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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional de Colombia
2014
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| Online Access: | https://www.redalyc.org/articulo.oa?id=49632758014 |
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| _version_ | 1866817129379004416 |
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| author | Jesús Daniel Villalba-Morales |
| author_facet | Jesús Daniel Villalba-Morales |
| contents | Assessing the performance of a differential evolution algorithm in structural damage detection by varying the objective function Jesús Daniel Villalba-Morales José Elias Laier Ingeniería optimization metaheuristics Damage detection dynamic parameters differential evolution Structural damage detection has become an important research to pic in certain segments of the engineering community. These methodologies occasionally formulate an optimization problem by defining an objective function based on dynamic parameters, wi th metaheuristics used to find the solution. In this study, damage localization and quantification is performed by an Adaptive Di fferential Evolution algorithm, which solves the associated optimization p roblem. Furthermore, this paper looks at the proposed methodolo gy’s performance when using different functions based on natural fre quencies, mode shapes, modal flexibilities, modal strain energi es and the residual force vector. Simple and multiple damage scenarios are numerically imposed on truss structures to assess the performa nce of the proposed methodology. Results show that damage scenarios can be reliably determined by using the analyzed objective functions. However, the methodology does not perform well when the objecti ve function based on natural frequencies and modal strain energ ies is employed. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49632758014 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.188 Vol.81 |
| format | Artículo científico |
| id | redalyc_49632758014 |
| language | en |
| publishDate | 2014 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Assessing the performance of a differential evolution algorithm in structural damage detection by varying the objective function Jesús Daniel Villalba-Morales Ingeniería optimization metaheuristics Damage detection dynamic parameters differential evolution Assessing the performance of a differential evolution algorithm in structural damage detection by varying the objective function Jesús Daniel Villalba-Morales José Elias Laier Ingeniería optimization metaheuristics Damage detection dynamic parameters differential evolution Structural damage detection has become an important research to pic in certain segments of the engineering community. These methodologies occasionally formulate an optimization problem by defining an objective function based on dynamic parameters, wi th metaheuristics used to find the solution. In this study, damage localization and quantification is performed by an Adaptive Di fferential Evolution algorithm, which solves the associated optimization p roblem. Furthermore, this paper looks at the proposed methodolo gy’s performance when using different functions based on natural fre quencies, mode shapes, modal flexibilities, modal strain energi es and the residual force vector. Simple and multiple damage scenarios are numerically imposed on truss structures to assess the performa nce of the proposed methodology. Results show that damage scenarios can be reliably determined by using the analyzed objective functions. However, the methodology does not perform well when the objecti ve function based on natural frequencies and modal strain energ ies is employed. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49632758014 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.188 Vol.81 |
| title | Assessing the performance of a differential evolution algorithm in structural damage detection by varying the objective function |
| topic | Ingeniería optimization metaheuristics Damage detection dynamic parameters differential evolution |
| url | https://www.redalyc.org/articulo.oa?id=49632758014 |