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Fatigue damage effect approach by artificial neural network
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Fatigue damage effect approach by artificial neural network
Jimenez-Martinez M., Alfaro-Ponce M.
URI:
http://repositorio.udlap.mx/xmlui/handle/123456789/13618
Date:
2019
Abstract:
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062325761&doi=10.1016%2fj.ijfatigue.2019.02.043&partnerID=40&md5=3c8e0991d912a75468fc3900c595cc42
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