J-R curve prediction of pre-strained stainless steel 316 material using Fe damage analysis method

Jun Min Seo, Ji Soo Kim, Yun Jae Kim

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

Abstract

In this study, a method to predict J-R curve of SUS316 material using FE damage analysis is proposed. As experimental data, tensile and fracture toughness test results of cold worked SUS316 are used. The damage model used in this study is multi-axial fracture strain model and the model is determined by simulating the tensile and fracture toughness test according to the procedure in R6 code [1]. A pre-strain constant is newly introduced to consider pre-strain damage caused by the pre-strain, and the damage for various degrees of pre-strain are calculated. As a result, the predicted J-R curves using FE damage model show good agreement with the experimental data.

Original languageEnglish
Title of host publicationMaterials and Fabrication
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791851678
DOIs
Publication statusPublished - 2018 Jan 1
Externally publishedYes
EventASME 2018 Pressure Vessels and Piping Conference, PVP 2018 - Prague, Czech Republic
Duration: 2018 Jul 152018 Jul 20

Publication series

NameAmerican Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP
Volume6A-2018
ISSN (Print)0277-027X

Conference

ConferenceASME 2018 Pressure Vessels and Piping Conference, PVP 2018
CountryCzech Republic
CityPrague
Period18/7/1518/7/20

Fingerprint

Stainless steel
Fracture toughness

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

Seo, J. M., Kim, J. S., & Kim, Y. J. (2018). J-R curve prediction of pre-strained stainless steel 316 material using Fe damage analysis method. In Materials and Fabrication (American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP; Vol. 6A-2018). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/PVP201884627

J-R curve prediction of pre-strained stainless steel 316 material using Fe damage analysis method. / Seo, Jun Min; Kim, Ji Soo; Kim, Yun Jae.

Materials and Fabrication. American Society of Mechanical Engineers (ASME), 2018. (American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP; Vol. 6A-2018).

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

Seo, JM, Kim, JS & Kim, YJ 2018, J-R curve prediction of pre-strained stainless steel 316 material using Fe damage analysis method. in Materials and Fabrication. American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP, vol. 6A-2018, American Society of Mechanical Engineers (ASME), ASME 2018 Pressure Vessels and Piping Conference, PVP 2018, Prague, Czech Republic, 18/7/15. https://doi.org/10.1115/PVP201884627
Seo JM, Kim JS, Kim YJ. J-R curve prediction of pre-strained stainless steel 316 material using Fe damage analysis method. In Materials and Fabrication. American Society of Mechanical Engineers (ASME). 2018. (American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP). https://doi.org/10.1115/PVP201884627
Seo, Jun Min ; Kim, Ji Soo ; Kim, Yun Jae. / J-R curve prediction of pre-strained stainless steel 316 material using Fe damage analysis method. Materials and Fabrication. American Society of Mechanical Engineers (ASME), 2018. (American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP).
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