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 ScienceD rect Available online at www.sciencedirect.com ScienceDirect

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Procedia Structural Integrity 44 (2023) 2128–2135

XIX ANIDIS Conference, Seismic Engineering in Italy DETECT-AGING blind prediction contest: a benchmark for structural health monitoring of masonry buildings N. Buratti a* , S. Cattari b , G. Lignola c , A. Meoni d , F. Parisi c , F. Ubertini d , G. Virgulto a XIX ANIDIS Conference, Seismic Engineering in Italy DETECT-AGING blind prediction contest: a benchmark for structural health monitoring of masonry buildings N. Buratti a* , S. Cattari b , G. Lignola c , A. Meoni d , F. Parisi c , F. Ubertini d , G. Virgulto a

a DICAM - University of Bologna, Viale del Risorgimento 2, Bologna 40136, Italy , b DICCA - University of Genova, Via Montallegro 1, Genova 16145, Italy c DIST - University of Napoli, Via Claudio 21, Napoli 80125, Italy d DICA - University of Perugia, Via G. Duranti 93, Perugia 06125, Italy , a DICAM - University of Bologna, Viale del Risorgimento 2, Bologna 40136, Italy , b DICCA - University f Genova, Via Montallegro 1, Gen va 161 5, Italy c DIST - University of Napoli, i Claudio 21, Napoli 80125, Italy d DICA - University of Perugia, Via G. Duranti 93, Perugia 06125, Italy ,

© 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. DETECT-AGING is a research project of relevant national interest that was funded by the Italian Ministry of University and Research (MUR) through the PRIN 2017 programme. The project started in September 2019 and involves the universities of Bologna, Genova, Napoli Federico II, and Perugia. The main goal of the project is to develop a new analytical-instrumental approach aimed at the quantitative assessment of the effects of aging and material degradation on structural safety of cultural heritage, with special focus on masonry structures. Based on a combined use of structural models and health monitoring systems, indications and operational tools will be provided for the identification and quantification of structural damage, supporting the management of built cultural heritage. To this purpose, a two-storey masonry building, having a single room with a vault at the first floor and a timber roof, was built with the aim of being monitored and progressively and will be damaged during the project. It is equipped with a hybrid SHM system managed by the University of Perugia, which is based on both vibration and strain measurements. The present paper illustrates the main features of the case-study building and presents the results of the experimental program aimed at characterizing the mechanical properties of masonry the materials used. The final part of the paper presents a blind prediction contest based on prediction of modal features of the building in different damaged configurations. © 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: Masonry buildings, Structural health monitoring, Aging, Degradation Abstract The installation of monitoring systems on buildings allows analyzing variations in structural parameters over time, creating room for detection f da age. Structural Health Mon toring (SHM) s stems have the potential to support p o-active risk m nagement, wher structural interv ntions are planned if specific thresholds related to target erformance losses are achie d. DETECT-AGING is a research project of rel vant nationa int rest that was funded by the Italian Ministry of University and Research (MUR) through the PRIN 2017 progr mme. The project s arted in Sept m er 2019 and involves the u ies of Bologna, Genova, Napoli F derico II, and Perugia. The main goal of he proj c is to develop a new analytical-inst um ntal approach aimed t the quantitative assessment of the effects of aging and material degradation on structur l safety of cultur heritage, w th special foc s on masonry tructures. Bas d on a combined use of structural models a d heal h monitoring systems, ind c tions and operati nal tools will be provid d for the identification and quantification f structural damage, supporting the management of built cultural heritage. To this purp se, a two-storey masonry building, having a single roo with a vault at first floor a d a timber roof, was built with the aim f being monitored nd progress vely nd will be damaged during the project. It is equippe w th a hybrid SHM system managed y the University of Perugia, which is based on both vibration and strain measurements. The present paper illustrates the main features of th case-study building and presents the results of the experimental program aimed at characterizing the mechanical prop r ies of masonry the materials use . The final part of the pap r p esents a blind pred ction contest based on pr diction of modal features of the building in d fferent amaged configurations. © 2022 The Auth rs. Pu lished 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 responsibility of h scientific committe of the XIX ANIDIS C nfere ce, Seismic Engineering in Italy Keywords: Masonry buildings, Structural health monitoring, Aging, Degradation Abstract The installation of monitoring systems on buildings allows analyzing variations in structural parameters over time, creating room for detection of damage. Structural Health Monitoring (SHM) systems have the potential to support pro-active risk management, where structural interventions are planned if specific thresholds related to target performance losses are achieved.

Corresponding author. E-mail address: nicola.buratti@unibo.it Corresponding author. E-mail address: nic la.buratti@unibo.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.2023.01.272