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Related Experiment Video

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Author Spotlight: Advancing Anaerobic Microbiota Research Using a Novel Respirometry Protocol

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A comparison between constitutive models for the municipal solid waste.

Mohammadreza Yousefi¹, Nader Shariatmadari¹, Ali Noorzad²

¹Department of Civil Engineering, Iran University of Science & Technology, Tehran, Iran.

Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA

|October 30, 2021

Summary

The Krase model accurately predicts municipal solid waste (MSW) behavior by considering factors like age and biological changes. Other models, including soil behavior models, show significant errors in MSW analysis.

Keywords:

Constitutive models elasto-plastic behaviour fibre landfill municipal solid waste paste

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Area of Science:

Environmental Engineering
Materials Science
Geotechnical Engineering

Background:

Municipal solid waste (MSW) behavior is complex, influenced by various factors.
Accurate modeling of MSW is crucial for effective waste management and landfill design.

Purpose of the Study:

To compare the accuracy of different behavioral models for municipal solid waste (MSW).
To identify the most suitable model for predicting MSW strain-stress behavior under experimental conditions.

Main Methods:

Reviewed proposed behavioral models for MSW.
Developed algorithms and codes for selected models.
Input identical experimental data to generate strain-stress curves for each model.
Analyzed models based on elastic, plastic, biological, and creep strains, and waste age.

Main Results:

The Krase model demonstrated the least error compared to other models.
Models incorporating waste age, creep, and biological changes showed improved accuracy.
A soil behavior model applied to MSW yielded significant errors, highlighting distinct material properties.

Conclusions:

The Krase model is superior for predicting MSW behavior due to its comprehensive parameter consideration.
MSW exhibits distinct behavior from soil, necessitating specialized modeling approaches.
Accurate MSW modeling requires accounting for time-dependent factors like aging and biological decomposition.