کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4471756 1315040 2013 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Approach for the use of MSW settlement predictions in the assessment of landfill capacity based on reliability analysis
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات مهندسی ژئوتکنیک و زمین شناسی مهندسی
پیش نمایش صفحه اول مقاله
Approach for the use of MSW settlement predictions in the assessment of landfill capacity based on reliability analysis
چکیده انگلیسی


• An approach to use landfill settlement predictions to develop landfill closure plans is suggested.
• The approach considers the variability of parameters and uses reliability analysis.
• The approach is useful to landfill managers to plan for collection of waste appropriately to develop closure plans.

In the analysis and design of municipal solid waste (MSW) landfills, there are many uncertainties associated with the properties of MSW during and after MSW placement. Several studies are performed involving different laboratory and field tests to understand the complex behavior and properties of MSW, and based on these studies, different models are proposed for the analysis of time dependent settlement response of MSW. For the analysis of MSW settlement, it is very important to account for the variability of model parameters that reflect different processes such as primary compression under loading, mechanical creep and biodegradation. In this paper, regression equations based on response surface method (RSM) are used to represent the complex behavior of MSW using a newly developed constitutive model. An approach to assess landfill capacities and develop landfill closure plans based on prediction of landfill settlements is proposed. The variability associated with model parameters relating to primary compression, mechanical creep and biodegradation are used to examine their influence on MSW settlement using reliability analysis framework and influence of various parameters on the settlement of MSW are estimated through sensitivity analysis.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Waste Management - Volume 33, Issue 10, October 2013, Pages 2029–2034
نویسندگان
, , ,