Selecting the objective function during the inverse identification of the parameters of a material model of concrete
Selecting the correct objective function is the critical precondition for a successful optimization task. The validity of this condition is also required when optimization algorithms are needed for the inverse identification of the unknown parameters of nonlinear material models of concrete, where e...
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| Format: | Article |
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Gruppo Italiano Frattura
2017-01-01
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| Series: | Fracture and Structural Integrity |
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| Online Access: | http://www.gruppofrattura.it/pdf/rivista/numero39/numero_39_art_2.pdf |
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| author | F. Hokes J. Kala |
| author_facet | F. Hokes J. Kala |
| author_sort | F. Hokes |
| collection | DOAJ |
| description | Selecting the correct objective function is the critical precondition for a successful optimization task. The validity of this condition is also required when optimization algorithms are needed for the inverse identification of the unknown parameters of nonlinear material models of concrete, where experimentally measured load-displacement curves can be conveniently applied. In such cases, the objective function expressions can be formulated as the difference between the functional values of the curves or via comparing the characteristic features, which comprise the area under the curve and also the maximum functional value. The proposed article brings a study of the influence of the different formulations of the objectives functions to achieving optimum in the inverse analysis using genetic algorithm. The numerical part of the study was performed in the ANSYS computational system with use of multiPlas library of elasto-plastic material models from which the model based on formulations of Menetrey and Willam was chosen. |
| format | Article |
| id | doaj-art-c8c77e1c26e1465bb67ea7562d41abc1 |
| institution | Kabale University |
| issn | 1971-8993 1971-8993 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-c8c77e1c26e1465bb67ea7562d41abc12025-01-03T00:27:23ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89931971-89932017-01-01113971610.3221/IGF-ESIS.39.02Selecting the objective function during the inverse identification of the parameters of a material model of concreteF. Hokes0J. Kala1Faculty of Civil Engineering, Brno University of Technology, Veveri 331/95 Brno 60200Faculty of Civil Engineering, Brno University of Technology, Veveri 331/95 Brno 60200Selecting the correct objective function is the critical precondition for a successful optimization task. The validity of this condition is also required when optimization algorithms are needed for the inverse identification of the unknown parameters of nonlinear material models of concrete, where experimentally measured load-displacement curves can be conveniently applied. In such cases, the objective function expressions can be formulated as the difference between the functional values of the curves or via comparing the characteristic features, which comprise the area under the curve and also the maximum functional value. The proposed article brings a study of the influence of the different formulations of the objectives functions to achieving optimum in the inverse analysis using genetic algorithm. The numerical part of the study was performed in the ANSYS computational system with use of multiPlas library of elasto-plastic material models from which the model based on formulations of Menetrey and Willam was chosen.http://www.gruppofrattura.it/pdf/rivista/numero39/numero_39_art_2.pdfIdentificationObjective functionRMSEOptimization |
| spellingShingle | F. Hokes J. Kala Selecting the objective function during the inverse identification of the parameters of a material model of concrete Fracture and Structural Integrity Identification Objective function RMSE Optimization |
| title | Selecting the objective function during the inverse identification of the parameters of a material model of concrete |
| title_full | Selecting the objective function during the inverse identification of the parameters of a material model of concrete |
| title_fullStr | Selecting the objective function during the inverse identification of the parameters of a material model of concrete |
| title_full_unstemmed | Selecting the objective function during the inverse identification of the parameters of a material model of concrete |
| title_short | Selecting the objective function during the inverse identification of the parameters of a material model of concrete |
| title_sort | selecting the objective function during the inverse identification of the parameters of a material model of concrete |
| topic | Identification Objective function RMSE Optimization |
| url | http://www.gruppofrattura.it/pdf/rivista/numero39/numero_39_art_2.pdf |
| work_keys_str_mv | AT fhokes selectingtheobjectivefunctionduringtheinverseidentificationoftheparametersofamaterialmodelofconcrete AT jkala selectingtheobjectivefunctionduringtheinverseidentificationoftheparametersofamaterialmodelofconcrete |