore pressure change

Pore pressure changedue to volumetric strain

Mec

hani

cal

Forc

eeq

uilib

rium

Thermal expansion;

volumetric

expansion

dueto

phasechange

Heat content change

dueto

vulumetric

strain

Fig. 1. Thermo-hydro-mechanical interaction mechanism infreezing soils

174 THOMAS, CLEALL, LI, HARRIS AND KERN-LUETSCHG

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shows that the chemical equilibrium for the chemical poten-tials of ice and water is satisfied (Black, 1995; Henry,2000). Ice segregation takes place if the pore pressurereaches a threshold value, and a new ice lens forms in thedirection of heat removal (Miller, 1978; Gilpin, 1980;O’Neill & Miller, 1985; Nixon, 1991). Moisture accumula-tion and the volumetric expansion due to pore water phasechange in both the fully frozen soils and ice lens result infrost heave.

Moisture transferThe volumetric moisture content for freezing soils is

defined as the sum of the volumetric water content Łl andthe volumetric ice content Łi respectively, which are definedas Łl ¼ n(1 � Si) and Łi ¼ nSi. Here n is the porosity of thefreezing soil; Si refers to the degree of moisture with respectto ice, and can be represented by a power function of thetemperature according to many experiments with varyingwater contents and different physical properties (Tice et al.,1976), as

Si ¼ 1 � 1 � T � T0ð Þ½ �Æ (1)

where T is temperature and T0 is the freezing point of porewater (both in Kelvin), and Æ is a parameter that isdependent on pore size if variations of the chemical compo-sition of the pore liquid are not considered. As this relation-ship only tends towards unity a threshold value of Si is usedto indicate a fully frozen state within the model. Fig. 3shows the relationship of Si and T with Æ ranging from �10to �1.

The law of mass conservation of the moisture for freezingsoils can be expressed as

@ rlŁldVð Þ@ t

þ @ riŁidVð Þ@ t

þ rl=vldV þ ri=vidV ¼ 0 (2)

where the subscripts l and i refer to pore water and ice

respectively; r is the density; v is the velocity relative to thesolid skeleton; dV refers to the volume element of the soil;and t is the time. Darcy’s law is adopted to describe the porewater flow in terms of the piezometric head �l ¼ ul=ªl þ z(Bear & Verruijt, 1987) as

vl ¼ �kl=�l ¼ � kl

ªl

= ul þ ªlzð Þ (3)

where ªl is the unit weight of water; ul is the pore waterpressure; z is the elevation; and kl is the hydraulic conduc-tivity, which is assumed to be a function of the temperaturein the form (Gilpin, 1980; Nixon, 1991)

kl

kl0

¼ 1 � T � T0ð Þ½ �� (4)

where kl0 is the hydraulic conductivity when the soil is fullyunfrozen, and � is a soil parameter that is dependent on pore

Pob (Cold)

Pob (Warm)

Frozensoil

Ice lens

Frozensoil

Ice lens

Frozenfringe

Unfrozensoil

Heat flux

Heat flux

Heat flux

Frozen front

T T= 0

T T= f

Tc Tf T0

T0 Tw

0 0 0 0 ���pob p pob sep�

pob p pob sep�

Newice lens

Clapeyronequation

Water flow

Water flow

Consolidation

Frost heave

0

Water-ice latentheat released

(a) (b) (c) (d) (e)

Fig. 2. Schematic representation of a freezing soil with ice segregation: (a) layers; (b) temperature; (c) pore pressure; (d) cryogenicsuction; (e) water velocity; (f) displacement (Tc,Tw, temperature at cold and warm ends, respectively; Tf , temperature at the base ofice lens; T0, freezing point; pob, surface overburden load; psep, separation strength)

α 5·0� �

α 10·0� �α 3·0� �

α 2·0� �

α 1·0� �

S T Ti � � � �1 [1 ( )]0α

�10 �8 �6 �4 �2 0 2T T : K� 0

0

0·2

0·4

0·6

0·8

1·0

Si

Fig. 3. Model of the relationship between degree of moisturerespect to ice and temperature

MODELLING CRYOGENIC PROCESSES IN PERMAFROST AND FROZEN SOILS 175

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size and structure. Fig. 4 shows the relationship of kl/kl0 andT with different � ranging from �8 to �40.

