A constitutive model for municipal solid waste incorporating bounding surface plasticity and reinforcing effect

Chang, Ji-Yun; Feng, Shi-Jin

doi:10.1016/j.compgeo.2020.103592

Cited by 5 publications

(2 citation statements)

References 48 publications

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“…Some researchers have used the results of their experiments to predict the behavioural model of the waste; however, these experimental results have not been compared with those of other researchers (Alidoust et al, 2018; Karimpour-Fard et al, 2011; Shariatmadari et al, 2009, 2014; Zhao et al, 2016). To obtain a comprehensive model, the proposed models should be compared with laboratory results and the other presented models, while the errors made should also be examined (Chang and Feng, 2020; Collin et al, 2018; Kumar et al, 2020; Lu et al, 2019; Machado et al, 2002, 2017). The models presented for the mechanical behaviour of waste have been obtained using two distinct methods.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, Yan Chang et al have used numerical methods to investigate the behaviour of waste under dynamic loading. Using the results of Machado’s research, the researchers presented the effect of dynamic loading on a two-phase fibre and paste model (Chang and Feng, 2020). This study shows that the Terzaghi principle is not correct for waste compaction and that the pore water pressure in the waste behaves differently than that of the soil.…”

Section: Introductionmentioning

confidence: 99%

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A comparison between constitutive models for the municipal solid waste

et al. 2021

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This paper compares the behavioural models of municipal solid waste (MSW) using the corresponding experimental data. To do so, the proposed models are first reviewed and, then, the algorithms and codes of different models are written. After obtaining each model’s algorithm, the same experimental data are considered as input, and the strain–stress curve is plotted for each model. In the first method, the total strain in the waste is obtained based on the summation of the elastic, plastic, biological, and creep strains. Afterward, the equivalent stress is obtained. In this method, using biological changes over time, the age of the waste is calculated as an effective parameter in MSW behaviour. Moreover, the effect of creep on the waste is considered independently. In the second algorithm, MSW is considered as fibre and paste material, and the strain–stress curve is obtained. In this method, the waste is considered as a soil model, and the effect of different parameters are calculated. Due to the complexity of the MSW behaviour and considering various parameters, such as the age of the waste, E changes over time, creep, and biological changes, the Krase model has less error than the other models. Using the soil behaviour model for the waste has a significant error, indicating the difference between the results for the behaviours of the two substances.

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