PSI - Issue 44

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

www.elsevier.com/locate/procedia

ScienceDirect

Procedia Structural Integrity 44 (2023) 1964–1971

© 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 paper presents a methodology to derive seismic vulnerability of existing reinforced concrete buildings by using mechanical models derived from data obtained by transfer learning technique. In detail, the methodology aims to exploit the combination of some structural building features obtained from the analysis of photographs within the VULMA framework and additional general information obtained from other sources, such as year of construction, localization and covered area. These data are joined and matched allowing to derive the input data for simulating an ideal mechanical model, which is elaborated and analyzed under seismic actions. The method is firstly presented in its general features and then applied to a couple of existing buildings, with the objective to derive seismic vulnerability. The results of the analyses show have highlighted that the methodology can be applied to define risk mitigation strategies in a focused area, relying on two automatization processes. © 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: Existing Buildings; Seismic Vulnerability; Mechanical Models; Transfer Learning. XIX ANIDIS Conference, Seismic Engineering in Italy Using transfer learning technique to define seismic vulnerability of existing buildings through mechanical models Sergio Ruggieri a* , Angelo Cardellicchio b , Giuseppina Uva a a Department DICATECh, Polytechnic University of Bari, Via Orabona, 4 – 70126, Italy b Institute for Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA), National Research Council of Italy, Via Amendola, 122 D/O, Bari, Italy * Correspondence: sergio.ruggieri@poliba.it

Nomenclature θ max

Maximum interstorey drift Compression strength of concrete

σ c σ s σ m

Tensile strength of steel

Compression strength of masonry

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.2023.01.251