For freezing soils, numerous experiments have shown thatthe thermal gradient causes the movement of pore water inthe direction of lower temperatures under uniform pressurefields (Hoekstra, 1966; Mageau & Morgenstern, 1980). Thethermally induced driving force causing pore water flow bythe temperature gradient can be determined using theClapeyron equation on the basis of thermodynamics (Black,1995; Henry, 2000),

ul

rl

� ui

ri

¼ L InT

T0

(5)

where ui is the ice pressure and L is the latent heat offusion. The cryogenic suction due to the ice/water interfacetension, ST, is

ST ¼ ul � ui

¼ ul � ri

ul

rl

� L InT

T0

� �

� rl L InT

T0

� rl LT � T0

T0

(6)

Assuming the pressure and temperature to be independentdriving forces for the pore water flow, equation (3) can bemodified following the approach taken by Nakano (1990) as

v l ¼ � kl

ªl

= ul þ ªlz þ STð Þ

¼ � kl

ªl

= ul þ zªlð Þ þrl L

T0

=T

� � (7)

The velocity of pore ice relative to the solid skeleton isignored, so vi ¼ 0. The volume element of the soil dV canbe expressed with respect to the solid volume of the soil dVs

as dV ¼ (1 þ e)dVs. The porosity of the soil can be ex-pressed in terms of the void ratio e as n ¼ e=(1 þ e). Thenequation (2) can be expanded to yield

rl

1

1 þ e

@e

@ t1 � Sið Þ � @Si

@ t

e

1 þ e

� �

þ ri

1

1 þ e

@e

@ tSi þ

@Si

@ t

e

1 þ e

� �

� rl =kl

ªl

=ul

� �þ =

kl

ªl

rl L

T0

=T

� �þ = kl=zð Þ

� �¼ 0

(8)

Here

1

1 þ e

@e

@ t¼ @�v

@ t¼ mT @�

@ t¼ mTP

@u

@ t

where �v refers to the volumetric strain. For two-dimensionalproblems, the differential operator mT ¼ [1, 1, 0], the strainvector � ¼ [�x, �z, ªxz]

T, the strain matrix

P ¼

@

@x0

@

@z

0@

@z

@

@x

26664

37775

T

(9)

and the displacement vector u ¼ [x, z]T.The governing equation of moisture transfer can therefore

be written in the form of primary variables as

Clu

@u

@ tþ ClT

@T

@ t¼ = Kll=ulð Þ þ = KlT=Tð Þ þ J l (10a)

Clu ¼ mTP (10b)

ClT ¼ ri � rl

rl 1 � Sið Þ þ riSi

n@Si

@T(10c)

Kll ¼1

rl 1 � Sið Þ þ riSi

kl

g(10d)

KlT ¼ rl L

T0

1

rl 1 � Sið Þ þ riSi

kl

g(10e)

J l ¼rl

rl 1 � Sið Þ þ riSi

= kl=zð Þ (10f)

Note that the second term of the left-hand side (LHS) inequation (10a) represents the volumetric change due to porewater phase change. The first and second terms of the right-hand side (RHS) contribute to the water flow driven by porepressure gradient and temperature gradient respectively.

Heat transferThe law of energy conservation of heat for freezing soils

can be expressed as

@ �dVð Þ@ t

þ =QdV ¼ 0 (11)

where � refers to the heat content of soil per unit volume,defined as

� ¼ Hc T � Trð Þ � LnSiri (12)

where Hc is the volumetric heat capacity of the soil, definedas

Hc ¼ 1 � Sið Þnr l cl þ nSirici þ 1 � nð Þrscs (13)

where cl, ci and cs are the specific heat capacities of porewater, ice and the solid particles respectively; rs is thedensity of soil particles; and Tr is the reference temperature.Q is the heat flux per unit volume, including conduction andpore water convection, and is defined as

Q ¼ �ºT=T þ clrlvl T � Trð Þ (14)

101

100

10�1

10�2

10�3

10�4

10�5

10�6

kk

ll0

/

�5 �4 �3 �2 �1 0 1T T : K� 0

� 8� �

� 10� �

� 12� � � 16� �

� 24� �

� 40� �

� � �[1 ( )]T T0�k kl l0/

Fig. 4. Model of the relationship between hydraulic conductivityand temperature

176 THOMAS, CLEALL, LI, HARRIS AND KERN-LUETSCHG

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where ºT is the thermal conductivity of the soil, which canbe written as

ºT ¼ 1 � Sið Þnºl þ nSiºi þ 1 � nð Þºs (15)

where ºl, ºi and ºs are the thermal conductivities of porewater, ice and the solid particles respectively. The governingequation of heat transfer can be finally written in the formof primary variables by substituting equations (12) and (13)into equation (11) to give

CTu

@u

@ tþ CTT

@T

@ t¼ = KTl=ulð Þ þ = KTT=Tð Þ þ JT (16a)

CTu ¼ 1 � Sið Þrlcl þ Sirici

� �T � Trð Þ � Siri L

� �mTP

(16b)

CTT ¼ Hc þ rici � rlclð Þ T � Trð Þ � ri L� �

n@Si

@T(16c)

KTl ¼cl kl

gT � Trð Þ (16d)

KTT ¼ ºT þ rl L

T0

cl kl

gT � Trð Þ (16e)

JT ¼ clrl T � Trð Þ= kl=zð Þ (16f)

Note that the first and second terms of the RHS of equation(16a) include the heat convection of the water flow.

