Stability analysis of geometrically non-homogeneous stratified slopes

Sauffisseau, R and Ahangar Asr, A ORCID: 0000-0002-8210-7519 2017, Stability analysis of geometrically non-homogeneous stratified slopes , in: 25th UKACM Conference on Computational Mechanics, 12 –13 April 2017, University of Birmingham, Birmingham, United Kingdom.

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Abstract

Due to ongoing construction of cities and development of new buildings and infrastructures, many natural slopes in and around urban areas are often subjected to cuts. These excavations result in dramatic changes in the geometry of slope faces mostly by the slope angle to the ground level increasing which could potentially develop levels of risks of slope failures with catastrophic consequences. As most natural slopes are of non-homogeneous layered nature it will be of utmost importance to understand the stability behaviour of such slopes. The current practice in analysing slopes of complicated nature, geometrically and materially, is mostly to apply simplifications which could sacrifice accuracy resulting in application of large factors of safety which could question analytical and also economic feasibility of projects. In this research limit equilibrium and finite element methods are implemented by employing commercial software in order to empirically and numerically model and analyse stratified slopes with the aim of understanding effects of non-homogeneity of geometry and materials on stability. The analysis included determination of factors of safety as well as a sensitivity analysis looking into the combined effects of contributing parameters such as slope angle and non-homogeneity in stability analysis.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
Schools > School of Computing, Science and Engineering
Journal or Publication Title: Proceedings of the 25th UKACM Conference on Computational Mechanics
Publisher: University of Birmigham, UK
Related URLs:
Depositing User: Dr Alireza Ahangar Asr
Date Deposited: 08 Dec 2017 15:42
Last Modified: 11 Oct 2018 18:47
URI: http://usir.salford.ac.uk/id/eprint/44568

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