rheological assessment of a debris flow from the … · 2013. 2. 15. · fig. 1 the physical model:...

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12 th Congress INTERPRAEVENT 2012 Grenoble / France – Extended Abstracts www.interpraevent.at RHEOLOGICAL ASSESSMENT OF A DEBRIS FLOW FROM THE LABORATORY EXPERIMENTS TO THE REAL SCALE MODELLING Vincenzo D’Agostino 1 , Francesco Bettella 2 and Enrico Pozza 3 INTRODUCTION In last decades, numerical models have been developed for the analysis of hydrogeological problems like mapping hazard areas, definition of velocities, depths and discharges of mud and debris flows. Even though many modelling tools offer consistent physical-based performances their truthfulness is strongly conditioned by the model-specific assignment of the rheological parameters. For example, viscosity, yield stress and Manning’s n describes the debris-flow mobility in the FLO-2D model, while RAMMS model needs two frictional-collisional parameters of the Voellmy's fluid. In the light of the scientific state of the art on this topic, investigations are still necessary to strengthen the rheology assignment. The mobility properties can be mainly obtained by means of two approaches: i) calibration via the back analysis of well documented debris-flow events; ii) upscaling laboratory measurements of the ‘measurable’ flow rheology at the field scale and for the numerical model in use. The term ‘measurable’ is to say that a sub-sample composed by the finest components of the expected debris flow can be often tested. RESEARCH METHODOLOGY, RESULTS AND CONCLUSIVE REMARKS The aim of the investigations is to join the results of the above mentioned double calibration for the case study of the Rotolon torrent (Prealpine area, Veneto Region, Vicenza, Italy), an extremely active debris-flow stream whose hazard along with the building of torrent-control works is documented since 500 hundred years. After such comparison some guidelines are proposed to upscale the best laboratory rheology to the prototype numerical scale. The mobility evaluation in the laboratory has been carried out using a tilting channel followed by a deposition area (D’Agostino et al., 2010). The physical model (Fig. 1a) consists of a flume (1.80 m × 0.15 m) with adjustable inclination (α = 0°-38°) connected with a fixed horizontal plane (1.5 m × 1 m) having a surface roughness (2 mm) to simulate the ground friction. In order to study the travel distance, a key parameter is the mobility ratio L/H (Fig. 1b), which is significant for several massive phenomena such as avalanches, debris flows and landslides. Its reciprocal (H/L = tanβ; Fig. 1b) is the dynamic friction factor or the value of the mean energetic slope. Several researchers (Corominas, 1996; Iverson, 1997) suggested a range of L/H from 2 to 20 and a decreasing trend with the logarithm of the deposited volume. The laboratory experiments on a sub-sample (diameters finer than 19 mm) of the clay-rich debris-flow material of the Rotolon torrent (runout tests - Fig. 1 - with variable sediment concentration) show values of L/H between 2.52 and 4.06 (mean = 3.66) (Fig. 2a). Numerical simulations of the artificial flume experiments have been then conducted using the FLO-2D model. Since this numerical model cannot simulate cells with sizes of centimetres the space scale has been amplified by using the Froude similarity. The numerical modelling along with the associated back analysis of lab tests was carried out at different amplification scales (50, 100, 200 and 300 with consequent sediment volumes according to the Froude scaling) looking for the best calibration of the rheological parameters at each scale. Similarly, a numeric back analysis was conducted at real scale for the debris flow occurred on 2nd May 2009, which deposited about 50,000 m 3 material along the Rotolon torrent. 1 Prof. Vincenzo D’Agostino. University of Padova, TeSAF Department, Viale dell’Università 16, 35020 Legnaro (PD), Italy (e-mail: [email protected]) 2 PhD. Francesco Bettella. University of Padova, TeSAF Department, Italy 3 PhD. Enrico Pozza. University of Padova, TeSAF Department, Italy - 86 -

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Page 1: RHEOLOGICAL ASSESSMENT OF A DEBRIS FLOW FROM THE … · 2013. 2. 15. · Fig. 1 The physical model: a) after a runout experiment; b) diagram that shows the debris flow location at

12th Congress INTERPRAEVENT 2012 Grenoble / France – Extended Abstracts www.interpraevent.at

RHEOLOGICAL ASSESSMENT OF A DEBRIS FLOW FROM THE LABORATORY EXPERIMENTS TO THE REAL SCALE MODELLING

Vincenzo D’Agostino1, Francesco Bettella2 and Enrico Pozza3

INTRODUCTION

In last decades, numerical models have been developed for the analysis of hydrogeological problems like mapping hazard areas, definition of velocities, depths and discharges of mud and debris flows. Even though many modelling tools offer consistent physical-based performances their truthfulness is strongly conditioned by the model-specific assignment of the rheological parameters. For example, viscosity, yield stress and Manning’s n describes the debris-flow mobility in the FLO-2D model, while RAMMS model needs two frictional-collisional parameters of the Voellmy's fluid. In the light of the scientific state of the art on this topic, investigations are still necessary to strengthen the rheology assignment. The mobility properties can be mainly obtained by means of two approaches: i) calibration via the back analysis of well documented debris-flow events; ii) upscaling laboratory measurements of the ‘measurable’ flow rheology at the field scale and for the numerical model in use. The term ‘measurable’ is to say that a sub-sample composed by the finest components of the expected debris flow can be often tested.

