Autotuning of Isotropic Hardening Constitutive Models on Real Steel Buckling Data with Finite Element Based Multistart Global Optimisation on Parallel Computers
An automatic framework for tuning plastic constitutive models is proposed. It is based on multistart global optimisation method, where the objective function is provided by the results of multiple elastoplastic finite element analyses, executed concurrently. Wrapper scripts were developed for fully...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2017/6132106 |
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| _version_ | 1832555946607378432 |
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| author | Anton Shterenlikht Mohammad M. Kashani Nicholas A. Alexander Gethin Williams Adam J. Crewe |
| author_facet | Anton Shterenlikht Mohammad M. Kashani Nicholas A. Alexander Gethin Williams Adam J. Crewe |
| author_sort | Anton Shterenlikht |
| collection | DOAJ |
| description | An automatic framework for tuning plastic constitutive models is proposed. It is based on multistart global optimisation method, where the objective function is provided by the results of multiple elastoplastic finite element analyses, executed concurrently. Wrapper scripts were developed for fully automatic preprocessing, including model and mesh generation, analysis, and postprocessing. The framework is applied to an isotropic power hardening plasticity using real load/displacement data from multiple steel buckling tests. M. J. D. Powell’s BOBYQA constrained optimisation package was used for local optimisation. It is shown that using the real data presents multiple problems to the optimisation process because (1) the objective function can be discontinuous, yet (2) relatively flat around multiple local minima, with (3) similar values of the objective function for different local minima. As a consequence the estimate of the global minimum is sensitive to the amount of experimental data and experimental noise. The framework includes the verification step, where the estimate of the global minimum is verified on a different geometry and loading. A tensile test was used for verification in this work. The speed of the method critically depends on the ability to effectively parallelise the finite element solver. Three levels of parallelisation were exploited in this work. The ultimate limitation was the availability of the finite element commercial solver license tokens. |
| format | Article |
| id | doaj-art-b3eb36cf2d92459b8a5faab113a07d49 |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-b3eb36cf2d92459b8a5faab113a07d492025-02-03T05:46:50ZengWileyModelling and Simulation in Engineering1687-55911687-56052017-01-01201710.1155/2017/61321066132106Autotuning of Isotropic Hardening Constitutive Models on Real Steel Buckling Data with Finite Element Based Multistart Global Optimisation on Parallel ComputersAnton Shterenlikht0Mohammad M. Kashani1Nicholas A. Alexander2Gethin Williams3Adam J. Crewe4Faculty of Engineering, The University of Bristol, Bristol BS8 1TR, UKFaculty of Engineering, The University of Bristol, Bristol BS8 1TR, UKFaculty of Engineering, The University of Bristol, Bristol BS8 1TR, UKAdvanced Computing Research Centre, The University of Bristol, Bristol BS8 1QU, UKFaculty of Engineering, The University of Bristol, Bristol BS8 1TR, UKAn automatic framework for tuning plastic constitutive models is proposed. It is based on multistart global optimisation method, where the objective function is provided by the results of multiple elastoplastic finite element analyses, executed concurrently. Wrapper scripts were developed for fully automatic preprocessing, including model and mesh generation, analysis, and postprocessing. The framework is applied to an isotropic power hardening plasticity using real load/displacement data from multiple steel buckling tests. M. J. D. Powell’s BOBYQA constrained optimisation package was used for local optimisation. It is shown that using the real data presents multiple problems to the optimisation process because (1) the objective function can be discontinuous, yet (2) relatively flat around multiple local minima, with (3) similar values of the objective function for different local minima. As a consequence the estimate of the global minimum is sensitive to the amount of experimental data and experimental noise. The framework includes the verification step, where the estimate of the global minimum is verified on a different geometry and loading. A tensile test was used for verification in this work. The speed of the method critically depends on the ability to effectively parallelise the finite element solver. Three levels of parallelisation were exploited in this work. The ultimate limitation was the availability of the finite element commercial solver license tokens.http://dx.doi.org/10.1155/2017/6132106 |
| spellingShingle | Anton Shterenlikht Mohammad M. Kashani Nicholas A. Alexander Gethin Williams Adam J. Crewe Autotuning of Isotropic Hardening Constitutive Models on Real Steel Buckling Data with Finite Element Based Multistart Global Optimisation on Parallel Computers Modelling and Simulation in Engineering |
| title | Autotuning of Isotropic Hardening Constitutive Models on Real Steel Buckling Data with Finite Element Based Multistart Global Optimisation on Parallel Computers |
| title_full | Autotuning of Isotropic Hardening Constitutive Models on Real Steel Buckling Data with Finite Element Based Multistart Global Optimisation on Parallel Computers |
| title_fullStr | Autotuning of Isotropic Hardening Constitutive Models on Real Steel Buckling Data with Finite Element Based Multistart Global Optimisation on Parallel Computers |
| title_full_unstemmed | Autotuning of Isotropic Hardening Constitutive Models on Real Steel Buckling Data with Finite Element Based Multistart Global Optimisation on Parallel Computers |
| title_short | Autotuning of Isotropic Hardening Constitutive Models on Real Steel Buckling Data with Finite Element Based Multistart Global Optimisation on Parallel Computers |
| title_sort | autotuning of isotropic hardening constitutive models on real steel buckling data with finite element based multistart global optimisation on parallel computers |
| url | http://dx.doi.org/10.1155/2017/6132106 |
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