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The Influence of Air Void Content on Moisture Damage Susceptibility of Asphalt Mixtures: A Computational Study Aikaterini Varveri, Cor Kasbergen & Tom Scarpas Pavement Engineering, Delft University of Technology Stavros Avgerinopoulos & Andy Collop Faculty of Engineering, De Montfort University CROW Infradagen 2014, The Netherlands, June 18-19, 2014

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Page 1: 084 varveri infradagen 1

The Influence of Air Void Content on Moisture Damage Susceptibility of Asphalt Mixtures: A Computational Study

Aikaterini Varveri, Cor Kasbergen & Tom Scarpas Pavement Engineering, Delft University of Technology

Stavros Avgerinopoulos & Andy Collop Faculty of Engineering, De Montfort University

CROW Infradagen 2014, The Netherlands, June 18-19, 2014

Page 2: 084 varveri infradagen 1

Moisture Damage in AC

Moisture diffusion

Advective transport

Wheel loading

Pumping action

CO

UP

LIN

G Degradation of the cohesive strength

of the asphalt binder

Loss of the adhesion bond between aggregate & asphalt binder

The Influence of Air Void Content on Moisture Damage Susceptibility of Asphalt Mixtures: A Computational Study

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Moisture Diffusion

( )t

D D e e

ij i j m iji, j

D a d

Molecular diffusion tensor

The Influence of Air Void Content on Moisture Damage Susceptibility of Asphalt Mixtures: A Computational Study

tNormalized moisture concentration C / C

Fick’s Second Law

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Influence of Air Voids on Moisture Damage

The Influence of Air Void Content on Moisture Damage Susceptibility of Asphalt Mixtures: A Computational Study

D e eij i j m ij

i,j

D a d

From literature:

Moisture diffuses faster in air (Dair>Dbinder) Air void phase controls the rate of moisture diffusion into an

asphaltic mixture An association is found between moisture diffusion and the

interconnectivity of the voids

Past Modelling Efforts Problems

- Asphalt concrete was modelled as a two-phase material

- 2D finite element models of asphalt concrete were utilized

- Underestimate moisture damage susceptibility - Inability to distinguish among different types of mixtures (PA, SMA, etc.)

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FE Micromechanical Meshes

The Influence of Air Void Content on Moisture Damage Susceptibility of Asphalt Mixtures: A Computational Study

PA & SMA Mixtures

Mixture Type

Nominal Maximum Aggregate Size

(mm)

Binder Content Pb (%)

Air Void Content

(%)

Interconnectivity of Air Voids

(%)

PA 10 4.4 23.7 90

SMA 10 6.4 5.3 10

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Moisture Diffusion Analyses

The Influence of Air Void Content on Moisture Damage Susceptibility of Asphalt Mixtures: A Computational Study

SMA Mixture

PA Mixture

1.0 0.0 θ

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Moisture Diffusion Analyses

The Influence of Air Void Content on Moisture Damage Susceptibility of Asphalt Mixtures: A Computational Study

0.00

0.20

0.40

0.60

0.80

1.00

0.00 10.00 20.00 30.00 40.00 50.00 60.00 70.00 80.00 90.00 100.00

No

rma

lize

d m

ois

ture

co

nce

ntr

ati

on

Specimen diameter (mm)

1 day

2 days

3 days

4 days

5 days

SMA Mixture

PA Mixture

A A’

A A’

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T T T T

d d d d d¥ ¥ ¥ ¥= Þ = = =F F F C F F F F F F F C F

T T T T

e v v e e v v e v¥ ¥ ¥ ¥= Þ = = =F F F C F F F F F F F C F

Viscoelastic-Damage Energy Based Model

Multiplicative decomposition

The Influence of Air Void Content on Moisture Damage Susceptibility of Asphalt Mixtures: A Computational Study

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: 0 P FD

Viscoelastic-Damage Energy Based Model

Clausius-Planck Inequality

Rate of Internal Mechanical Work

Free Energy Function Ψ(F, ξ1, ξ2,…)

,v e dC C

Helmholtz free energy function

The Influence of Air Void Content on Moisture Damage Susceptibility of Asphalt Mixtures: A Computational Study

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Moisture Damage Evolution Law

The Influence of Air Void Content on Moisture Damage Susceptibility of Asphalt Mixtures: A Computational Study

1 (1 )(1 )md d d

Total Damage Equation

(Kringos et al., 2011)

d

1.0

1.0 0.0 ̂

ˆd

1.0

1.0 0.0

d f

d

1rk W

md e

1 ad e

Moisture Damage

Mechanical Damage

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Mechanical-Moisture Damage Analyses

The Influence of Air Void Content on Moisture Damage Susceptibility of Asphalt Mixtures: A Computational Study

Dry specimen After 210 hrs of moisture diffusion

1.0 0.0 d

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Moisture Concentration and Damage Distribution

Mechanical damage

Mechanical & moisture damage

48 hrs of moisture diffusion

1.0

0.0

θ

1.0

0.0

d

The Influence of Air Void Content on Moisture Damage Susceptibility of Asphalt Mixtures: A Computational Study

1.0

0.0

d

SMA mixture PA mixture

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Strength vs. moisture conditioning time

The Influence of Air Void Content on Moisture Damage Susceptibility of Asphalt Mixtures: A Computational Study

SMA Mixture

PA Mixture

Moisture susceptibility parameter α1 >α2

21%

19 %

43 %

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Conclusions

Asphalt concrete is modeled as a three-phase material in three-dimensions (3D) for the first time.

The model is capable of predicting the degradation of the mechanical performance of asphalt mixtures with increasing moisture content.

The analyses confirm the well-known fact that AC mixtures with higher air void content are more prone to moisture damage.

Availability of the model enables assessing and ranking mixtures for their moisture damage susceptibility.

The Influence of Air Void Content on Moisture Damage Susceptibility of Asphalt Mixtures: A Computational Study

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Aikaterini Varveri, Cor Kasbergen & Tom Scarpas Pavement Engineering, Delft University of Technology

Stavros Avgerinopoulos & Andy Collop Faculty of Engineering, De Montfort University

CROW Infradagen 2014, The Netherlands, June 18-19, 2014

Thank you for your attention!