Neural networks with NARX structure for material lifetime assessment application

Mas Irfan P. Hidayat*, Puteri Sri Melor M. Yusoff, Wajan Berata

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

In the present paper, neural networks (NN) with non-linear auto-regressive exogenous inputs (NARX) structure is developed and further applied for material lifetime assessment application. Rational of the use of the NARX structure in the application was emphasized and linked to the concept of constant life diagram (CLD), the well known concept in fatigue of material analysis and design. Fatigue life assessment was then performed and realized as one-step ahead prediction with respect to each stress level corresponding to stress ratio values arranged in such a way that transition took place from a fatigue region to another one in the CLD. As a result, material lifetime assessment can be fashioned for a wide spectrum of loading in an efficient manner. The simulation results for different materials and loading situations are presented and discussed.

Original languageEnglish
Title of host publicationISCI 2011 - 2011 IEEE Symposium on Computers and Informatics
Pages273-278
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 IEEE Symposium on Computers and Informatics, ISCI 2011 - Kuala Lumpur, Malaysia
Duration: 20 Mar 201122 Mar 2011

Publication series

NameISCI 2011 - 2011 IEEE Symposium on Computers and Informatics

Conference

Conference2011 IEEE Symposium on Computers and Informatics, ISCI 2011
Country/TerritoryMalaysia
CityKuala Lumpur
Period20/03/1122/03/11

Keywords

  • CLD
  • Lifetime Assessment
  • NARX
  • Neural Networks

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