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Keywords: artificial neural network
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Journal Articles

A Data-Driven Model to Predict Constitutive and Failure Behavior of Elastomers Considering the Strain Rate, Temperature, and Filler Ratio

Aref Ghaderi, Roozbeh Dargazany
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Research Papers
J. Appl. Mech. May 2023, 90(5): 051010.
Paper No: JAM-22-1374
https://doi.org/10.1115/1.4056705
Published Online: February 8, 2023
....2020.112955 [16] Liu , X. , Tian , S. , Tao , F. , and Yu , W. , 2021 , “ A Review of Artificial Neural Networks in the Constitutive Modeling of Composite Materials ,” Compos. B. Eng. , 224 , p. 109152 . 10.1016/j.compositesb.2021.109152 [17] Tang , J. , Chen , X...
View Articletitled, A Data-Driven Model to Predict Constitutive and Failure Behavior of Elastomers Considering the Strain Rate, Temperature, and Filler Ratio
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Topics: Artificial neural networks, Damage, Deformation, Elastomers, Engines, Fillers (Materials), Physics, Polymers, Rubber, Stress
Journal Articles

Learning Nonlinear Constitutive Laws Using Neural Network Models Based on Indirectly Measurable Data

Xin Liu, Fei Tao, Haodong Du, Wenbin Yu, Kailai Xu
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Research Papers
J. Appl. Mech. August 2020, 87(8): 081003.
Paper No: JAM-20-1097
https://doi.org/10.1115/1.4047036
Published Online: May 14, 2020
...Xin Liu; Fei Tao; Haodong Du; Wenbin Yu; Kailai Xu Artificial neural network (ANN) models are used to learn the nonlinear constitutive laws based on indirectly measurable data. The real input and output of the ANN model are derived from indirect data using a mechanical system, which is composed...
View Articletitled, Learning Nonlinear Constitutive Laws Using Neural Network Models Based on Indirectly Measurable Data
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Topics: Artificial neural networks, Constitutive equations, Damage