Force equilibriumStress equilibrium for non-isothermal small deformation

soils can be expressed as

@ d� ijð Þ@xj

þ dbi ¼ 0 (17)

where bi refers to the body force, and �ij is the total stresstensor, which can be written according to the effective stressprinciple (Terzaghi, 1943) as

� ij ¼ � 9ij þ �ijul (18)

where � 9ij is the effective stress tensor and �ij refers to theKronecker tensor. In the partially frozen soil it is assumedthat the pore ice does not form a continuous phase and isunable to exert a mechanical pressure. However, when thesoil is fully frozen the pore ice is continuous, and the porewater pressure ul effectively represents the mechanical icepressure. Here the compression positive sign convection fornormal stress is chosen. The total strain for freezing soils isassumed to consist of components due to effective stresschange and temperature change,

d� ¼ d�� 9 þ d�T (19)

where the subscripts �9 and T refer to the effective stressand temperature respectively. The incremental total straincan be written in the form of the primary variables as

d� ¼ Pdu (20)

The thermal expansion is assumed proportional to the tem-perature change, and the incremental thermal volumetricstrain will be

d�T ¼ ÆTmdT ¼ ATdT (21)

where ÆT is the thermal expansion coefficient, which maybe dependent on the water content and the temperature ofthe soil; and AT is the thermal vector, defined as

AT ¼ ÆTm (22)

A linear elastic stress–strain relationship is assumed forfreezing soils and is written, in an incremental form, as

d�9 ¼ Dd�� 9 (23)

where �9 is the effective stress vector and D is the standardelastic matrix (Zienkiewicz & Taylor, 2000).

The governing equation of force equilibrium can be finallywritten in the form of primary variables as

Cuuduþ Culdul þ CuTdT þ db ¼ 0 (24)

Cuu ¼ PTDP (24a)

Cul ¼ �PTm (24b)

CuT ¼ �PTDAT (24c)

b ¼ bx bz

� �T(24d)

Governing equations for freezing soils can be reduced tothose for unfrozen and fully frozen soils. In these cases theterms considering water flow driven by the cryogenic suctionrelated to water/ice interface tension do not exist. Forunfrozen soils, ri ¼ rl and Si � 0 are set in the governingequations. For fully frozen soils, rl ¼ ri and Si � 1 are setin the governing equations.

Consequently, the partial differential equations (equations(10), (16) and (24)) are available to describe moisturetransfer, heat transfer and force equilibrium in freezing soils,and are integrated into a finite element program calledCOMPASS, which has been shown to provide stable solu-tions to highly non-linear problems (Thomas & He, 1995,1997).

Ice segregationA stress criterion for initiating a new ice lens is adopted

by many researchers (Miller, 1978; Gilpin, 1980; O’Neill &Miller, 1985; Nixon, 1991) to determine when and where anew ice lens forms. Such approaches consider that in a one-dimensional case the soil skeleton separates and a new icelens forms when the pore pressure exceeds the sum of theoverburden stress pob and the separation strength of thefreezing soil psep: that is, the vertical effective stress is lessthan �psep (tension),

� 9z < �psep (25)

For typical seasonal freezing situations psep is in the range20–150 kPa (Tsytovich, 1975; Mackay, 1980; Nixon, 1991).Such an approach could be developed into a more general-ised form by way of consideration of the strain field, forexample by extending the one-dimensional strain criterionapproach proposed by Konrad & Duquennoi (1993). How-ever, in this study the stress criterion approach defined byequation (25) has been adopted. It should be noted, however,that such an approach still allows consideration of manysituations found in seasonally frozen soils where the direc-tion of major principal stress, in the unfrozen soil, coincideswith the direction of the frozen front movement. It has alsobeen observed that, immediately after a new ice lens isinitiated, the local pore pressure falls to the overburdenstress (Konrad & Morgenstern, 1980; Nixon, 1991).

The algorithm of the standard transient finite elementmethod has been modified to identify the moment when icesegregation takes place with a stress-checking scheme afterthe computation for each time step is completed. If theeffective stress at a particular depth has become lower thanthe separation strength (as shown in equation (25)), thatparticular time step is recalculated with a reduced timeincrement to ensure that at that location the effective stressequals the separation strength at the end of the time step.This allows the algorithm to record the time at which an icelens forms, and its location. To represent the damage to the

MODELLING CRYOGENIC PROCESSES IN PERMAFROST AND FROZEN SOILS 177

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soil structure once ice segregation takes place, the localYoung’s modulus is reduced to an extremely low value andthe vertical effective stress is set to zero; numerical itera-tions are then carried out to perform force redistribution inthe soil. After the inception of each new lens the time stepis reset back to the original time step.

