A comparison between constitutive models for the municipal solid waste

被引:1
|
作者
Yousefi, Mohammadreza [1 ]
Shariatmadari, Nader [1 ]
Noorzad, Ali [2 ]
Mohammadi, Amirhossein [3 ,4 ]
Mahmoodi, MohammadJavad [2 ]
机构
[1] Iran Univ Sci & Technol, Dept Civil Engn, Univ St,Hengam St,Resalat Sq, Tehran 1311416846, Iran
[2] Shahid Beheshti Univ, Fac Civil Water & Environm Engn, Tehran, Iran
[3] Univ Quebec Abitibi Temiscamingue UQAT, Res Inst Mines & Environm, Rouyn Noranda, PQ, Canada
[4] Tafresh Univ, Dept Civil Engn, Tafresh, Iran
关键词
Constitutive models; municipal solid waste; landfill; fibre; paste; elasto-plastic behaviour; SHEAR-STRENGTH; MSW; TEMPERATURE; STABILITY; LANDFILL; BEHAVIOR;
D O I
10.1177/0734242X211045002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:111 / 119
页数:9
相关论文
共 50 条
  • [31] LCA comparison of container systems in municipal solid waste management
    Rives, Jesus
    Rieradevall, Joan
    Gabarrell, Xavier
    [J]. WASTE MANAGEMENT, 2010, 30 (06) : 949 - 957
  • [32] Combustion of municipal solid waste in fluidized bed or on grate - A comparison
    Leckner, Bo
    Lind, Fredrik
    [J]. WASTE MANAGEMENT, 2020, 109 : 94 - 108
  • [33] Comparison of source-separated municipal solid waste compost and solid manure
    Rodd, AV
    Warman, P
    Hicklenton, P
    Webb, K
    Halsey, R
    Friesen, B
    Breau, P
    Antler, S
    Hennessey, T
    [J]. PROCEEDINGS OF THE INTERNATIONAL COMPOSTING SYMPOSIUM (ICS'99), VOLS 1 AND 2, 2000, : 773 - 800
  • [34] A constitutive model for municipal solid waste incorporating bounding surface plasticity and reinforcing effect
    Chang, Ji-Yun
    Feng, Shi-Jin
    [J]. COMPUTERS AND GEOTECHNICS, 2020, 123
  • [35] Stress-Strain Behavior of Municipal Solid Waste Using Constitutive Modeling Approach
    Chouksey, Sandeep K.
    [J]. RECENT THOUGHTS IN GEOENVIRONMENTAL ENGINEERING, 2020, : 146 - 149
  • [36] Thermo-mechanical volume change behavior and constitutive model of municipal solid waste
    Li Y.-P.
    Chen J.-R.
    Shi J.-Y.
    Fan B.-Y.
    [J]. Yantu Lixue/Rock and Soil Mechanics, 2024, 45 (01): : 49 - 58and67
  • [37] An elastoplastic constitutive model for municipal solid waste (MSW) incorporating solid particle compression and fibrous reinforcing effect
    Li, Xiulei
    Zhang, Yuchen
    Li, Yuping
    Shi, Jianyong
    Sun, Yanan
    [J]. JOURNAL OF CLEANER PRODUCTION, 2023, 425
  • [38] VARIOUS MODELS USED IN ANALYSING MUNICIPAL SOLID WASTE GENERATION−A REVIEW
    Srinivasaiah R.
    Swamy D.R.
    Krishna A.S.
    Airsang C.V.
    Reddy D.C.
    Shekar J.S.
    [J]. Journal of Solid Waste Technology and Management, 2021, 47 (03): : 569 - 578
  • [39] Municipal Solid Waste Forecasting in China Based on Machine Learning Models
    Yang, Liping
    Zhao, Yigang
    Niu, Xiaxia
    Song, Zisheng
    Gao, Qingxian
    Wu, Jun
    [J]. Frontiers in Energy Research, 2021, 9
  • [40] Comparative assessment of settlement models for municipal solid waste landfill applications
    Department of Civil Engineering, Stanford University, Stanford, CA, United States
    不详
    [J]. Waste Manage. Res., 5 (347-368):