DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Shin-Yeong | - |
dc.contributor.author | Kim, Jin-Hwan | - |
dc.contributor.author | Barlat, Frédéric | - |
dc.date.accessioned | 2021-06-01T03:59:04Z | - |
dc.date.available | 2021-06-01T03:59:04Z | - |
dc.date.created | 2021-03-03 | - |
dc.date.issued | 2020-12 | - |
dc.identifier.issn | 1757-899X | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/105375 | - |
dc.description.abstract | The homogeneous anisotropic hardening (HAH) model formulation, which is solely based on distortional plasticity, was improved recently. In this study, a robust coefficient identification scheme was developed for this updated model. Tension-compression tests were conducted on a mild steel sheet sample to assess the hardening behavior in the forward-reverse loading mode. An inverse identification procedure was employed to calibrate the coefficients of the model. The Nelder-Mead simplex and genetic optimization methods were investigated and the results regarding the accuracy of the calibration were compared. As a result, both optimization methods led to reasonable coefficients for the new model. | - |
dc.language | English | - |
dc.publisher | IOP Publishing | - |
dc.relation.isPartOf | IOP Conference Series: Materials Science and Engineering | - |
dc.title | Reverse-loading coefficients identification for updated homogeneous anisotropic hardening model | - |
dc.type | Article | - |
dc.identifier.doi | 10.1088/1757-899x/967/1/012014 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | IOP Conference Series: Materials Science and Engineering, v.967, pp.012014 | - |
dc.citation.startPage | 012014 | - |
dc.citation.title | IOP Conference Series: Materials Science and Engineering | - |
dc.citation.volume | 967 | - |
dc.contributor.affiliatedAuthor | Barlat, Frédéric | - |
dc.identifier.scopusid | 2-s2.0-85097157377 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scopus | - |
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