APPLICATION OF MODEL TO TYPICAL CONDITIONSIn this section the proposed model is applied to the

idealised cases of a soil column subjected to both one- andtwo-sided freezing regimes, which correspond to freezingprocesses of a seasonally frozen soil and a soil layer over-lying permafrost respectively. The initial water content ofthe 10 cm soil column is 20%, and the coefficient for thedegree of moisture with respect to ice, Æ ¼ �5.0. Thehydraulic conductivity parameters of kl0 ¼ 5 3 10�10 m/sand � ¼ �8.0 are adopted to represent a typical soil such asa Calgary silty clay (Patterson & Smith, 1981). The heatcapacity and the thermal conductivity of soil solid particlesare taken as cs ¼ 800 J/kg K and ºs ¼ 1.2 J/m s K respec-tively. A shear modulus of G ¼ 0.5 MPa, Poisson’s ratio of� ¼ 0.3 and thermal expansion coefficient of zero are usedfor the soil. Additional parameters are listed in Table 1. Auniform finite element mesh with 100 twelve-node quadrilat-eral elements and a time step of 60 s are adopted todiscretise the problem in the spatial domain and temporaldomain respectively: these have been found to yield con-verged results. It is recognised that in the one-sided freezingexamples the strains developed are particularly large, andthat the use of a large-strain formulation would improve theaccuracy of the solution.

One-sided typical freezing conditionIn this case the column is initially unfrozen, with a

temperature of 0.58C throughout. The top surface tempera-ture is then reduced to �28C, to trigger the freezing process,and remains at that value; the temperature at the base is keptat 0.58C throughout. Water is freely available at the base:that is, the pore pressure is held at zero throughout thefreezing process. This is typical of a soil layer underlain bya more permeable soil layer with a readily accessible watertable.

Four parametric analyses are performed, with overburdenpressures of 50 and 200 kPa and separation strengths of 25and 50 kPa considered. Typically it has been observed thatreduced overburden pressures and separation strengths leadto a system that is more prone to (a) ice lensing in thefrozen fringe and (b) greater frost heave. It can be seen inFig. 5 that an increase in the overburden pressure results ina dramatic reduction in the frost heave. Higher separationstrength also causes less frost heave, but it does not affectthe frost heave as strongly as the overburden pressure. It can

also be seen that the penetration of the freezing front is notsensitive to overburden pressure or separation strength.

The predicted ice lens distributions are illustrated in Fig.6: the white and grey portions of the column represent icelenses and the soils respectively. In the early stage, thefreezing front advances downwards rapidly (Fig. 5), owingto a high thermal gradient near the cold side, and there isnot sufficient time for the formation of visible ice lenses,although ice lenses are initiated. As the rate of the freezingfront penetration decreases, as a consequence of the decreas-ing thermal gradient, larger ice lenses at a greater spacingform progressively in the column. It can be seen that ahigher overburden pressure and separation strength lead tothicker ice lenses with greater spacing. Such predicted icelens distributions are consistent with experimental observa-tions in step-freezing tests (Konrad, 1994), whose cold andwarm sides are maintained at constant temperatures duringthe complete test.

Temperature, pore pressure and water velocity profiles att ¼ 0.75 day, for the typical one-sided freezing condition,with pob ¼ 50 kPa and psep ¼ 25 kPa are shown in Figs 7and 8. It should be noted that positive velocities in Fig. 8refer to upward water flow. The temperature profile is nearlylinear in both the fully frozen and unfrozen sections of thecolumn, whereas in the frozen fringe it exhibits a non-linearprofile owing to the changing thermal conductivity (Fig. 7).

Table 1. Physical parameters for modelling freezing soils

Parameter Value

Density of water, rl: kg/m3 1 000Density of ice, ri: kg/m3 917Heat capacity of water, cl: J/kg K 4 180Heat capacity of ice, ci: J/kg K 2 044Thermal conductivity of water, ºl: J/m s K 0.58Thermal conductivity of ice, ºi: J/m s K 2.22Latent heat of fusion for water, L: J/kg 334 000Reference temperature, Tr: K 293Acceleration due to gravity, g: m/s2 9.81

0

20

40

60

80

1000 0·5 1·0 1·5 2·0 2·5 3·0

Time: days

Froz

en fr

ont p

ositi

on: m

m

Frozenfront

Frostheavepob: kPa pob: kPapsep: kPa psep: kPa

50 50200 20050 50

200 200

25 2525 2575 7575 75

0

20

40

60

80

100

Fros

t hea

ve: m

m

Fig. 5. Frozen front position and frost heave for typical one-sided freezing condition

