Meethotamulla Landfill Failure Analysis: A Probabilistic Approach

Basha, B Munwar and Raviteja, K V N S (2018) Meethotamulla Landfill Failure Analysis: A Probabilistic Approach. In: Geotechnics for Natural and Engineered Sustainable Technologies. Springer, Singapore, pp. 341-351. ISBN 9789811077210

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This paper assesses the possible conditions that might have resulted in the recent catastrophic failure of the Meethotamulla landfill slope at Colombo. This paper presents a probabilistic approach to find the different combinations of parameters that might have caused the collapse of landfill slope. A performance function is formulated, and the reliability of the slope is assessed using first-order reliability method (FORM). The factor of safety associated with various slip surfaces are computed with different combinations of mean and COV. The results obtained from the reliability analysis based on FORM agree closely with the reported post-failure investigations. The analysis elucidated the possible causes of landfill slope failure. The outcome of the analysis can be utilized for finding a remediation with improved knowledge about the shear strength parameters of the solid waste. The probabilistic analysis conducted in the present work reveals that the mean value of shear strength parameters of MSW and its associated variability responsible for the collapse of Meethotamulla garbage dump are friction angle, ϕ=20∘ and stability number, c/γH=0.05. The reliability analysis proved that the most likely reason for the dump failure is the reduction in shear strength parameters of the MSW. The excessive rainfall might have triggered the reduction in shear strength parameters. The analysis of Meethotamulla garbage dump disaster demonstrated that it is very essential to conduct reliability analysis as realistically as possible to find the conditions that have triggered the collapse.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Book Section
Uncontrolled Keywords: Meethotamulla landfill, Probabilistic approach, MSW slopes, Reliability analysis Variability
Subjects: Civil Engineering
Divisions: Department of Civil Engineering
Depositing User: Team Library
Date Deposited: 12 Mar 2018 05:57
Last Modified: 12 Mar 2018 05:57
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