PSI - Issue 44

Available online at www.sciencedirect.com Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2022) 000–000 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2022) 000–000

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

ScienceDirect

Procedia Structural Integrity 44 (2023) 1712–1719

© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the XIX ANIDIS Conference, Seismic Engineering in Italy. Abstract The design of seismic retrofitting for existing reinforced concrete frame structures concerns the determination of the position and the arrangement of reinforcements. Currently, this design practice is mainly based on trial-and-error attempts and engineers’ experience, without a formal implementation of cost/performance optimization. Though, the implementation of this intervention is associated with significant costs, noticeable downtimes, and elevated invasiveness. This paper presents a new genetic algorithm-based framework for the optimization of two different retrofitting techniques (FRP column wrapping and concentric steel braces) that aims at minimizing costs considering indirectly the lessening of expected annual values. The feasibility of each tentative solution is controlled by the outcomes of static pushover analyses in the framework of the N2 method, achieved by a 3D fiber-section model implemented in OpenSees. Application of the framework in a realistic case study structure will show that the sustainability of retrofitting intervention is achievable by employing artificial intelligence aided structural design. © 2022 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license ( https://creativecommons.org/licenses/by-nc-nd/4.0 ) Peer-review under responsibility of the scientific committee of the XIX ANIDIS Conference, Seismic Engineering in Italy Keywords: Seismic retrofitting, structural optimization, expected annual loss, FRP, steel bracing. 1. Introduction One of the major issues that structural engineers face in the design of seismic retrofitting of existing structures regards the determination of the optimal position and arrangement of the intervention. The design of this kind of intervention is exclusively entrusted to the engineer’s intuition and experience, requiring several trial-and-error XIX ANIDIS Conference, Seismic Engineering in Italy A new genetic algorithm framework based on Expected Annual Loss for optimizing seismic retrofitting in reinforced concrete frame structures Antonio P. Sberna a *, Fabio Di Trapani a , Giuseppe C. Marano a a Politecnico di Torino – Department of Structural, Building and Geotechnical Engineering, Corso Duca degli Abruzzi 24, 10126, Turin, Italy Abstract The design of seismic retrofitting for existing reinforced concrete frame structures concerns the determination of the position and the arrangement of reinforcements. Currently, this design practice is mainly based on trial-and-error attempts and engineers’ experience, without a formal implementation of cost/performance optimization. Though, the implementation of this intervention is associated with significant costs, noticeable downtimes, and elevated invasiveness. This paper presents a new genetic algorithm-based framework for the optimization of two different retrofitting techniques (FRP column wrapping and concentric steel braces) that ai s at minimizing costs considering indirectly the lessening of expected annual values. The feasibility of each tentative solution is controlled by the outcomes of static pushover analyses in the framework of the N2 method, achieved by a 3D fiber-section model implemented in OpenSees. Application of the framework in a realistic case study structure will show that the sustainability of retrofitting intervention is achievable by employing artificial intelligence aided structural design. © 2022 The Authors. Published by ELSEVIER B.V. is is an open access article under the CC BY-NC-ND license ( https://creativecommons.org/licenses/by-nc-nd/4.0 ) r-review under responsibility of the scientific commit e of the XIX ANIDIS Conferen e, Seismic E gineering in Italy Keywords: Seismic retrofitting, structural optimization, expected annual loss, FRP, steel bracing. 1. Introduction One of the major issues that structural engineers face in the design of seismic retrofitting of existing structures regards the determination of the optimal position and arrangement of the intervention. The design of this kind of intervention is exclusively entrusted to the engineer’s intuition and experience, requiring several trial-and-error XIX ANIDIS Conference, Seismic Engineering in Italy A new genetic algorithm framework based on Expected Annual Loss for optimizing seismic retrofitting in reinforced concrete frame structures Antonio P. Sberna a *, Fabio Di Trapani a , Giuseppe C. Marano a a Politecnico di Torino – Department of Structural, Building and Geotechnical Engineering, Corso Duca degli Abruzzi 24, 10126, Turin, Italy

* Corresponding author. E-mail address: antonio.sberna@polito.it * Corresponding author. E-mail address: antonio.sberna@polito.it

2452-3216 © 2022 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the XIX ANIDIS Conference, Seismic Engineering in Italy 2452-3216 © 2022 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the sci ntific committee of the XIX ANIDIS Conference, Seismic Engin ering in Italy

2452-3216 © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the XIX ANIDIS Conference, Seismic Engineering in Italy. 10.1016/j.prostr.2023.01.219