0

20

40

60

80

100

120

140

160

180

Hei

ght:

mm

One-sided50 kPa25 kPa

pp

ob

sep

��

One-sided50 kPa75 kPa

pp

ob

sep

��

One-sided200 kPa25 kPa

pp

ob

sep

��

One-sided200 kPa75 kPa

pp

ob

sep

��

Two-sided50 kPa25 kPa

pp

ob

sep

��

Fig. 6. Predicted ice lens distributions for typical freezingcondition (white: ice lens region)

178 THOMAS, CLEALL, LI, HARRIS AND KERN-LUETSCHG

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As seen in Fig. 7, in the region of the frozen fringe thedevelopment of a gradient of cryogenic suction results bothin an opposing development of a pore pressure gradient that,to some degree, counteracts the upward water flow drawn bythe cryogenic suction (Fig. 8), and in a large negative porepressure at the base of the fringe. When the pore pressurereaches pob + psep a new ice lens is initiated in the frozenfringe according to the stress criterion (i.e. equation (25)), asshown in Fig. 7. After the ice lens has initiated and icestarts to accumulate, the elevated pore pressure is relievedand falls to a value of pob. At the base of the frozen fringethe large negative pore pressure that has developed results inan almost constant pore pressure gradient in the unfrozensoil, with water drawn towards the frozen fringe from theopen water supply at the bottom boundary at a near-constantvelocity.

The displacement profile for the typical one-sided freezingcondition with pob ¼ 50 kPa and psep ¼ 25 kPa is shown inFig. 9. The steps in the fully frozen portion represent theplaces where ice lenses form. The ice lenses are very thinnear the cold side, and not visible in Fig. 6. The displace-ment is negative under the frozen fringe as a result ofconsolidation. Such consolidation of the soil below a frozen

fringe with a forming ice lens has been observed experimen-tally (Ono, 2002).

Two-sided typical freezing conditionIn this case the temperatures at the top and the base are

initially 68C and �1.58C respectively, with a linear profilebetween the top and the base. The temperatures at the topand base of the column are then held constant for two daysto model a permafrost situation during summer periods. Aflux of water is supplied at the top surface during the times1–1.25 days and 1.75–2 days to represent rainfall, and toallow the process of summer heave (Mackay, 1983) to beconsidered. The temperature at the top of the column is thenreduced to �28C after 2 days and subsequently held at thatvalue to model winter freezing. Apart from the two rainfallsthere is no other water supply at the boundaries.

Initially there is a frozen fringe near the base due to thethermal profile: this results in pore water in the upperportion being drawn downwards towards the frozen fringe,and subsequent ice lens formation in the lower portion,leading to frost heave, as shown in Fig. 10. When rainfall issimulated on the top surface of the column, the water isdrawn quickly towards the frozen fringe and develops thickerice lenses (Fig. 6), causing summer heave (Fig. 10), consis-tent with observed behaviour (Mackay, 1983).

In the summer period there is only one freezing front,which is near the base, as shown in Fig. 10. This freezing

Fully frozen

Frozen fringe

Unfrozen

vp

vT

v vp T�

pob 50 kPa�

psep 25 kPa�

t � 0·75 day

�1·0 �0·5 0 0·5 1·0Pore water velocity: 10 m/s� �6

100

80

60

40

20

0

Dep

th: m

m

Fig. 8. Pore water velocity profiles for typical one-sided freezingcondition (v p, pore water velocity due to pore water pressuregradients; vT, pore water velocity due to temperature gradients)

Fully frozen

Frozen fringe

Unfrozen

pob 50 kPa�

psep 25 kPa�

t � 0·75 day

�5 0 5 10Displacement: mm

100

80

60

40

20

0

Dep

th: m

m

Ice lenses

Consolidation

15

Fig. 9. Displacement profile for typical one-sided freezingcondition

0

20

40

60

80

100

Dep

th: m

m

�2·0 �1·5 �1·0 0–0·5 0·5

Fully frozen

Frozen fringe

Unfrozen

Pore pressure

Temperature

pob � 50 kPa

psep � 25 kPa

t � 0·75 day

�150 �100 �50 0 50 100Pore pressure: kPa

Temperature: °C

Fig. 7. Temperature and pore pressure profiles for typical one-sided freezing condition

0

20

40

60

80

100

Froz

en fr

ont p

ositi

on: m

m

0 0·5 1·0 1·5 2·0 2·5 3·0Time: days

0

2

4

6

8

10

Fros

t hea

ve: m

m

Freezing

Summer heave

Frost heaveUpper frozen frontLower frozen front

Fig. 10. Frozen front position and frost heave for typicaltwo-sided freezing condition

MODELLING CRYOGENIC PROCESSES IN PERMAFROST AND FROZEN SOILS 179

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front moves upwards in the early stage, as a result ofchanges in the thermal conductivity profile related to icelens formation and phase change, and is then stationary untilthe freezing condition is applied to the top of the column.Then the freezing front moves upwards owing to a flux ofthermal energy towards the surface of the column. Simulta-neously, a new freezing front is developed in the upperportion and moves downwards quickly. These two freezingfronts meet after 2.15 days, and at this point the wholecolumn is below 08C.

