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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Vydané v:	Journal of the Royal Society interface Ročník 15; číslo 138
Hlavní autori:	Liang, Liang, Liu, Minliang, Martin, Caitlin, Sun, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England 01.01.2018
Predmet:	deep learning finite-element analysis neural network stress analysis
ISSN:	1742-5662, 1742-5662
On-line prístup:	Zistit podrobnosti o prístupe
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