Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Short-Sequence Machine Learning Framework for Predicting Constitutive Relationships of Sand
https://orcid.org/0009-0008-1687-3320
https://orcid.org/0000-0002-5820-4394
https://orcid.org/0009-0008-0870-3460
https://orcid.org/0000-0002-4981-1176
https://orcid.org/0009-0006-5182-567X
Short-Sequence Machine Learning Framework for Predicting Constitutive Relationships of Sand
https://orcid.org/0009-0008-1687-3320
https://orcid.org/0000-0002-5820-4394
https://orcid.org/0009-0008-0870-3460
https://orcid.org/0000-0002-4981-1176
https://orcid.org/0009-0006-5182-567X
Short-Sequence Machine Learning Framework for Predicting Constitutive Relationships of Sand
https://orcid.org/0009-0008-1687-3320
https://orcid.org/0000-0002-5820-4394
https://orcid.org/0009-0008-0870-3460
https://orcid.org/0000-0002-4981-1176
https://orcid.org/0009-0006-5182-567X
Short-Sequence Machine Learning Framework for Predicting Constitutive Relationships of Sand
Geotech Geol Eng
Yao, Xiangchen (Autor:in) / Ma, Shuqi (Autor:in) / Li, Bo (Autor:in) / Liu, Honglin (Autor:in) / Bai, Jianbiao (Autor:in) / Bai, Ziyi (Autor:in)
01.02.2025
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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A constitutive framework for anisotropic sand including non-proportional loading
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Constitutive Model considering Sand Crushing
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