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Updated: Sep 13, 2025

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography
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Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

Published on: September 29, 2019

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使用物理信息的神经网络对颗粒状土壤进行热力学一致的建模.

Nazanin Irani1, Mohammad Salimi2, Torsten Wichtmann2

  • 1Chair of Soil Mechanics, Foundation Engineering, and Environmental Geotechnics, Ruhr-University Bochum, Bochum, Germany. nazanin.irani@rub.de.

Scientific reports
|July 28, 2025
PubMed
概括

本研究引入了使用地质技术和物理信息神经网络 (GINN) 的颗粒土壤的新型构成模型. GINN模型确保了热力学一致性,并准确地预测了土壤的行为,优于现有的模型.

关键词:
构成模型的建构模型.节能节能节能节能节能吉恩 (Ginn) 的意思是说.基于物理学的神经网络.热力学定律 热力学定律 热力学定律

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