Sensitivity-based virtual fields for the non-linear virtual fields method
Abstract The virtual fields method is an approach to inversely identify material parameters using full-field deformation data. In this manuscript, a new set of automatically-defined virtual fields for non-linear constitutive models has been proposed. These new sensitivity-based virtual fields reduce...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Marek, Aleksander [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2017 |
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| Übergeordnetes Werk: |
Enthalten in: Computational mechanics - Springer Berlin Heidelberg, 1986, 60(2017), 3 vom: 28. Apr., Seite 409-431 |
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| Übergeordnetes Werk: |
volume:60 ; year:2017 ; number:3 ; day:28 ; month:04 ; pages:409-431 |
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| DOI / URN: |
10.1007/s00466-017-1411-6 |
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OLC2054929352 |
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| 520 | |a Abstract The virtual fields method is an approach to inversely identify material parameters using full-field deformation data. In this manuscript, a new set of automatically-defined virtual fields for non-linear constitutive models has been proposed. These new sensitivity-based virtual fields reduce the influence of noise on the parameter identification. The sensitivity-based virtual fields were applied to a numerical example involving small strain plasticity; however, the general formulation derived for these virtual fields is applicable to any non-linear constitutive model. To quantify the improvement offered by these new virtual fields, they were compared with stiffness-based and manually defined virtual fields. The proposed sensitivity-based virtual fields were consistently able to identify plastic model parameters and outperform the stiffness-based and manually defined virtual fields when the data was corrupted by noise. | ||
| 650 | 4 | |a Virtual fields method | |
| 650 | 4 | |a Sensitivity-based virtual fields | |
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| 650 | 4 | |a Elasto-plastic | |
| 650 | 4 | |a Digital image correlation | |
| 700 | 1 | |a Davis, Frances M. |4 aut | |
| 700 | 1 | |a Pierron, Fabrice |4 aut | |
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10.1007/s00466-017-1411-6 doi (DE-627)OLC2054929352 (DE-He213)s00466-017-1411-6-p DE-627 ger DE-627 rakwb eng 530 004 VZ 11 ssgn Marek, Aleksander verfasserin (orcid)0000-0002-2254-3773 aut Sensitivity-based virtual fields for the non-linear virtual fields method 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2017 Abstract The virtual fields method is an approach to inversely identify material parameters using full-field deformation data. In this manuscript, a new set of automatically-defined virtual fields for non-linear constitutive models has been proposed. These new sensitivity-based virtual fields reduce the influence of noise on the parameter identification. The sensitivity-based virtual fields were applied to a numerical example involving small strain plasticity; however, the general formulation derived for these virtual fields is applicable to any non-linear constitutive model. To quantify the improvement offered by these new virtual fields, they were compared with stiffness-based and manually defined virtual fields. The proposed sensitivity-based virtual fields were consistently able to identify plastic model parameters and outperform the stiffness-based and manually defined virtual fields when the data was corrupted by noise. Virtual fields method Sensitivity-based virtual fields Inverse identification Full field measurement Elasto-plastic Digital image correlation Davis, Frances M. aut Pierron, Fabrice aut Enthalten in Computational mechanics Springer Berlin Heidelberg, 1986 60(2017), 3 vom: 28. Apr., Seite 409-431 (DE-627)130635170 (DE-600)799787-5 (DE-576)016140648 0178-7675 nnns volume:60 year:2017 number:3 day:28 month:04 pages:409-431 https://doi.org/10.1007/s00466-017-1411-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-MAT GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 GBV_ILN_4323 AR 60 2017 3 28 04 409-431 |
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10.1007/s00466-017-1411-6 doi (DE-627)OLC2054929352 (DE-He213)s00466-017-1411-6-p DE-627 ger DE-627 rakwb eng 530 004 VZ 11 ssgn Marek, Aleksander verfasserin (orcid)0000-0002-2254-3773 aut Sensitivity-based virtual fields for the non-linear virtual fields method 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2017 Abstract The virtual fields method is an approach to inversely identify material parameters using full-field deformation data. In this manuscript, a new set of automatically-defined virtual fields for non-linear constitutive models has been proposed. These new sensitivity-based virtual fields reduce the influence of noise on the parameter identification. The sensitivity-based virtual fields were applied to a numerical example involving small strain plasticity; however, the general formulation derived for