Fatigue life modelling under constant amplitude loading using adaptive neuro - fuzzy (ANFIS) application

M. Abdul Razzaq, Ahmad Kamal Ariffin Mohd Ihsan, Ahmed Al-Shafie, Shahrum Abdullah, Zainuddin Sajuri, N. A. Kadhim

Research output: Contribution to journalArticle

Abstract

This work illustrates the using ANFIS model for predicting the fatigue life fatigue and crack growth rate (FCGR).The main purpose of this work is to consider a new crack propagation criterion based on prediction experimental tests on three point-bend (TPB) specimens, which allow predicting the fatigue life and FCG rate using ANFIS and FIS. The benefit of the proposed method is to estimate the initial FCGR with the number of cycle's relationship for case study. The aim of this work is to propose a novel architecture called a simply ANFIS, which can serve as a basis for constructing a set of fuzzy if-then a system with appropriate membership functions to generate the stipulated input-output pairs. The results achieved from the developed ANFIS system show a good matching with the experimental results when tested on ASTM A533 alloy.

Original languageEnglish
Pages (from-to)1194-1204
Number of pages11
JournalAustralian Journal of Basic and Applied Sciences
Volume5
Issue number8
Publication statusPublished - Aug 2011

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Fatigue of materials
Crack propagation
Membership functions

Keywords

  • Adaptive neuro-fuzzy inference system (ANFIS)
  • Constant amplitude loading
  • Fatigue crack growth rate
  • Fuzzy inference system (FIS)

ASJC Scopus subject areas

  • General

Cite this

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title = "Fatigue life modelling under constant amplitude loading using adaptive neuro - fuzzy (ANFIS) application",
abstract = "This work illustrates the using ANFIS model for predicting the fatigue life fatigue and crack growth rate (FCGR).The main purpose of this work is to consider a new crack propagation criterion based on prediction experimental tests on three point-bend (TPB) specimens, which allow predicting the fatigue life and FCG rate using ANFIS and FIS. The benefit of the proposed method is to estimate the initial FCGR with the number of cycle's relationship for case study. The aim of this work is to propose a novel architecture called a simply ANFIS, which can serve as a basis for constructing a set of fuzzy if-then a system with appropriate membership functions to generate the stipulated input-output pairs. The results achieved from the developed ANFIS system show a good matching with the experimental results when tested on ASTM A533 alloy.",
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AU - Al-Shafie, Ahmed

AU - Abdullah, Shahrum

AU - Sajuri, Zainuddin

AU - Kadhim, N. A.

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