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Architecture & Urban Research Institute

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³í¹®¸í °í°­µµ °­ÀçÀÇ ºñź¼º °Åµ¿À» ¸ð»çÇϱâ À§ÇÑ º¹ÇÕ°æÈ­¸ðµ¨ ÆĶó¹ÌÅÍ °áÁ¤ / Determination of Combined Hardening Model Parameters to Simulate the Inelastic Behavior of High-Strength Steels
ÀúÀÚ¸í Á¶Àº¼±(Cho, EunSeon) ; Á¶Áø¿ì(Cho, Jin Woo) ; ÇÑ»óȯ(Han, Sang Whan)½Äº°ÀúÀÚ
¹ßÇà»ç Çѱ¹ÁöÁø°øÇÐȸ
¼ö·Ï»çÇ× Çѱ¹ÁöÁø°øÇÐȸ ³í¹®Áý, Vol.27 No.6(Åë±Ç 156È£) (2023-11)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(275) ÃÑÆäÀÌÁö(7)
ISSN 1226-525X
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ÁÖÁ¦¾î ; High strength steel; Combined hardening model; Constitutive model parameters; Particle swarm optimization; Low cycle fatigue
¿ä¾à2 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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DOI https://doi.org/10.5000/EESK.2023.27.6.275
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