Subsidence prediction of reinforced soil layer by geosynthetic using large-scale 1g physical model

Al Heib, Marwan; Hassoun, Mouhamad; Villard, Pascal; Emeriault, Fabrice; Farhat, Abbas

Subsidence can result from the collapse of underground cavities. The impact of the movements on existing structures and infrastructures is generally dramatic. Geosynthetic sheets (RG) can be used to reduce their impact. This paper focuses on the use of large-scale physical modelling to study the subsidence mechanisms and to estimate the RG efficiency for cohesive or granular soil layers. The results have shown that the RG reduced the ground movement even under important overload. The deformation of the RG and the surface settlement depend both on the soil type and overload intensity. The experimental results are compared to analytical solutions proposed to design the RG for cohesive and granular soils. Stress distribution on the RG was investigated. The analytical and experimental results are rather similar, that shows the relevance of the analytical models to predict the behaviour of reinforced soil layers.

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Al Heib, Marwan / Hassoun, Mouhamad / Villard, Pascal / et al: Subsidence prediction of reinforced soil layer by geosynthetic using large-scale 1g physical model. 2020. Copernicus Publications.

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Rechteinhaber: Marwan Al Heib et al.

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