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

dc.contributor.authorWu, Peng
dc.contributor.authorChen, Jian
dc.contributor.authorHuang, Juehao
dc.contributor.authorTian, Kaiwei
dc.contributor.authorTian, Ning
dc.contributor.authorZhou, Ningxi
dc.date.accessioned2026-08-20T21:13:40Z
dc.date.available2026-08-20T21:13:40Z
dc.date.copyright2025/10/03
dc.date.issued2026
dc.identifier.otherJAEEEZ.ASENG-6267.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314147
dc.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 ...
dc.publisherAmerican Society of Civil Engineers
dc.titleCalibration of Mesoscopic Parameters for Lunar Soil Using a Machine Learning–Based Discrete Element Method
dc.typeJournal Article
dc.journal.volume39
dc.journal.issue1
dc.journal.titleJournal of Aerospace Engineering
dc.identifier.doi10.1061/JAEEEZ.ASENG-6267
dc.journal.fristpage04025110-1
dc.journal.lastpage04025110-15
dc.page15
dc.treeJournal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 001
dc.contenttypeFulltext


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