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 Sci nceDire t Available online at www.sciencedirect.com ScienceDirect

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

Procedia Structural Integrity 44 (2023) 1808–1815

© 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. Once built up the database, an empirical predictive model, known in literature and already used for the evaluation of potential post-earthquake scenarios to cultural heritage, is applied to school buildings located into the seismic crater of the Marche region, by estimating the parameters of the model through inference techniques. The probabilistic model applied, relates a measure of the ground motion intensity to an overall damage index, continuous in the range [0,1]. Moreover, if one integrates the partial information related to damaged buildings often provided by the post-earthquake surveys, with the data related to the undamaged and/or collapsed structures, the model can provide a full risk assessment procedure. Finally, fragility curves are also derived, to make it possible the use of the research outcomes in risk frameworks based on a discrete description of the consequences. © 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 damage; school buildings; fragility functions; empirical predictive model. Abstract The 2016 seismic sequence that struck Central Italy, with its three mainshocks and numerous aftershocks, caused widespread damages to building h ritage. Among th buildings that suffered damages, schools are considered relevant tructur s from multiple p ints of view. Educational institutes, n eed, host child n and young people du ing the r t aining years in facilities that are oft n ld and r alize wi hout recent safety Standards becomi g, therefore, non-resilient, nor robust structures owards multipl natural hazards. In this pape , a database containing information regarding the geolocation of individual buildings, no. of floors, the floor surface, the construction period, the structural type and the potential presence f landscape or hydrogeological c nstraints, has been realiz d with referenc t the schools of the Marche region, by merging different sourc s of informati n. In addition, the database also collects informati n r garding bserved damages a d recorded seismic intensiti to schools during the 2016 Centr l It ly earthquake. Once built up the database, an mpirical predictive model, known in literature and already used for the evaluation of potential post-earthq ake scenario to cultural heritag , is applied to sch ol buildings locate into the seismic crat r of the Marche region, by estimating the par meters of he model through inf rence techniq es. The probabilistic model applied, elates a measure of the ground motion intensity to an overall damage index, continuous in the range [0,1]. Moreover, if one int grates the par ial information related to damaged buildings often provided by the post-earthqu ke surveys, with th data related to th undam ged a d/or collapsed structures, the model can provide a full risk asses men procedure. Finally, fragility curves are also derived, to make it possible the use of the research outcomes in risk f amework based on a discrete description of the consequences. © 2022 The Authors. Publis 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 u der re ponsibility of scientific committe of the XIX ANIDIS C nference, Seismic Engineering in Italy Keywords: Seismic damage; school buildings; fragility functions; empirical predictive model. XIX ANIDIS Conference, Seismic Engineering in Italy Observed damage and empirical predictive model of the school building heritage of the Marche region Laura Gioiella a *, Michele Morici a , Andrea Dall’Asta a a University of Camerino, School of Architecture and Design, Viale della Rimembranza 3, 63100 Ascoli Piceno, Italy Abstract The 2016 seismic sequence that struck Central Italy, with its three mainshocks and numerous aftershocks, caused widespread damages to building heritage. Among the buildings that suffered damages, schools are considered relevant structures from multiple points of view. Educational institutes, indeed, host children and young people during their training years in facilities that are often old and realized without recent safety Standards becoming, therefore, non-resilient, nor robust structures towards multiple natural hazards. In this paper, a database containing information regarding the geolocation of individual buildings, no. of floors, the floor surface, the construction period, the structural type and the potential presence of landscape or hydrogeological constraints, has been realized with reference to the schools of the Marche region, by merging different sources of information. In addition, the database also collects information regarding observed damages and recorded seismic intensities to schools during the 2016 Central Italy earthquake. XIX ANIDIS Conference, Seismic Engineering in Italy Observed damage and empirical predictive model of the school building heritage of the Marche region Laura Gioiella a *, Michele Morici a , Andrea Dall’Asta a a University of Camerino, School of Architecture and Design, Viale della Rimembranza 3, 63100 Ascoli Piceno, Italy

* Corresponding author. Tel.: +39 0737 424258; fax: +39 0737 404272. E-mail address: laura.gioiella@unicam.it * Corresponding author. Tel.: +39 0737 424258; fax: +39 0737 404272. E-mail address: laura.gioiella@unicam.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.2023.01.231