Prediction of Crack Propagation Rate and Stress Intensity Factor of Fatigue and Welded Specimen with a Two-Dimensional Finite Element Method

Yusuf Olanrewaju Busari, Ahmad Ariri, Yupiter H.P. Manurung, Darwin Sebayang, Martin Leitner, W. S. B. W. Zaini, M. A. B. M. Kamilzukairi, E. Celik

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper presents the fundamental investigation on crack propagation rate (CPR) and Stress Intensity Factor (SIF) for a typical fatigue and welded specimens which are Compact Tension (CT) and Single Edge Notch Tension (SENT) as well as Butt and longitudinal T-joint. The material data of austenitic stainless steel SS316L was used to observe crack propagation rate with different initial crack length and different tensile load was used for the fracture mechanics investigation. The geometry of the specimens was modelled by using open source software CASCA while Franc 2D was used for post processing based on Paris Erdogan Law with different crack increment steps. The analysis of crack propagation using fracture mechanics technique requires an accurate calculation of the stress intensity factor SIF and comparison of the critical strength of the material (KIC) was used to determine the critical crack length of the specimens. it can be concluded that open source finite element method software can be used for predicting of fatigue life on simplified geometry
Original languageEnglish
Article number012008
JournalIOP Conference Series: Materials Science and Engineering
Volume834
Issue number1
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event6th International Conference on Advances in Mechanical Engineering - Sabah, Malaysia
Duration: 14 Aug 201916 Aug 2019

ASJC Scopus subject areas

  • General Engineering
  • General Materials Science

Fingerprint

Dive into the research topics of 'Prediction of Crack Propagation Rate and Stress Intensity Factor of Fatigue and Welded Specimen with a Two-Dimensional Finite Element Method'. Together they form a unique fingerprint.

Cite this