Fatigue of steel specimens at low temperatures

Autor:	Tesar Alexander
Jazyk:	English<br />Serbian
Rok vydání:	2020
Předmět:	fatigue fetm-wave approach low temperature neural network parallel processing pseudo-force technique ultimate behaviour Engineering (General). Civil engineering (General) TA1-2040
Zdroj:	Građevinski Materijali i Konstrukcije, Vol 63, Iss 3, Pp 3-11 (2020)
Druh dokumentu:	article
ISSN:	2217-8139 2335-0229
Popis:	Fatigue behaviour of 3-D steel structural specimens at low temperatures was investigated in this paper. Simulation model adopting backpropagation neural network approach is used for the analysis. The updated Lagrange formulation of motion combined with pseudoforce technique in the FETM-wave approach was used for the treatment of non-linear problems. Each step of iteration approaches the solution of linear problem and the feasibility of parallel processing combined with backpropagation neural network is established. Numerical and experimental analysis is submitted in order to demonstrate the efficiency of the procedures suggested.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/d945c570bc974dce818b1e806ab69315 Zobrazit plný text záznamu View record in DOAJ