Performance Investigation of Metaheuristic Niched-Pareto Genetic Algorithm for Imperfection Assessment of Structures

Structures depending on the type of their application are subject to different types of loading, such as wind, earthquake and explosion loads. On the other hand, in order to increase the useful lifetime of the structures, optimal operating conditions must be provided. Inappropriate utilization, exce...

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Autores principales:	Milad Jahangiri, Behrouz Ahmadi Nedushan
Formato:	article
Lenguaje:	FA
Publicado:	Iranian Society of Structrual Engineering (ISSE) 2019
Materias:	metaheuristic algorithm imperfection assessment fem npga Bridge engineering TG1-470 Building construction TH1-9745
Acceso en línea:	https://doaj.org/article/2105a6fc89bf4aac95c39ff87dfcb8d1
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id	oai:doaj.org-article:2105a6fc89bf4aac95c39ff87dfcb8d1
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spelling	oai:doaj.org-article:2105a6fc89bf4aac95c39ff87dfcb8d12021-11-08T15:50:45ZPerformance Investigation of Metaheuristic Niched-Pareto Genetic Algorithm for Imperfection Assessment of Structures2476-39772538-261610.22065/jsce.2017.83982.1164https://doaj.org/article/2105a6fc89bf4aac95c39ff87dfcb8d12019-02-01T00:00:00Zhttps://www.jsce.ir/article_87079_094acb8a6eec6e45a6ed4a30d406922e.pdfhttps://doaj.org/toc/2476-3977https://doaj.org/toc/2538-2616Structures depending on the type of their application are subject to different types of loading, such as wind, earthquake and explosion loads. On the other hand, in order to increase the useful lifetime of the structures, optimal operating conditions must be provided. Inappropriate utilization, excessive loading, changes in structural stiffness due to the material imperfection will cause the structure to come out of its design conditions and leads to unsafe structure. Therefore, on time assessment of imperfection for retrofitting and rehabilitation in order to increase the useful lifetime of the structure is very important. This article presents a novel and robust approach for assessment of imperfections in the structure using the concepts of vibration analysis and finite element method. A multi-objective Niched-Pareto Genetic Algorithm was used for computation of geometric position and intensity of imperfection in a steel continuous beam structure as well as a cantilever beam. The results of the imperfection assessment in continuous steel beam demonstrate that the proposed method has great potential in localization and quantification of imperfection in the multi-stage scenario. In addition, the results of this study for cantilever beam were compared with the same experimental results reported in the literature. These results demonstrated that the computational error in the proposed method was less than 0.06, while the error of similar experimental results has been reported as 0.3. Finally, the results of this research, demonstrate that the metaheuristic Niched-Pareto Genetic Algorithm performs very well and therefore this algorithm is recommended as a robust and practical approach for imperfection assessment of structures.Milad JahangiriBehrouz Ahmadi NedushanIranian Society of Structrual Engineering (ISSE)articlemetaheuristicalgorithmimperfectionassessmentfemnpgaBridge engineeringTG1-470Building constructionTH1-9745FAJournal of Structural and Construction Engineering, Vol 5, Iss 4, Pp 179-194 (2019)
institution	DOAJ
collection	DOAJ
language	FA
topic	metaheuristic algorithm imperfection assessment fem npga Bridge engineering TG1-470 Building construction TH1-9745
spellingShingle	metaheuristic algorithm imperfection assessment fem npga Bridge engineering TG1-470 Building construction TH1-9745 Milad Jahangiri Behrouz Ahmadi Nedushan Performance Investigation of Metaheuristic Niched-Pareto Genetic Algorithm for Imperfection Assessment of Structures
description	Structures depending on the type of their application are subject to different types of loading, such as wind, earthquake and explosion loads. On the other hand, in order to increase the useful lifetime of the structures, optimal operating conditions must be provided. Inappropriate utilization, excessive loading, changes in structural stiffness due to the material imperfection will cause the structure to come out of its design conditions and leads to unsafe structure. Therefore, on time assessment of imperfection for retrofitting and rehabilitation in order to increase the useful lifetime of the structure is very important. This article presents a novel and robust approach for assessment of imperfections in the structure using the concepts of vibration analysis and finite element method. A multi-objective Niched-Pareto Genetic Algorithm was used for computation of geometric position and intensity of imperfection in a steel continuous beam structure as well as a cantilever beam. The results of the imperfection assessment in continuous steel beam demonstrate that the proposed method has great potential in localization and quantification of imperfection in the multi-stage scenario. In addition, the results of this study for cantilever beam were compared with the same experimental results reported in the literature. These results demonstrated that the computational error in the proposed method was less than 0.06, while the error of similar experimental results has been reported as 0.3. Finally, the results of this research, demonstrate that the metaheuristic Niched-Pareto Genetic Algorithm performs very well and therefore this algorithm is recommended as a robust and practical approach for imperfection assessment of structures.
format	article
author	Milad Jahangiri Behrouz Ahmadi Nedushan
author_facet	Milad Jahangiri Behrouz Ahmadi Nedushan
author_sort	Milad Jahangiri
title	Performance Investigation of Metaheuristic Niched-Pareto Genetic Algorithm for Imperfection Assessment of Structures
title_short	Performance Investigation of Metaheuristic Niched-Pareto Genetic Algorithm for Imperfection Assessment of Structures
title_full	Performance Investigation of Metaheuristic Niched-Pareto Genetic Algorithm for Imperfection Assessment of Structures
title_fullStr	Performance Investigation of Metaheuristic Niched-Pareto Genetic Algorithm for Imperfection Assessment of Structures
title_full_unstemmed	Performance Investigation of Metaheuristic Niched-Pareto Genetic Algorithm for Imperfection Assessment of Structures
title_sort	performance investigation of metaheuristic niched-pareto genetic algorithm for imperfection assessment of structures
publisher	Iranian Society of Structrual Engineering (ISSE)
publishDate	2019
url	https://doaj.org/article/2105a6fc89bf4aac95c39ff87dfcb8d1
work_keys_str_mv	AT miladjahangiri performanceinvestigationofmetaheuristicnichedparetogeneticalgorithmforimperfectionassessmentofstructures AT behrouzahmadinedushan performanceinvestigationofmetaheuristicnichedparetogeneticalgorithmforimperfectionassessmentofstructures
_version_	1718441642299490304

Performance Investigation of Metaheuristic Niched-Pareto Genetic Algorithm for Imperfection Assessment of Structures

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