Temperature and pore pressure profiles for the two-sidedfreezing case after 2.1 days are shown in Fig. 11. Thetemperature remains just above zero degree in the middleunfrozen portion as latent heat is released during waterphase change: this so-called ‘zero curtain’ effect is a well-established phenomenon (Mackay, 1983; Outcalt et al.,1990). Also at this time high negative pore pressures can befound in the central section of the column as water is drawnupwards and downwards by the cryogenic suctions createdin the two frozen fringes, and this effect can also beobserved in the velocity profiles shown in Fig. 12. Finally,thick ice lenses and significant frost heave are found nearthe base, and only very thin ice lenses occur near the topsurface, as shown in Fig. 13. Pore water loss and consolida-tion effects dominate in the middle portion of the column.

SMALL-SCALE PHYSICAL TESTSTwo small-scale laboratory freezing and thawing tests

have been performed that consider cases of both one-sidedand two-sided freezing. Initially, results of the tests are

presented; then the proposed model is applied to simulatethe initial freezing of the sample, and comparisons aremade.

The soil models are constructed in Perspex boxes with afrost-susceptible silty soil. Further details are given in Kern-Luetschg et al. (2008). Fig. 14 shows the model design, witha soil layer placed over a basal sand layer. The soil layer hasa thickness of 9 cm for the one-sided test and 14 cm for thetwo-sided test, and a confining load of 1.5 kPa is applied onthe surface of the sample. The model slope gradient was 128in both cases; however, during freezing the samples weretilted at 128, resulting in the soil surface being horizontal inthis phase of the test. An open water system was providedthrough the basal sand layer for the one-sided test, thereby0

20

40

60

80

100�400 �300 �200 �100 0 100

Pore pressure: kPa

Dep

th: m

m

�2·0 �1·5 �1·0 �0·5 0 0·5

Fully frozen

Frozen fringe

Unfrozen

Frozen fringe

Fully frozen

Pore pressure

Temperature

Temperature: °C

t 2·1 day�

Fig. 11. Temperature and pore pressure profiles for typicaltwo-sided freezing condition

0

20

40

60

80

100�0·10 �0·05 0 0·05 0·10 0·15

Pore water velocity: 10 m/s� �6

Dep

th: m

m

Fully frozen

Frozen fringe

Unfrozen

Frozen fringe

Fully frozen

t 2·1 day�

vp

vTv vp T�

Fig. 12. Pore water velocity profiles for typical two-sidedfreezing condition

0

20

40

60

80

1000 5 10 15 20

Dep

th: m

m

Ice lenses

Consolidation

Thin ice lenses

t � 3·0 day

Displacement: mm

Fig. 13. Displacement profile for typical two-sided freezingcondition

Load

Silt

Silt

Sand

Sand

LVDT

LVDT

LVDT

LVDT

v

v

Open water system

(a)

(b)

Pore pressure transducer

Pore pressure transducer

Thermocouple

Thermocouple

Displacement column

Displacement column

Freezing

Freezing

Vortex tube

Cold air

Fig. 14. Experimental design for: (a) one-sided freezing and(b) two-sided freezing

180 THOMAS, CLEALL, LI, HARRIS AND KERN-LUETSCHG

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allowing ice segregation in the soil layer, with the waterlevel maintained at the soil/sand interface during freezing.For the two-sided test a cold permafrost table was simulatedusing a basal cooling system to allow the unfrozen layer tofreeze from the permafrost table upwards as well as fromthe surface downwards. During the first 24 h of the test,water was sprinkled on to the surface of the soil to allowsummer frost heave to develop. Type K thermocouples (atdepths 0, 3.5, 6 and 7 cm in the one-sided test and 2, 3.5, 6,8, 9 and 12 cm in the two-sided test) were inserted tomonitor the temperatures, and linear voltage transducerswere placed perpendicular to the soil surface to record frostheave during freezing.

Transient frost heave and temperature variations are pre-sented in Figs 15 and 16 for the one-sided and two-sidedfreezing tests respectively. It can be observed that thedevelopment of frost heave is significantly different betweenthe two tests. A uniform frost-heaving rate is observed inthe one-sided test, indicating uniform ice segregationthroughout the soil. However, in the two-sided experiment,where basal temperatures were constantly kept below zero,the frost heaving rate is more varied, and strongly influencedby the addition of water at the surface and the associatedsummer heave. In the one-sided model, surface downwardsfreezing is indicated by the temperature–time series atdepths 0, 1, 3.5 and 7 cm. The development of a pseudo-

isothermal (at ,08C) condition in the soil before the surfacetemperature drops below 08C can be seen. In the two-sidedexperiment the thermal regime is more complex, with activefreezing taking place both at the surface and at the base ofthe sample.

