PSI - Issue 44

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

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

Procedia Structural Integrity 44 (2023) 307–314

© 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. Modern approaches for the assessment of seismic behavior of structures (i.e. PBEE) are often based on nonlinear dynamic analyses. In this respect, the selection of ground motion records is of paramount importance, because of the record-to-record variability of the structural response. In the past, selection of natural records was often performed based on the compatibility between the response spectra and a target spectrum, usually derived from a PSHA or a code spectrum. Spectral matching can be considered the most commonly proposed earthquake record selection, currently adopted by many seismic codes. The main problem of this approach is that the record-to-record variability can result excessive, obtaining a considerable scatter in the non-linear response. For these reasons, it is usually preferable to synthetize the seismic hazard properties by using a scalar or vector-valued Intensity Measure (IM). Nevertheless, the selection of efficient, sufficient and practical IMs leads to different approaches, without converging toward a unified approach. Consequently, aim of this paper is to propose a novel algorithm for records selection to employ in risk analysis, which is able to control the dispersion without resorting to the artificial scaling of the accelerograms and thus easily employed in three-dimensional structural analysis. It is based on the idea to control the record-to-record variability rather than to reduce it by scaling the accelerograms. The proposes methodology has been implemented in the software SCoReS and used for the risk assessment of a RC frame structures. © 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 fragility analysis. Artificial neural network; Features selection; Monte Carlo simulation XIX ANIDIS Conference, Seismic Engineering in Italy Scores: an algorithm for records selection to employ in seismic risk and resilience analysis Fabrizio Paolacci a* , Renato Giannini b , Phan Hoang Nam c , Daniele Corritore a , Gianluca Quinci a a Department of Engineering, Roma Tre Uniersity, Italy b Department of Architecture, Roma Tre University, Italy b Faculty of Road and Bridge Engineering, c Th Unive sity of Danang - University of Science and Technology, Da Nang, Viet am Abstract Modern approaches for the assessment of seismic behavior of structures (i.e. PBEE) are often based on nonlinear dynamic analyses. In this res ect, t selection of grou d mot on records s of pa amount mportance, b cause of the rec rd-to-record vari bility of the structural respons . In the past, selec of natural reco ds was often perform d based on the compatibility between the response spect a and a targe spectrum, usually derived from a PSHA or a code spectrum. Sp ctral matching can be consid r d most commonly proposed earthquake record s lection, currently ad pted by many seismi codes. The m in problem of t is approach is that the recor -to-record va iability can result excessive, b aining a considerable scatter in the no -linear response. For these reasons, it is usually preferable to synthetiz the seismic hazard properties by using a scalar or v ct r valued Intensity Measure (IM). Nevertheless, th selection of effici nt, sufficient and practical IMs leads to different appro ch s, without converging toward a unifi d approach. C sequ ntly, aim o th s paper is to propose a novel algorithm for rec rds select on to employ risk analysis, which is able to c trol the dispersi n without e orting to th rtificial scal ng of the a celerograms and thus eas ly employed in t ree-dimensi nal st uc ural analysis. It is bas d on the idea to control the record-to-record variability rather than to reduc it by scaling the accelerograms. The propose method logy has been implemented in the software SCoReS and used for th risk assessment of a RC frame structures. © 2022 The Authors. Publish d 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 t scientific committe of the XIX ANIDIS C nference, Seismic Engineering in Italy K ywords: Seismic fragility analysis. Artificial neural network; Features selection; Monte Carlo simulation XIX ANIDIS Conference, Seismic Engineering in Italy Scores: an algorithm for records selection to employ in seismic risk and resilience analysis Fabrizio Paolacci a* , Renato Giannini b , Phan Hoang Nam c , Daniele Corritore a , Gianluca Quinci a a Department of Engineering, Roma Tre Uniersity, Italy b Department of Architecture, Roma Tre University, Italy b Faculty of Road and Bridge Engineering, c The University of Danang - University of Science and Technology, Da Nang, Vietnam Abstract

* Corresponding author. Tel.: +39-06-5733-6418 E-mail address: fabrizio.paolacci@uniroma3.it * Corresponding author. Tel.: +39-06-5733-6418 E-mail address: fabrizio.paolacci@uniroma3.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 scientific committee of the XIX ANIDIS Conference, Seismic Engineering 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.2023.01.040