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    Reliability Assessment of Bioreactor Landfill Performance Using Coupled Thermo-Hydro-Bio-Mechanical Model

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2022:;Volume ( 148 ):;issue: 005::page 04022023
    Author:
    Girish Kumar
    ,
    Krishna R. Reddy
    DOI: 10.1061/(ASCE)GT.1943-5606.0002773
    Publisher: ASCE
    Abstract: This study presents a reliability-based analysis performed using a coupled thermo-hydro-bio-mechanical model to assess the long-term performance of a typical landfill cell geometry under simulated bioreactor landfill conditions. Several Monte-Carlo simulations were carried out by considering randomly generated lognormally distributed fields of different properties of waste to represent the waste heterogeneity. The long-term performance of the simulated bioreactor landfill cell was evaluated in terms of wetted area (WA), cumulative methane (CH4) gas generated (WCH4), maximum surface settlement (SSmax), and maximum temperature of the waste (Tmax), at different intervals of time during the operation of the simulated bioreactor landfill cell. A deterministic analysis was also conducted using the mean values for the different properties of waste. The results show that the deterministic analysis overpredicts the maximum value for WA, WCH4, SSmax, and Tmax obtained from the stochastic analysis by approximately 10%, 17%, 25%, and 14%, respectively. The most likely values estimated for the four performance metrics from the stochastic analysis were approximately 44%, 88,000  m3, 5.5 m, and 62.5°C, respectively. It was also determined that the waste’s anisotropy with regard to its hydraulic conductivity and the biodegradation-induced void change parameter had the most influence on WA and the SSmax in the landfill cell, respectively.
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      Reliability Assessment of Bioreactor Landfill Performance Using Coupled Thermo-Hydro-Bio-Mechanical Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4283606
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    contributor authorGirish Kumar
    contributor authorKrishna R. Reddy
    date accessioned2022-05-07T21:20:26Z
    date available2022-05-07T21:20:26Z
    date issued2022-02-28
    identifier other(ASCE)GT.1943-5606.0002773.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283606
    description abstractThis study presents a reliability-based analysis performed using a coupled thermo-hydro-bio-mechanical model to assess the long-term performance of a typical landfill cell geometry under simulated bioreactor landfill conditions. Several Monte-Carlo simulations were carried out by considering randomly generated lognormally distributed fields of different properties of waste to represent the waste heterogeneity. The long-term performance of the simulated bioreactor landfill cell was evaluated in terms of wetted area (WA), cumulative methane (CH4) gas generated (WCH4), maximum surface settlement (SSmax), and maximum temperature of the waste (Tmax), at different intervals of time during the operation of the simulated bioreactor landfill cell. A deterministic analysis was also conducted using the mean values for the different properties of waste. The results show that the deterministic analysis overpredicts the maximum value for WA, WCH4, SSmax, and Tmax obtained from the stochastic analysis by approximately 10%, 17%, 25%, and 14%, respectively. The most likely values estimated for the four performance metrics from the stochastic analysis were approximately 44%, 88,000  m3, 5.5 m, and 62.5°C, respectively. It was also determined that the waste’s anisotropy with regard to its hydraulic conductivity and the biodegradation-induced void change parameter had the most influence on WA and the SSmax in the landfill cell, respectively.
    publisherASCE
    titleReliability Assessment of Bioreactor Landfill Performance Using Coupled Thermo-Hydro-Bio-Mechanical Model
    typeJournal Paper
    journal volume148
    journal issue5
    journal titleJournal of Geotechnical and Geoenvironmental Engineering
    identifier doi10.1061/(ASCE)GT.1943-5606.0002773
    journal fristpage04022023
    journal lastpage04022023-14
    page14
    treeJournal of Geotechnical and Geoenvironmental Engineering:;2022:;Volume ( 148 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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