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    Calibration of Mesoscopic Parameters for Lunar Soil Using a Machine Learning–Based Discrete Element Method

    Source: Journal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 001::page 04025110-1
    Author:
    Wu, Peng
    ,
    Chen, Jian
    ,
    Huang, Juehao
    ,
    Tian, Kaiwei
    ,
    Tian, Ning
    ,
    Zhou, Ningxi
    DOI: 10.1061/JAEEEZ.ASENG-6267
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAccurate calibration of the mesoscopic parameters of lunar soil is essential for effectively simulating and analyzing lunar engineering problems using the discrete element method (DEM). However, conventional trial-and-error approaches are often ...
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      Calibration of Mesoscopic Parameters for Lunar Soil Using a Machine Learning–Based Discrete Element Method

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314147
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    contributor authorWu, Peng
    contributor authorChen, Jian
    contributor authorHuang, Juehao
    contributor authorTian, Kaiwei
    contributor authorTian, Ning
    contributor authorZhou, Ningxi
    date accessioned2026-08-20T21:13:40Z
    date available2026-08-20T21:13:40Z
    date copyright2025/10/03
    date issued2026
    identifier otherJAEEEZ.ASENG-6267.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314147
    description abstractAbstractAccurate calibration of the mesoscopic parameters of lunar soil is essential for effectively simulating and analyzing lunar engineering problems using the discrete element method (DEM). However, conventional trial-and-error approaches are often ...
    publisherAmerican Society of Civil Engineers
    titleCalibration of Mesoscopic Parameters for Lunar Soil Using a Machine Learning–Based Discrete Element Method
    typeJournal Article
    journal volume39
    journal issue1
    journal titleJournal of Aerospace Engineering
    identifier doi10.1061/JAEEEZ.ASENG-6267
    journal fristpage04025110-1
    journal lastpage04025110-15
    page15
    treeJournal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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