고강도 강재의 비탄성 거동을 모사하기 위한 복합경화모델 파라미터 결정Determination of Combined Hardening Model Parameters to Simulate the Inelastic Behavior of High-Strength Steels
- Other Titles
- Determination of Combined Hardening Model Parameters to Simulate the Inelastic Behavior of High-Strength Steels
- Authors
- 조은선; 조진우; 한상환
- Issue Date
- Nov-2023
- Publisher
- 한국지진공학회
- Keywords
- High strength steel; Combined hardening model; Constitutive model parameters; Particle swarm optimization; Low cycle fatigue
- Citation
- 한국지진공학회논문집, v.27, no.6, pp.275 - 281
- Indexed
- KCI
- Journal Title
- 한국지진공학회논문집
- Volume
- 27
- Number
- 6
- Start Page
- 275
- End Page
- 281
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/192116
- DOI
- 10.5000/EESK.2023.27.6.275
- ISSN
- 1226-525X
- Abstract
- The demand for high-strength steel is rising due to its economic efficiency. Low-cycle fatigue (LCF) tests have been conducted to investigate the nonlinear behaviors of high-strength steel. Accurate material models must be used to obtain reliable results on seismic performance evaluation using numerical analyses. This study uses the combined hardening model to simulate the LCF behavior of high-strength steel. However, it is challenging and complex to determine material model parameters for specific high-strength steel because a highly nonlinear equation is used in the model, and several parameters need to be resolved. This study used the particle swarm algorithm (PSO) to determine the model parameters based on the LCF test data of HSA 650 steel. It is shown that the model with parameter values selected from the PSO accurately simulates the measured LCF curves.
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