these virtual fields is applicable to any non-linear constitutive model. To quantify the improvement offered by these new virtual fields, they were compared with stiffness-based and manually defined virtual fields. The proposed sensitivity-based virtual fields were consistently able to identify plastic model parameters and outperform the stiffness-based and manually defined virtual fields when the data was corrupted by noise. Virtual fields method Sensitivity-based virtual fields Inverse identification Full field measurement Elasto-plastic Digital image correlation Davis, Frances M. aut Pierron, Fabrice aut Enthalten in Computational mechanics Springer Berlin Heidelberg, 1986 60(2017), 3 vom: 28. Apr., Seite 409-431 (DE-627)130635170 (DE-600)799787-5 (DE-576)016140648 0178-7675 nnns volume:60 year:2017 number:3 day:28 month:04 pages:409-431 https://doi.org/10.1007/s00466-017-1411-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-MAT GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 GBV_ILN_4323 AR 60 2017 3 28 04 409-431 |
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10.1007/s00466-017-1411-6 doi (DE-627)OLC2054929352 (DE-He213)s00466-017-1411-6-p DE-627 ger DE-627 rakwb eng 530 004 VZ 11 ssgn Marek, Aleksander verfasserin (orcid)0000-0002-2254-3773 aut Sensitivity-based virtual fields for the non-linear virtual fields method 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2017 Abstract The virtual fields method is an approach to inversely identify material parameters using full-field deformation data. In this manuscript, a new set of automatically-defined virtual fields for non-linear constitutive models has been proposed. These new sensitivity-based virtual fields reduce the influence of noise on the parameter identification. The sensitivity-based virtual fields were applied to a numerical example involving small strain plasticity; however, the general formulation derived for these virtual fields is applicable to any non-linear constitutive model. To quantify the improvement offered by these new virtual fields, they were compared with stiffness-based and manually defined virtual fields. The proposed sensitivity-based virtual fields were consistently able to identify plastic model parameters and outperform the stiffness-based and manually defined virtual fields when the data was corrupted by noise. Virtual fields method Sensitivity-based virtual fields Inverse identification Full field measurement Elasto-plastic Digital image correlation Davis, Frances M. aut Pierron, Fabrice aut Enthalten in Computational mechanics Springer Berlin Heidelberg, 1986 60(2017), 3 vom: 28. Apr., Seite 409-431 (DE-627)130635170 (DE-600)799787-5 (DE-576)016140648 0178-7675 nnns volume:60 year:2017 number:3 day:28 month:04 pages:409-431 https://doi.org/10.1007/s00466-017-1411-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-MAT GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 GBV_ILN_4323 AR 60 2017 3 28 04 409-431 |
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10.1007/s00466-017-1411-6 doi (DE-627)OLC2054929352 (DE-He213)s00466-017-1411-6-p DE-627 ger DE-627 rakwb eng 530 004 VZ 11 ssgn Marek, Aleksander verfasserin (orcid)0000-0002-2254-3773 aut Sensitivity-based virtual fields for the non-linear virtual fields method 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2017 Abstract The virtual fields method is an approach to inversely identify material parameters using full-field deformation data. In this manuscript, a new set of automatically-defined virtual fields for non-linear constitutive models has been proposed. These new sensitivity-based virtual fields reduce the influence of noise on the parameter identification. The sensitivity-based virtual fields were applied to a numerical example involving small strain plasticity; however, the general formulation derived for these virtual fields is applicable to any non-linear constitutive model. To quantify the improvement offered by these new virtual fields, they were compared with stiffness-based and manually defined virtual fields. The proposed sensitivity-based virtual fields were consistently able to identify plastic model parameters and outperform the stiffness-based and manually defined virtual fields when the data was corrupted by noise. Virtual fields method Sensitivity-based virtual fields Inverse identification Full field measurement Elasto-plastic Digital image correlation Davis, Frances M. aut Pierron, Fabrice aut Enthalten in Computational mechanics Springer Berlin Heidelberg, 1986 60(2017), 3 vom: 28. Apr., Seite 409-431 (DE-627)130635170 (DE-600)799787-5 (DE-576)016140648 0178-7675 nnns volume:60 year:2017 number:3 day:28 month:04 pages:409-431 https://doi.org/10.1007/s00466-017-1411-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-MAT GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 GBV_ILN_4323 AR 60 2017 3 28 04 409-431 |
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10.1007/s00466-017-1411-6 doi (DE-627)OLC2054929352 (DE-He213)s00466-017-1411-6-p DE-627 ger DE-627 rakwb eng 530 004 VZ 11 ssgn Marek, Aleksander verfasserin (orcid)0000-0002-2254-3773 aut Sensitivity-based virtual fields for the non-linear virtual fields method 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2017 Abstract The virtual fields method is an approach to inversely identify material parameters using full-field deformation data. In this manuscript, a new set of automatically-defined virtual fields for non-linear constitutive models has been proposed. These new sensitivity-based virtual fields reduce the influence of noise on the parameter identification. The sensitivity-based virtual fields were applied to a numerical example involving small strain plasticity; however, the general formulation derived for these virtual fields is applicable to any non-linear constitutive model. To quantify the improvement offered by these new virtual fields, they were compared with stiffness-based and manually defined virtual fields. The proposed sensitivity-based virtual fields were consistently able to identify plastic model parameters and outperform the stiffness-based and manually defined virtual fields when the data was corrupted by noise. Virtual fields method Sensitivity-based virtual fields Inverse identification Full field measurement Elasto-plastic Digital image correlation Davis, Frances M. aut Pierron, Fabrice aut Enthalten in Computational mechanics Springer Berlin Heidelberg, 1986 60(2017), 3 vom: 28. Apr., Seite 409-431 (DE-627)130635170 (DE-600)799787-5 (DE-576)016140648 0178-7675 nnns volume:60 year:2017 number:3 day:28 month:04 pages:409-431 https://doi.org/10.1007/s00466-017-1411-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-MAT GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 GBV_ILN_4323 AR 60 2017 3 28 04 409-431 |
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Abstract The virtual fields method is an approach to inversely identify material parameters using full-field deformation data. In this manuscript, a new set of automatically-defined virtual fields for non-linear constitutive models has been proposed. These new sensitivity-based virtual fields reduce the influence of noise on the parameter identification. The sensitivity-based virtual fields were applied to a numerical example involving small strain plasticity; however, the general formulation derived for these virtual fields is applicable to any non-linear constitutive model. To quantify the improvement offered by these new virtual fields, they were compared with stiffness-based and manually defined virtual fields. The proposed sensitivity-based virtual fields were consistently able to identify plastic model parameters and outperform the stiffness-based and manually defined virtual fields when the data was corrupted by noise. © The Author(s) 2017 |
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Abstract The virtual fields method is an approach to inversely identify material parameters using full-field deformation data. In this manuscript, a new set of automatically-defined virtual fields for non-linear constitutive models has been proposed. These new sensitivity-based virtual fields reduce the influence of noise on the parameter identification. The sensitivity-based virtual fields were applied to a numerical example involving small strain plasticity; however, the general formulation derived for these virtual fields is applicable to any non-linear constitutive model. To quantify the improvement offered by these new virtual fields, they were compared with stiffness-based and manually defined virtual fields. The proposed sensitivity-based virtual fields were consistently able to identify plastic model parameters and outperform the stiffness-based and manually defined virtual fields when the data was corrupted by noise. © The Author(s) 2017 |
| abstract_unstemmed |
Abstract The virtual fields method is an approach to inversely identify material parameters using full-field deformation data. In this manuscript, a new set of automatically-defined virtual fields for non-linear constitutive models has been proposed. These new sensitivity-based virtual fields reduce the influence of noise on the parameter identification. The sensitivity-based virtual fields were applied to a numerical example involving small strain plasticity; however, the general formulation derived for these virtual fields is applicable to any non-linear constitutive model. To quantify the improvement offered by these new virtual fields, they were compared with stiffness-based and manually defined virtual fields. The proposed sensitivity-based virtual fields were consistently able to identify plastic model parameters and outperform the stiffness-based and manually defined virtual fields when the data was corrupted by noise. © The Author(s) 2017 |
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Sensitivity-based virtual fields for the non-linear virtual fields method |
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https://doi.org/10.1007/s00466-017-1411-6 |
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Davis, Frances M. Pierron, Fabrice |
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10.1007/s00466-017-1411-6 |
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