The frozen model slopes were then placed in a geo-technical centrifuge and thawed under a vertical gravitationalfield of 10g. Thawing was from the soil surface downwardsat air temperatures between 108C and 158C and with an opendrainage system. Each model was subjected to five freeze–thaw cycles, after which displacement columns were exca-vated. Fig. 17 shows the displacement column profile for (a)the one-sided and (b) two-sided experiments. Two distinctstyles of behaviour can be seen, with progressive downslopemovement in the one-sided experiment and more ‘plug-like’movement in the two-sided experiment. Such plug-likemovement has been characterised by Mackay (1981) for thecase where the surface displacement is very small as thethaw front penetrates through the upper layers of the slope,but is then markedly increased during melting of the basal

Tem

pera

ture

: °C

5

4

3

2

1

0

�1

�2

T at 0 cm, test T at 0 cm, modelledT at 1·0 cm, test T at 1·0 cm, modelledT at 3·5 cm, test T at 3·5 cm, modelledT at 7·0 cm, test T at 7·0 cm, modelled

7

6

5

4

3

2

1

00 0·5 1·0 1·5 2·0

Time: days

Fros

t hea

ve: m

m

Frost heave, modelled

Frost heave, test

Fig. 15. Frost heave and temperature with time for one-sidedfreezing small scale test

16

12

8

4

0

Fros

t hea

ve: m

m

T at 2·0 cm, testT at 3·5 cm, testT at 9·0 cm, testT at 12·0 cm, test

T at 0 cm, modelledT at 2·0 cm, modelledT at 3·5 cm, modelledT at 9·0 cm, modelledT at 12·0 cm, modelled

0 0·4 0·8 1·2 1·6�6

�4

�2

0

2

Time: days

Tem

pera

ture

: °C

Frost heave, test

Frost heave, modelled

Fig. 16. Frost heave and temperature with time for two-sided freezing small scale test

0·1 m

(a)

(b)

Prototype scale

Fig. 17. Observed sub-surface displacement for: (a) one-sidedand (b) two-sided experiment

MODELLING CRYOGENIC PROCESSES IN PERMAFROST AND FROZEN SOILS 181

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ice-rich zone, giving considerable surface movement late inthe thaw period, with the soil mass above the location of thebasal ice-rich zone moving as a single mass or plug. Theseobserved profiles are of value in terms of assessing thelocations of ice-rich soil layers as the presence of ice lensesand downslope displacement profiles are closely correlated(Harris et al., 2008a, 2008c; Kern-Luetschg et al., 2008). Inthese studies the locations of ice-rich content, formed in thefreezing process, have been identified by way of detailedanalysis of both the thermal field and the development ofvertical displacements. In particular, a strong correlation isfound both between movement of the freezing front andfrost-heaving rates and between shear strain and volumestrain during thaw. Further analysis clearly shows that thedepth at which high downslope shear strain occurs is con-sistent with these identified locations of ice-rich content.

The freezing stages of each of the two tests have beensimulated by the proposed model, and results of theseanalyses are presented below. In each test the porosity of thesilty soil has been determined as 35%, the hydraulic con-ductivity for the fully unfrozen state is estimated as kl0 ¼1.0 3 10�8 m/s with � ¼ �40.0, the shear modulus is takenas G ¼ 1.0 MPa, and a separation strength psep ¼ 75 kPa isadopted. The remaining parameters are as used in theprevious section. For each analysis a representative columnof soil has been considered, and discretised with a uniformfinite element mesh of 1 mm high 12-node quadrilateralelements and a time step of 60 s. This discretisation of theproblem in the temporal and spatial domains has been foundto yield converged results.

In the one-sided freezing small-scale test a two-day periodbefore the temperature at 7 cm drops below the freezingpoint is considered, as the temperature at the base of the soillayer (9 cm) is not available from the test. The temperaturesof the top of the sample and the portion below 7 cm arefixed with those measured experimentally at depths of 0 cmand 7 cm respectively. A water influx of 3.5 3 10�8 m3/s perunit area is provided at the base of the soil layer after thefreezing process starts, based on the measured heave rate inthe test, to represent the open water system in the basal sandlayer.

The predicted temperatures at depths of 1 cm and 3.5 cmare in good agreement with those monitored in the test, asshown in Fig. 15. The predicted distribution of ice lensesnear the surface is almost uniform, as shown in Fig. 18, andis consistent with the linear thaw settlement rate and thedownslope movement profile monitored in the test, shown inFig. 17.

