Skip to main content

Meethotamulla Landfill Failure Analysis: A Probabilistic Approach

  • Chapter
  • First Online:

Part of the book series: Developments in Geotechnical Engineering ((DGE))

Abstract

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, \( \phi = 20^\circ \) and stability number, \( {c \mathord{\left/ {\vphantom {c {\gamma H}}} \right. \kern-0pt} {\gamma H}} = 0.05 \). 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.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Basha, B. M., & Raviteja, K. V. N. S. (2017). Resistance factor calculations for load resistance factor design (LRFD) of MSW landfill slopes. In Geoenvironmental practices and sustainability linkages and directions (pp. 47–56). Berlin: Springer.

    Google Scholar 

  • Geotechnical Assessment on the Failure at Meethotamulla Waste Fill. (2017). A report by National Building Research Organization (NBRO). Colombo: Ministry of disaster management.

    Google Scholar 

  • Gilbert, R. B., Wright, S. G., & Liedtke, E. (1998). Uncertainty in back-analysis of slopes: Kettleman hills case history. Journal of Geotechnical and Geoenvironmental Engineering, 124(12), 1167–1176 (ASCE).

    Google Scholar 

  • Jahanfar, A., Gharabaghi, B., McBean, E. A., & Dubey, B. K. (2017). Municipal solid waste slope stability modelling: A probabilistic approach. Journal of Geotechnical and Geoenvironmental Engineering, 143(8), 1–10 (ASCE).

    Google Scholar 

  • Tang, W. H., Stark, T. D., & Angulo, M. (1999). Reliability in back analysis of slope failures. Soils and Foundations, JGS, 39(5), 73–80.

    Article  Google Scholar 

  • US Army Corps of Engineers. (1997). Engineering and design: Introduction to probability and reliability methods for use in geotechnical engineering, Engineering Circular 1110-2-547. Washington, DC: US Department of the Army.

    Google Scholar 

  • Zhang, J., Tang, W. H., & Zhang, L. M. (2010). Efficient probabilistic back-analysis of slope stability model parameters. Journal of Geotechnical and Geoenvironmental Engineering, 136(1), 99–109 (ASCE).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to B. Munwar Basha .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Munwar Basha, B., Raviteja, K.V.N.S. (2018). Meethotamulla Landfill Failure Analysis: A Probabilistic Approach. In: Krishna, A., Dey, A., Sreedeep, S. (eds) Geotechnics for Natural and Engineered Sustainable Technologies. Developments in Geotechnical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-7721-0_20

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-7721-0_20

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7720-3

  • Online ISBN: 978-981-10-7721-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics