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 | |
| 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 | Czech Republic |
| City | Prague |
| Period | 18/7/15 → 18/7/20 |
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ASJC Scopus subject areas
- Mechanical Engineering
Cite this
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
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TY - GEN
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.
UR - http://www.scopus.com/inward/record.url?scp=85056831965&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056831965&partnerID=8YFLogxK
U2 - 10.1115/PVP201884627
DO - 10.1115/PVP201884627
M3 - Conference contribution
AN - SCOPUS:85056831965
T3 - American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP
BT - Materials and Fabrication
PB - American Society of Mechanical Engineers (ASME)
ER -