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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.
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.
Area of Science:
- Geotechnical Engineering
- Environmental Engineering
- Waste Management
Background:
- Landfill stability and functionality depend on municipal solid waste (MSW) compressibility.
- Existing correlations between MSW properties and compression parameters lack accuracy or have limited applicability.
- A comprehensive dataset is needed to develop reliable predictive models for MSW compression behavior.
Purpose of the Study:
- To develop a novel method for estimating MSW compression indices using the initial global void ratio (e0*).
- To establish correlations between e0* and various MSW compression parameters.
- To provide a practical tool for predicting MSW compression and strain in landfills globally.
Main Methods:
- Categorized MSW into biodegradable (B), reinforcing (R), and inert (I) fractions with suggested specific gravity values.
- Calculated initial global void ratio (e0*) using initial dry unit weight (γd,0) and ternary MSW composition.
- Developed correlations between e0* and immediate, secondary mechanical creep, and bio-compression indices using a dataset of 124 MSW compression results from 44 studies across 13 countries.
Main Results:
- Established clear correlations between e0* and immediate compression index, secondary compression index (mechanical creep), and secondary compression index (bio-compression).
- The developed method is applicable to MSW with a wide range of compositions (B: 0-79.2%, R: 0-54.0%, I: 2.8-100.0%) and initial dry unit weights (γd,0: 2.0-14.2 kN/m³).
- A simple flowchart was created to facilitate the estimation of MSW compression indices and strains.
Conclusions:
- The initial global void ratio (e0*) is an effective parameter for estimating MSW compression indices.
- The developed method offers improved accuracy and broader applicability for predicting landfill settlement and stability.
- The findings support better landfill design and management practices worldwide, considering diverse MSW characteristics and environmental conditions.
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