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PARTICLE IMAGE VELOCIMETRY TO MEASURE DISPLACEMENTS OF A MODEL SANDY SLOPE

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PARTICLE IMAGE VELOCIMETRY TO MEASURE DISPLACEMENTS OF A MODEL SANDY SLOPE

Fabio Gabrieli1 and Simonetta Cola2 INTRODUCTION

Physical modelling is a suitable technique to investigate collapse phenomena in granular soil slopes by observing, under carefully controlled and repeatable test conditions, the evolution of displacements and pore pressure as a function of different initial material and geometrical conditions. The experimental observations from model tests may often lead to a better understanding of the causes of the real event occurrence and to the formulation of basic ideas from which theoretical approaches can be developed. To this aim, a 1g slope model has been recently set up at the Geotechnical Laboratory of the University of Padova in order to study the triggering of instability phenomenon in granular soil slope.

Besides a brief description of the model, the paper presents the main outcome of some tests carried out so far, particularly referring to results of the measurement of displacements in the soil mass by using a relatively new measurement technique, namely the Particle Image Velocimetry (PIV).

THE SLOPE MODEL

The 1g physical model built up at the University of Padova is aimed at reproducing a plain-strain state within the slope. Figure 1 shows a general view of the small-scale 1g model (1800 mm long, 390 mm wide and 600 mm high), where the main components - lateral walls, granular slope and loading plate - can be observed. To ensure plain strain conditions, steel rods connecting the top of walls and acting as tendons are used, thus minimizing the displacement of the lateral walls.

The model slopes are prepared by

raining technique using medium-fine uniform sand (mean particle size = 0.42 mm): all mechanisms for deposition are fully automatic and allow for the achievement of homogeneous and highly reproducible slopes. Future research will consider other types of granular materials.

1 PhD Student, Università di Padova, Dpt. IMAGE, via Ognissanti 39, 35129 Padova, Italia (Tel.: +39-049-807- 7909; Fax: +39-049-807-7988; email: fabio.gabrieli@unipd.it

2 Research Associate, Università di Padova, Dpt. IMAGE, via Ognissanti 39, 35129 Padova, Italia (Tel.: +39- 049-807-7900; Fax: +39-049-807-7988; email: simonetta.cola@unipd.it)

Fig. 1: Layout of physical model

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After slope preparation, a steel plate is placed close to the crest and loaded by a hydraulic piston up to the slope failure. The loading system, aimed to reproduce the effect of gravity in a real landslide or the construction of a building on the upper plane, is fully controlled by software set up to regulate the plate displacement or loading rate.

Moreover the model is being equipped with a hydraulic system regulating, under software control, the seepage through the soil mass, in order to reproducing the natural excursions of the ground water level in landslides.

The main aim of tests carried out so far is to optimize the model set up and to evaluate the reliability of the monitoring system.

DISPLACEMENTS MONITORING

The monitoring of the deformation process induced by the plate is carried out using transducers for plate displacements and two digital cameras for the displacements of the soil mass. In the latter case, during the test the two cameras take pictures of the deforming soil through two low-friction glass plates inserted in the lateral steel walls (Figure 1).

The interpretation of the digital images and the reconstruction of the strain field evolution along time are carried out using the Particle Image Velocimetry method that allows recognizing the time sequence of displacement for any point of the slope defined by an initial mesh. Some triggering tests on a special shear box were quantified the accuracy of the method that mainly depends on camera features and on his distance from the object. With respect to the geometric configuration in our model the maximum displacement error is around 3 Pm.

PIV RESULTS

A pictorial view of a typical displacement field obtained by PIV is provided in Figures 2a and 2b. Both the picture referring to the displacements accumulated up to failure, but similar diagrams may be obtained for incremental strains and displacements.

Like evident in Figure 2, the recognizing of the shear strain localization facilitates the reconstruction of the failure mechanism. For example, in Figure 2 it is evident the shape of the failure mechanism, similar of that occurring under

a footing near to a slope crest, i.e. a triangular wedge deepening like a solid mass in the soil and laterally pushing the soil forming the slope.

Finally, these results may be compared with prediction obtained by analytical or numerical method, such Finite Element or Discrete Element Methods, in order to calibrate and validate the later.

Keywords: Physical model, slope stability, granular soils, monitoring.

Fig. 2: Displacement field (a) and vertical displacement (b) accumulated up to failure.

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