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contributor authorAli Jahanfar
contributor authorBahram Gharabaghi
contributor authorEdward A. McBean
contributor authorBrajesh K. Dubey
date accessioned2017-12-16T09:10:33Z
date available2017-12-16T09:10:33Z
date issued2017
identifier other%28ASCE%29GT.1943-5606.0001704.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4239547
description abstractThe geotechnical properties (e.g., density, friction angle, and cohesion) of waste material in landfills and dumpsites vary significantly, depending on the waste composition and compaction practices. This variability results in a major source of uncertainty in slope stability analysis for municipal solid waste (MSW) disposal sites. This study presents a novel probabilistic approach for slope stability analysis by backcalculation, assigning probability distributions to waste material properties. Using backanalysis of historical, well-documented failed waste slopes, probability distributions for the density, friction angle, and cohesion of MSW are assigned based on the disposal method (landfill or dumpsite) and waste material composition (fibrous or food waste materials). MSW with (1) major food waste contents has lower shear strength (friction angle = 22.2° and cohesion = 19.2 kPa) in comparison with MSW with major fibrous waste contents (friction angle = 34° and cohesion = 14 kPa) and (2) compaction practices in landfills compared to dumpsites result in 20% higher shear-strength properties for the waste material. The application of this new approach and its advantages is demonstrated/validated using four case studies (Rumpke, Durban, Istanbul, and Sarajevo).
publisherAmerican Society of Civil Engineers
titleMunicipal Solid Waste Slope Stability Modeling: A Probabilistic Approach
typeJournal Paper
journal volume143
journal issue8
journal titleJournal of Geotechnical and Geoenvironmental Engineering
identifier doi10.1061/(ASCE)GT.1943-5606.0001704
treeJournal of Geotechnical and Geoenvironmental Engineering:;2017:;Volume ( 143 ):;issue: 008
contenttypeFulltext


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