A Novel Multi-objective Genetic Algorithms-Based Calculation of Hill’s Coefficients
Abstract The anisotropic coefficients of Hill’s yield criterion are determined through a novel genetic algorithms-based multi-objective optimization approach. The classical method of determining anisotropic coefficients is sensitive to the effective plastic strain. In the present procedure, that lim...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Hariharan, Krishnaswamy [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Anmerkung: |
© The Minerals, Metals & Materials Society and ASM International 2014 |
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| Übergeordnetes Werk: |
Enthalten in: Metallurgical and materials transactions / A - Springer US, 1994, 45(2014), 6 vom: 02. Apr., Seite 2704-2707 |
|---|---|
| Übergeordnetes Werk: |
volume:45 ; year:2014 ; number:6 ; day:02 ; month:04 ; pages:2704-2707 |
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| DOI / URN: |
10.1007/s11661-014-2274-5 |
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OLC2054054380 |
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| 520 | |a Abstract The anisotropic coefficients of Hill’s yield criterion are determined through a novel genetic algorithms-based multi-objective optimization approach. The classical method of determining anisotropic coefficients is sensitive to the effective plastic strain. In the present procedure, that limitation is overcome using a genetically evolved meta-model of the entire stress strain curve, obtained from uniaxial tension tests conducted in the rolling direction and transverse directions, and biaxial tension. Then, an effective strain that causes the least error in terms of two theoretically derived objective functions is chosen. The anisotropic constants evolved through genetic algorithms correlate very well with the classical results. This approach is expected to be successful for more complex constitutive equations as well. | ||
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10.1007/s11661-014-2274-5 doi (DE-627)OLC2054054380 (DE-He213)s11661-014-2274-5-p DE-627 ger DE-627 rakwb eng 670 530 VZ 19,1 ssgn Hariharan, Krishnaswamy verfasserin aut A Novel Multi-objective Genetic Algorithms-Based Calculation of Hill’s Coefficients 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Minerals, Metals & Materials Society and ASM International 2014 Abstract The anisotropic coefficients of Hill’s yield criterion are determined through a novel genetic algorithms-based multi-objective optimization approach. The classical method of determining anisotropic coefficients is sensitive to the effective plastic strain. In the present procedure, that limitation is overcome using a genetically evolved meta-model of the entire stress strain curve, obtained from uniaxial tension tests conducted in the rolling direction and transverse directions, and biaxial tension. Then, an effective strain that causes the least error in terms of two theoretically derived objective functions is chosen. The anisotropic constants evolved through genetic algorithms correlate very well with the classical results. This approach is expected to be successful for more complex constitutive equations as well. Pareto Front Yield Locus Plastic Work Optimum Pareto Front Effective Plastic Strain Chakraborti, Nirupam aut Barlat, Frédéric aut Lee, Myoung-Gyu aut Enthalten in Metallurgical and materials transactions / A Springer US, 1994 45(2014), 6 vom: 02. Apr., Seite 2704-2707 (DE-627)171342011 (DE-600)1179415-X (DE-576)038876930 1073-5623 nnns volume:45 year:2014 number:6 day:02 month:04 pages:2704-2707 https://doi.org/10.1007/s11661-014-2274-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_20 GBV_ILN_30 GBV_ILN_70 GBV_ILN_2027 GBV_ILN_4313 GBV_ILN_4319 GBV_ILN_4700 AR 45 2014 6 02 04 2704-2707 |
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A Novel Multi-objective Genetic Algorithms-Based Calculation of Hill’s Coefficients |
| abstract |
Abstract The anisotropic coefficients of Hill’s yield criterion are determined through a novel genetic algorithms-based multi-objective optimization approach. The classical method of determining anisotropic coefficients is sensitive to the effective plastic strain. In the present procedure, that limitation is overcome using a genetically evolved meta-model of the entire stress strain curve, obtained from uniaxial tension tests conducted in the rolling direction and transverse directions, and biaxial tension. Then, an effective strain that causes the least error in terms of two theoretically derived objective functions is chosen. The anisotropic constants evolved through genetic algorithms correlate very well with the classical results. This approach is expected to be successful for more complex constitutive equations as well. © The Minerals, Metals & Materials Society and ASM International 2014 |
| abstractGer |
Abstract The anisotropic coefficients of Hill’s yield criterion are determined through a novel genetic algorithms-based multi-objective optimization approach. The classical method of determining anisotropic coefficients is sensitive to the effective plastic strain. In the present procedure, that limitation is overcome using a genetically evolved meta-model of the entire stress strain curve, obtained from uniaxial tension tests conducted in the rolling direction and transverse directions, and biaxial tension. Then, an effective strain that causes the least error in terms of two theoretically derived objective functions is chosen. The anisotropic constants evolved through genetic algorithms correlate very well with the classical results. This approach is expected to be successful for more complex constitutive equations as well. © The Minerals, Metals & Materials Society and ASM International 2014 |
| abstract_unstemmed |
Abstract The anisotropic coefficients of Hill’s yield criterion are determined through a novel genetic algorithms-based multi-objective optimization approach. The classical method of determining anisotropic coefficients is sensitive to the effective plastic strain. In the present procedure, that limitation is overcome using a genetically evolved meta-model of the entire stress strain curve, obtained from uniaxial tension tests conducted in the rolling direction and transverse directions, and biaxial tension. Then, an effective strain that causes the least error in terms of two theoretically derived objective functions is chosen. The anisotropic constants evolved through genetic algorithms correlate very well with the classical results. This approach is expected to be successful for more complex constitutive equations as well. © The Minerals, Metals & Materials Society and ASM International 2014 |
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| container_issue |
6 |
| title_short |
A Novel Multi-objective Genetic Algorithms-Based Calculation of Hill’s Coefficients |
| url |
https://doi.org/10.1007/s11661-014-2274-5 |
| remote_bool |
false |
| author2 |
Chakraborti, Nirupam Barlat, Frédéric Lee, Myoung-Gyu |
| author2Str |
Chakraborti, Nirupam Barlat, Frédéric Lee, Myoung-Gyu |
| ppnlink |
171342011 |
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| doi_str |
10.1007/s11661-014-2274-5 |
| up_date |
2024-07-03T21:47:02.432Z |
| _version_ |
1803596042008002561 |
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