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Open AccessFeature PaperArticle

Stochastic Vulnerability Assessment of Masonry Structures: Concepts, Modeling and Restoration Aspects

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Computational Mechanics Laboratory, School of Pedagogical and Technological Education, Heraklion, 14121 Athens, Greece
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Laboratory of Materials Science and Engineering, School of Chemical Engineering, National Technical University of Athens, 15780 Athens, Greece
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Department of Structural Engineering, Malayer University, Malayer 65719-95863, Iran
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Department of Civil, Environmental, Aerospace and Materials Engineering (DICAM), University of Palermo, Viale delle Scienze, 90128 Palermo, Italy
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RISCO, Department of Civil Engineering, Polytechnic Institute of Leiria, 2411-901 Leiria, Portugal
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CONSTRUCT-LESE, Faculdade de Engenharia, Universidade do Porto, Departamento de Engenharia Civil, 4200-465 Porto, Portugal
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(2), 243; https://doi.org/10.3390/app9020243
Received: 27 October 2018 / Revised: 28 December 2018 / Accepted: 30 December 2018 / Published: 10 January 2019
(This article belongs to the Special Issue Soft Computing Techniques in Structural Engineering and Materials)
A methodology aiming to predict the vulnerability of masonry structures under seismic action is presented herein. Masonry structures, among which many are cultural heritage assets, present high vulnerability under earthquake. Reliable simulations of their response to seismic stresses are exceedingly difficult because of the complexity of the structural system and the anisotropic and brittle behavior of the masonry materials. Furthermore, the majority of the parameters involved in the problem such as the masonry material mechanical characteristics and earthquake loading characteristics have a stochastic-probabilistic nature. Within this framework, a detailed analytical methodological approach for assessing the seismic vulnerability of masonry historical and monumental structures is presented, taking into account the probabilistic nature of the input parameters by means of analytically determining fragility curves. The emerged methodology is presented in detail through application on theoretical and built cultural heritage real masonry structures. View Full-Text
Keywords: Artificial Neural Networks; damage index; failure criteria; fragility analysis; masonry structures; monuments; restoration mortars; seismic assessment; stochastic modeling Artificial Neural Networks; damage index; failure criteria; fragility analysis; masonry structures; monuments; restoration mortars; seismic assessment; stochastic modeling
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Asteris, P.G.; Moropoulou, A.; Skentou, A.D.; Apostolopoulou, M.; Mohebkhah, A.; Cavaleri, L.; Rodrigues, H.; Varum, H. Stochastic Vulnerability Assessment of Masonry Structures: Concepts, Modeling and Restoration Aspects. Appl. Sci. 2019, 9, 243.

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