Evaluation of the reliability of a cracked pipe under pressure and tension using artificial neural network and finite element analyses

Maurice Pendola; Eric Chatelet; P. Hornet

Conference papers

Evaluation of the reliability of a cracked pipe under pressure and tension using artificial neural network and finite element analyses

Maurice Pendola ¹ Eric Chatelet ² P. Hornet ³

1 phiMECA - phiMECA

2 M2S - Modélisation et Sûreté des Systèmes

ISTIT - Institut des Sciences et Technologies de l'Information de Troyes

3 EDF R&D - EDF R&D

Document type :

Conference papers

Domain :

Computer Science [cs] / Performance [cs.PF]

Complete list of metadata

https://hal-utt.archives-ouvertes.fr/hal-02563569
Contributor : Jean-Baptiste VU VAN Connect in order to contact the contributor
Submitted on : Tuesday, May 5, 2020 - 2:08:30 PM
Last modification on : Sunday, June 26, 2022 - 9:26:54 AM

Evaluation of the reliability of a cracked pipe under pressure and tension using artificial neural network and finite element analyses

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Evaluation of the reliability of a cracked pipe under pressure and tension using artificial neural network and finite element analyses

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