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)
Volume	6A-2018
ISBN (Electronic)	9780791851678
DOIs	https://doi.org/10.1115/PVP201884627
Publication status	Published - 2018 Jan 1
Event	ASME 2018 Pressure Vessels and Piping Conference, PVP 2018 - Prague, Czech Republic Duration: 2018 Jul 15 → 2018 Jul 20

Other

Other	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

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10.1115/PVP201884627

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

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.",

author = "Seo, {Jun Min} and Kim, {Ji Soo} and Yun-Jae Kim",

year = "2018",

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doi = "10.1115/PVP201884627",

language = "English",

volume = "6A-2018",

booktitle = "Materials and Fabrication",

publisher = "American Society of Mechanical Engineers (ASME)",

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T1 - J-R curve prediction of pre-strained stainless steel 316 material using Fe damage analysis method

AU - Seo, Jun Min

AU - Kim, Ji Soo

AU - Kim, Yun-Jae

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

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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DO - 10.1115/PVP201884627

M3 - Conference contribution

AN - SCOPUS:85056831965

VL - 6A-2018

BT - Materials and Fabrication

PB - American Society of Mechanical Engineers (ASME)

T2 - ASME 2018 Pressure Vessels and Piping Conference, PVP 2018

Y2 - 15 July 2018 through 20 July 2018

ER -

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

Abstract

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