Quantification of the material ductility effect on notch fracture toughness using numerical damage analysis method

Eui Kyun Park, Gyo Geun Youn, Yun Jae Kim, Masayuki Kamaya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this study, the finite element (FE) damage analysis based on the multi-axial fracture strain model was applied to investigate the effect of the material ductility on fracture resistance of notched defect. (The fracture toughness is used only for a cracked specimen and the fracture resistance is used for notched specimens throughout the paper.) To obtain the material property with different ductility, the tensile and fracture toughness tests of the cold-worked SUS316 were used. The damage model was determined from comparing the experimental data with simulated FE analysis results. Then the FE analysis was applied to calculate the fracture resistance according to the notch radius in each material. It shows that the slope of initiation resistance according to the notch radius was related to the material ductility. To quantify this effect of ductility, the relationship between notch fracture resistance and material tensile properties was confirmed.

Original languageEnglish
Title of host publicationMaterials and Fabrication
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791883860
DOIs
Publication statusPublished - 2020
EventASME 2020 Pressure Vessels and Piping Conference, PVP 2020 - Virtual, Online
Duration: 2020 Aug 3 → …

Publication series

NameAmerican Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP
Volume6
ISSN (Print)0277-027X

Conference

ConferenceASME 2020 Pressure Vessels and Piping Conference, PVP 2020
CityVirtual, Online
Period20/8/3 → …

ASJC Scopus subject areas

  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Quantification of the material ductility effect on notch fracture toughness using numerical damage analysis method'. Together they form a unique fingerprint.

Cite this