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GA-Based Optimization for Seismic Upgrading of RC Structures by Combining FRP Jackets and Steel Bracing
https://orcid.org/http://orcid.org/0000-0001-7159-1301
https://orcid.org/http://orcid.org/0000-0003-3572-7528
In the last decade, several applications of Artificial Intelligence (AI) techniques have been emerging in Civil Engineering. Among others, Genetic Algorithms (GAs) have revealed their potential in solving optimization problems in various fields of applied sciences, including the case of structural and seismic engineering.
This paper presents the most recent developments of a GA-based numerical procedure intended at selecting the “optimal” seismic upgrading solution among those that can be obtained by possibly combining member-level and structure-level techniques. More specifically, the procedure is intended at selecting the “best” technically feasible and code compliant solution among those which can be figured out by combining FRP jacketing of RC columns (as a member-level technique) and the introduction of steel bracings (as a structure-level technique). In the current implementation, the “best” combination is defined in terms of lower initial costs including demolition and reconstruction operations of the non-structural parts concerned with the realization of both member- and structure-level techniques, the direct cost of materials and workman force and (last, but not least) the cost of a possible upgrading of foundations.
After summarizing the main algorithmic aspects which the procedure is based upon, the paper shows some recent improvements obtained in terms of computational efficiency by considering appropriate solutions of the formulation of the main GA operators, like local search, mutation, crossover and selection.
GA-Based Optimization for Seismic Upgrading of RC Structures by Combining FRP Jackets and Steel Bracing
https://orcid.org/http://orcid.org/0000-0001-7159-1301
https://orcid.org/http://orcid.org/0000-0003-3572-7528
In the last decade, several applications of Artificial Intelligence (AI) techniques have been emerging in Civil Engineering. Among others, Genetic Algorithms (GAs) have revealed their potential in solving optimization problems in various fields of applied sciences, including the case of structural and seismic engineering.
This paper presents the most recent developments of a GA-based numerical procedure intended at selecting the “optimal” seismic upgrading solution among those that can be obtained by possibly combining member-level and structure-level techniques. More specifically, the procedure is intended at selecting the “best” technically feasible and code compliant solution among those which can be figured out by combining FRP jacketing of RC columns (as a member-level technique) and the introduction of steel bracings (as a structure-level technique). In the current implementation, the “best” combination is defined in terms of lower initial costs including demolition and reconstruction operations of the non-structural parts concerned with the realization of both member- and structure-level techniques, the direct cost of materials and workman force and (last, but not least) the cost of a possible upgrading of foundations.
After summarizing the main algorithmic aspects which the procedure is based upon, the paper shows some recent improvements obtained in terms of computational efficiency by considering appropriate solutions of the formulation of the main GA operators, like local search, mutation, crossover and selection.
GA-Based Optimization for Seismic Upgrading of RC Structures by Combining FRP Jackets and Steel Bracing
https://orcid.org/http://orcid.org/0000-0001-7159-1301
https://orcid.org/http://orcid.org/0000-0003-3572-7528
In the last decade, several applications of Artificial Intelligence (AI) techniques have been emerging in Civil Engineering. Among others, Genetic Algorithms (GAs) have revealed their potential in solving optimization problems in various fields of applied sciences, including the case of structural and seismic engineering.
This paper presents the most recent developments of a GA-based numerical procedure intended at selecting the “optimal” seismic upgrading solution among those that can be obtained by possibly combining member-level and structure-level techniques. More specifically, the procedure is intended at selecting the “best” technically feasible and code compliant solution among those which can be figured out by combining FRP jacketing of RC columns (as a member-level technique) and the introduction of steel bracings (as a structure-level technique). In the current implementation, the “best” combination is defined in terms of lower initial costs including demolition and reconstruction operations of the non-structural parts concerned with the realization of both member- and structure-level techniques, the direct cost of materials and workman force and (last, but not least) the cost of a possible upgrading of foundations.
After summarizing the main algorithmic aspects which the procedure is based upon, the paper shows some recent improvements obtained in terms of computational efficiency by considering appropriate solutions of the formulation of the main GA operators, like local search, mutation, crossover and selection.
GA-Based Optimization for Seismic Upgrading of RC Structures by Combining FRP Jackets and Steel Bracing
Lecture Notes in Civil Engineering
Ilki, Alper (editor) / Çavunt, Derya (editor) / Çavunt, Yavuz Selim (editor) / Nigro, Francesco (author) / Martinelli, Enzo (author)
International Symposium of the International Federation for Structural Concrete ; 2023 ; Istanbul, Türkiye
2023-06-03
8 pages
Article/Chapter (Book)
Electronic Resource
English
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