RESEARCH METHODOLOGY, RESULTS AND CONCLUSIVE REMARKS

The aim of the investigations is to join the results of the above mentioned double calibration for the case study of the Rotolon torrent (Prealpine area, Veneto Region, Vicenza, Italy), an extremely active debris-flow stream whose hazard along with the building of torrent-control works is documented since 500 hundred years. After such comparison some guidelines are proposed to upscale the best laboratory rheology to the prototype numerical scale. The mobility evaluation in the laboratory has been carried out using a tilting channel followed by a deposition area (D’Agostino et al., 2010). The physical model (Fig. 1a) consists of a flume (1.80 m × 0.15 m) with adjustable inclination (α = 0°-38°) connected with a fixed horizontal plane (1.5 m × 1 m) having a surface roughness (2 mm) to simulate the ground friction. In order to study the travel distance, a key parameter is the mobility ratio L/H (Fig. 1b), which is significant for several massive phenomena such as avalanches, debris flows and landslides. Its reciprocal (H/L = tanβ; Fig. 1b) is the dynamic friction factor or the value of the mean energetic slope. Several researchers (Corominas, 1996; Iverson, 1997) suggested a range of L/H from 2 to 20 and a decreasing trend with the logarithm of the deposited volume. The laboratory experiments on a sub-sample (diameters finer than 19 mm) of the clay-rich debris-flow material of the Rotolon torrent (runout tests - Fig. 1 - with variable sediment concentration) show values of L/H between 2.52 and 4.06 (mean = 3.66) (Fig. 2a). Numerical simulations of the artificial flume experiments have been then conducted using the FLO-2D model. Since this numerical model cannot simulate cells with sizes of centimetres the space scale has been amplified by using the Froude similarity. The numerical modelling along with the associated back analysis of lab tests was carried out at different amplification scales (50, 100, 200 and 300 with consequent sediment volumes according to the Froude scaling) looking for the best calibration of the rheological parameters at each scale. Similarly, a numeric back analysis was conducted at real scale for the debris flow occurred on 2nd May 2009, which deposited about 50,000 m3 material along the Rotolon torrent.

1 Prof. Vincenzo D’Agostino. University of Padova, TeSAF Department, Viale dell’Università 16, 35020 Legnaro (PD), Italy (e-mail: [email protected]) 2 PhD. Francesco Bettella. University of Padova, TeSAF Department, Italy 3 PhD. Enrico Pozza. University of Padova, TeSAF Department, Italy

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Page 2: RHEOLOGICAL ASSESSMENT OF A DEBRIS FLOW FROM THE … · 2013. 2. 15. · Fig. 1 The physical model: a) after a runout experiment; b) diagram that shows the debris flow location at

Fig. 1 The physical model: a) after a runout experiment; b) diagram that shows the debris flow location at the beginning and at the end of a test.

a

b

Fig. 2 a) Volumetric concentration versus mobility ratio L/H for the laboratory tests: sub-sample of the clay-rich debris-flow material of the Rotolon torrent; b) Numerical model simulation of the Rotolon debris flow occurred on 2nd May 2009: the adopted rheology corresponds to the numerical model calibration with regard to the laboratory model amplified by a spatial scale of 200.

The double back analysis of the L/H values for the tilting channel and for the real case has enabled a verified assessment of the rheological parameters and also has pointed out that the spatial upscaling of the lab experiments agrees with the actual debris-flow mobility (Fig.2 b) when this upscaling – in the specific case equal to 200 - corresponds to the real volume according to the Froude similarity. This criterion seems confirm other findings which extend the Froude similarity from water flows to debris flows (Rickenmann, 1999).

REFERENCES

Corominas J. (1996). The angle of reach as a mobility index for small and large landslides. Canadian Geotechical Journal 33: 260–271.

D’Agostino V., Cesca M., Marchi L. (2010). Field and laboratory investigation of runout distances of debris flow in the Dolomites (Eastern Italian Alps), Geomorphology: 294-304.

Heim, A. (1882). Der Bergsturz von Elm. Zeitschrift der Deutschen Geologischen Gesellschaft 34, 74–115

Iverson R. M. (1997). The physics of debris flows. Reviews of Geophysics, 35: 245-296. Rickenmann, D. (1999). Empirical relationships for debris flows. Natural Hazards 19: 47-77. Keywords: debris-flows hazard, rheology, physical model, numerical model

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