Global void ratio of municipal solid waste for compression indices estimation

Xiaoqing Pi1, Xunchang Fei2, Yao Wang1

  • 1School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Ave, 639798, Singapore.

Summary

A new method estimates municipal solid waste (MSW) compression indices using initial global void ratio (e0*). This approach enhances landfill stability predictions with a comprehensive dataset from diverse global conditions.

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