Modeling Settlement in MSW Landfills: a Critical Review

El‐Fadel, Mutasem; Khoury, Rita

doi:10.1080/10643380091184200

Cited by 108 publications

(58 citation statements)

References 29 publications

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“…where α and β are fitting parameters corresponding to settlement rate coefficients and t c is the elapsed time for construction corresponding to duration of MSW filling (Ling et al 1998;El-Fadel and Khoury 2000;Park et al 2007). A limitation for using this model is t ≤ t c + 10 (-α/β) , which…”

Section: Empirical Modelsmentioning

confidence: 99%

“…where ε BIO is total strain due to biodegradation, k is the first-order decay coefficient, and t is elapsed time since final waste placement (Park and Lee 1997;El-Fadel and Khoury 2000;Park and Lee 2002;Gourc et al 2010). Applying Eq.…”

Section: Biocompressionmentioning

confidence: 99%

“…Empirical models have been applied as single mathematical functions to represent complete time-dependent settlement (El-Fadel and Khoury 2000). Common mathematical functions used to for MSW settlement include logarithmic, power creep, and hyperbolic functions.…”

Section: Empirical Modelsmentioning

confidence: 99%

“…Tan et al (1991) present a hyperbolic function for representing MSW settlement that has been applied to cases such as settlement of an embankment on soft-ground where geomaterial properties are difficult or impossible to determine (Tan et al 1991;Ling et al 1998;El-Fadel and Khoury 2000;Park et al 2007). Time-dependent MSW settlement is computed with the following hyperbolic equation:…”

Section: Empirical Modelsmentioning

confidence: 99%

“…Waste properties of Deer Track Bioreactor Experiment for waste layers after initial filling (prior to subsequent waste placement) and waste layers at the end-of-filling (prior to placement of final gravel layer) (Bareither et al 2012b (3) biocompression (El-Fadel and Khoury 2000;Hossain et al 2003;Marques et al 2003;Gourc et al 2010;Bareither et al 2012a). Immediate compression is stress-dependent and occurs rapidly with an increase in vertical stress.…”

mentioning

confidence: 99%

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Assessment of municipal solid waste settlement models based on field-scale data analysis

Bareither

Kwak²

2015

Waste Management

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ASSESSMENT OF MUNICIPAL SOLID WASTE SETTLEMENT MODELS BASED ON FIELD-SCALE DATA ANALYSISAn evaluation of municipal solid waste (MSW) settlement model performance and applicability was conducted based on analysis of two field-scale datasets: (1) Yolo and (2) Deer Track Bioreactor Experiment (DTBE). Yolo data were used to assess a multi-layer immediate settlement analysis and model applicability to represent compression behavior in conventional and bioreactor landfills. The DTBE included four waste layers constituting a composite waste thickness. Settlement data for each waste layer were simulated to assess variation in model parameters, and a composite waste settlement prediction was completed via applying average DTBE model parameters to each waste layer and summing settlement to represent measured settlement at the top of the waste column.The multi-layer immediate settlement analysis developed for Yolo provides a framework to estimate the initial waste thickness and waste thickness at end-of-immediate compression.An empirical estimate of the immediate compression ratio (C c ' = 0.23) combined with precompression stress (10 to 15 kPa) and recompression ratio = 1/10•C c ' yielded the target immediate settlement for the Yolo test cells. A precompression stress and recompression ratio may need to be included when using empirical estimates of C c ' to predict immediate settlement under small vertical stress (e.g., less than 15 kPa). shown to provide accurate simulations and predictions of field-scale datasets.The Gourc model included the lowest number of total and optimized model parameters and yielded high statistical performance for the DTBE prediction (R 2 = 0.99). The Gourc model was also found to be the most applicable and straightforward to implement and is recommended for use in practice. All other models that included unique functions for immediate compression, mechanical creep, and biocompression (Machado, Sowers, Marques, Babu, and Chen-2012) are capable of yielding satisfactory MSW simulations and predictions; however, additional model and/or model constraints are necessary for implementing these models.iv ACKNOWLEDGEMENTS

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Section: Empirical Modelsmentioning

confidence: 99%

Section: Biocompressionmentioning

confidence: 99%

Section: Empirical Modelsmentioning

confidence: 99%

Section: Empirical Modelsmentioning

confidence: 99%

mentioning

confidence: 99%

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Assessment of municipal solid waste settlement models based on field-scale data analysis

Bareither

Kwak²

2015

Waste Management

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Model for degradation-induced settlements as part of a coupled landfill model

Bente

Krase

Kowalsky

et al. 2017

Int. J. Numer. Anal. Meth. Geomech.

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Summary This paper deals with a model for time‐dependent compaction of soil‐like porous materials. Although the model is originally developed for degradation‐induced settlements in municipal solid waste landfills, it may be applied to any settlements caused by solid mass loss as well. The presented model is part of a coupled THMC model, that is, a model that considers coupled thermal, hydraulical, mechanical and chemical effects. The Theory of Porous Media is used as continuum mechanical framework. For kinematic description, large strain continuum mechanics are applied. The paper provides a brief insight into the coupled model, but concentrates on the description of the compaction model and its application within coupled analyses of a laboratory experiment and a landfill structure. Copyright © 2017 John Wiley & Sons, Ltd.

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A coupled model for prediction of settlement and gas flow in MSW landfills

Batlle

Lloret

2010

Num Anal Meth Geomechanics

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SUMMARYPrediction of long-term settlement and control of gas pollution to the environment are two principle concerns during the management of municipal solid waste (MSW) landfills. The behavior of settlement and gas flow in MSW landfills is complicated due to the combined effect of mechanical deformation of the solid skeleton and continuous biodegradation of the waste. A one-dimensional settlement and gas flow model is presented in this paper, which is capable of predicting time evolution of settlement as well as temporal and spatial distribution of gas pressure within multi-layered landfills under a variety of operating scenarios. The analytical solution to the novel model is evaluated with numerical simulation and field measurements. The resulting efficiency and accuracy highlight the capability of the proposed model to reproduce the settlement behavior and gas flow in MSW landfills. The influences of operating conditions and waste properties on settlement and gas pressure are examined for typical MSW landfills.

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Modeling Settlement in MSW Landfills: a Critical Review

Cited by 108 publications

References 29 publications

Assessment of municipal solid waste settlement models based on field-scale data analysis

Assessment of municipal solid waste settlement models based on field-scale data analysis

Model for degradation-induced settlements as part of a coupled landfill model

A coupled model for prediction of settlement and gas flow in MSW landfills

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