A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis

Structural finite-element analysis (FEA) has been widely used to study the biomechanics of human tissues and organs, as well as tissue-medical device interactions, and treatment strategies. However, patient-specific FEA models usually require complex procedures to set up and long computing times to...

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Veröffentlicht in:	Journal of the Royal Society interface Jg. 15; H. 138
Hauptverfasser:	Liang, Liang, Liu, Minliang, Martin, Caitlin, Sun, Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England 01.01.2018
Schlagworte:	deep learning finite-element analysis neural network stress analysis
ISSN:	1742-5662, 1742-5662
Online-Zugang:	Weitere Angaben
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