Freezing of the soil layer over a 1.6 day period ofthe two-sided freezing small-scale test is considered here.The temperature at the base of the soil layer is fixed at thetemperature measured at the depth of 12 cm during the test,as shown in Fig. 16. As the temperature at the surface ofsample was not monitored, a time-dependant fixed boundarycondition has been applied at the surface of the soil, basedon an interpolation between the measured air temperatureand the temperature measured at 2 cm, as shown in Fig. 16.A water flux is supplied at the surface of the column duringthe first 24 h to model the addition of water sprinkled ontothe surface of the soil during the test, and a zero fluxboundary condition is applied at the base to represent theimpact of the permafrost layer in the lower portion.

The calculated temperature–time curves before 1.2 days atdepths of 2 cm, 3.5 cm and 9 cm are quite close to thosemonitored in test, as shown in Fig. 16. However, thecalculated temperatures fall later than the test after 1.2 dayswhen the freezing front advances towards the middle of thesoil layer. The reason is that the soil was observed todesaturate to some degree in the test, whereas the soil isassumed to be fully saturated in the proposed model. There-fore in the numerical modelling more water is present in thiscentral region, and more energy is required to be released toallow water phase change to occur, thereby delaying thetemperature drop.

An ice-rich portion between 6 cm and 10 cm is predictedin numerical modelling, as shown in Fig. 18, and it corre-sponds to the zone where the plug-like downslope movementoccurred during the thaw phase in the test, shown in Fig. 17.

No drainage systems were available at the soil surface inthe tests, and the water migrated from below accumulatedand froze near the surface during downward freezing. An icelens is obtained at the surface in the numerical modellingfor both the tests, as shown in Fig. 18. It can be seen that,while water influx simulating rainfall in the two-sided testresults in greater overall heave, a larger ice lens is calculatedin the one-sided test.

CONCLUSIONSThis paper presents an investigation of the behaviour of

soils subjected to seasonal temperature variations in bothpermafrost and seasonally frozen conditions. Numericalmodelling of soil freezing and ice segregation processes ispresented, and compared against small-scale experiments.The coupled THM model presented, which is solved by wayof a transient finite element approach, considers severalprocesses, including conduction, convection, phase change,the movement of moisture due to cryogenic suctions and thedevelopment of ice lenses.

Two seasonal freezing scenarios have been considered,both in terms of typical conditions and as part of anexperimental study. In particular, the two main freezingconditions found in the field are considered: one-sidedfreezing for soils with no permafrost, where freezing is fromthe surface downwards, and two-sided freezing for soilsunderlain by permafrost, where large thermal gradients inthe uppermost permafrost layer can cause active layer freez-ing in two directions, from the permafrost table upwards andfrom the ground surface downwards. The experimental re-sults presented show that, in the case of one-sided freezing,ice lens formation occurs as the freezing front advancesdownwards from the surface, and is limited by water supply.However, during two-sided freezing, ice segregation takesplace in a closed system, with ice lenses accumulating at thebase of the active layer and near the ground surface, leavingan intervening ice-poor zone. The proposed numerical modelis able to represent the development of both the thermal

Ice lenses

One-sided freezing testTwo-sided freezing test

�4 0 4 8 12 16120

100

80

60

40

20

0

Dep

th: m

m

Displacement: mm

Fig. 18. Predicted vertical displacement profiles for small scaletests

182 THOMAS, CLEALL, LI, HARRIS AND KERN-LUETSCHG

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field and the ice segregation observed in the physicalmodels.

ACKNOWLEDGEMENTSThe financial support received from the UK Engineering

and Physical Sciences Research Council through grant num-ber GR/T22964 and technical support from Harry Lane inthe geotechnical centrifuge laboratory are gratefully ac-knowledged.

NOTATIONAT thermal vectorbi body force

cl, ci, cs heat capacities of pore water, ice and the solid particlesrespectively

D standard elastic matrixe void ratio

G shear modulusHc volumetric heat capacity of the soil

kl, kl0 hydraulic conductivity of freezing soils and fullyunfrozen soils respectively

L latent heat of fusion of waterm differential operatorn porosityP strain matrix

pob overburden stresspsep separation strength of the freezing soilQ heat flux per unit volumeSi degree of moisture with respect to iceST cryogenic suctionT temperature

T0 freezing point of pore waterTr reference temperaturet timeu displacement vector

ui, ul ice and water pressures respectivelyv pore water velocity relative to the solid skeletonz elevationÆ parameter for relationship between volumetric ice

content and temperatureÆT thermal expansion coefficient� parameter for relationship between hydraulic

conductivity and temperatureªl unit weight of water�ij Kronecker tensor� strain vector�v volumetric strain

Łi, Łl volumetric ice and water contentºl, ºi, ºs thermal conductivities of pore water, ice and solid

particles respectivelyºT thermal conductivity of the soil� Poisson’s ratior density�9 effective stress vector

�ij, � 9ij total and effective stress tensor respectively� heat content of soil per unit volume�l piezometric head

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184 THOMAS, CLEALL, LI, HARRIS AND KERN-LUETSCHG