Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials

被引：0

作者：

Fernández, Mauricio ^{[1
,2
]}

Fritzen, Felix ^{[3
]}

Weeger, Oliver ^{[1
]}

机构：

[1] Cyber-Physical Simulation, Technical University of Darmstadt, Darmstadt, Germany

[2] Multiscale and Data-Driven Material Modeling, ACCESS e.V., Aachen, Germany

[3] Data Analytics in Engineering, University of Stuttgart, Stuttgart, Germany

来源：

International Journal for Numerical Methods in Engineering | 2022年 / 123卷 / 02期

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D O I：

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学科分类号：

摘要：

Machine learning - Topology - Aspect ratio - Deformation - Elasticity - Anisotropy - Cytology - Neural networks - Cells - Metamaterials

引用

页码：577 / 609