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

doi:10.1115/PVP201884627

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 proceeding › Conference 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 language	English
Title of host publication	Materials and Fabrication
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Electronic)	9780791851678
DOIs	https://doi.org/10.1115/PVP201884627
Publication status	Published - 2018 Jan 1
Externally published	Yes
Event	ASME 2018 Pressure Vessels and Piping Conference, PVP 2018 - Prague, Czech Republic Duration: 2018 Jul 15 → 2018 Jul 20

Publication series

Name	American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP
Volume	6A-2018
ISSN (Print)	0277-027X

Conference

Conference	ASME 2018 Pressure Vessels and Piping Conference, PVP 2018
Country/Territory	Czech Republic
City	Prague
Period	18/7/15 → 18/7/20

ASJC Scopus subject areas

Mechanical Engineering

Access to Document

10.1115/PVP201884627

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 proceeding › Conference 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

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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.",

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AB - 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.

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

Abstract

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Conference

ASJC Scopus subject areas

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