Study on Fracture Prediction for Advanced High Strength Steels
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- Sato Kentaro
- JFE スチール(株)
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- Iwai Takahiro
- トヨタ車体(株)
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- Takada Kenji
- (株)本田技術研究所
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- Niii Naoki
- いすゞ自動車(株)
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- Sakamoto Masafumi
- いすゞ自動車(株)
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- Nishi Ryu
- トヨタ自動車東日本(株)
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- Fukui Kiyoyuki
- 新日鐵住金(株)
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- Yokoi Tatsuo
- 新日鐵住金(株)
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- Nishimura Ryuichi
- 新日鐵住金(株)
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- Ikeda Koutaro
- ダイハツ工業(株)
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- Tokunaga Takayuki
- 富士重工業(株)
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- Nishiura Yuko
- 伊藤忠テクノソリューションズ(株)
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- Shanou Shinichirou
- 伊藤忠テクノソリューションズ(株)
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- MA Ninshu
- (株)JSOL
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- Nagasaka Kei
- スズキ(株)
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- Nishimura Ritsu
- トヨタテクニカルディベロップメント(株)
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- Takeda Riki
- 日産自動車(株)
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- Kojima Kousuke
- マツダ(株)
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- Omiya Masaki
- 慶應義塾大学
Bibliographic Information
- Other Title
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- 超ハイテン材の破断に対する予測技術の研究
- -応力三軸度破断クライテリオン同定のための単純引張試験方法とFEM 手法の提案-
- -Proposal for Determination of Stress Triaxiality Criterion by Using Simple Tensile Tests and FEM Method-
Description
An experimental method and specimens were proposed in order to determine a triaxiality-dependent fracture criterion of advanced high strength steels in the crash simulation of automotive bodies. Some crash tests and simulation results indicated the fracture occurred near the edge or ridge area of the body parts where the stress states are between uni-axial and plane strain conditions. In order to evaluate the fractures and their producing strain states, several types of simple tensile specimens were designed and the local strains during tensile test were measured with a digital image grid method (DIGM). To compute the stress triaxiality and fracture strain, FEM simulation models for several types of tensile specimen with three classes of advanced high strength steels were developed. The relation between fracture strain and stress triaxiality was obtained. The effects of material strength, element types and mesh size on both the stress triaxiality and fracture strain were investigated.
Journal
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- Transactions of Society of Automotive Engineers of Japan
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Transactions of Society of Automotive Engineers of Japan 45 (6), 1099-1104, 2014
Society of Automotive Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204613905408
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- NII Article ID
- 130006319515
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- ISSN
- 18830811
- 02878321
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed