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Genetic algorithms applied to nonlinear analysis for the identification of masonry structures collapse mechanisms

Carmelo Scuro, Nataliia Pinchuk, Anna Castellano, Francesco Demarco, Pierpaolo Antonio Fusaro and Aguinaldo Fraddosio

Vol. 12 (2024), No. 3, 233–261
Abstract

We investigate the promising capabilities of genetic algorithms (GA) for identifying collapse mechanisms in masonry buildings. This work deepens the knowledge of seismic behavior through the case study of the Padula palace, which is in the old town of Acri, in the province of Cosenza (Italy). The study of the structural behavior was performed by numerical modeling, developed by FaTaNext software, based on macroelements, and then by a nonlinear static analysis (pushover) by using Abaqus software. The obtained results were used in a second step for the determination and identification of the collapse mechanisms with the greatest probability of activation using genetic algorithms with Grasshopper. The validity of both methodologies is found in the satisfaction of the requirements set by the standards and in the actual ability to define plausible global behavior. An innovative procedure was proposed for the seismic evaluation, studying the possible modes of structural collapse with the aid of GA. This parametric method allows an effective collapse identification for the elevated structures that have greater fragility, allowing design attention to be focused on the elements characterized by a greater probability of collapse.

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Keywords
nonlinear analysis, masonry structures, collapse mechanisms, genetic algorithms
Mathematical Subject Classification
Primary: 58E17, 68W50, 90C90
Milestones
Received: 26 January 2024
Revised: 8 May 2024
Accepted: 20 June 2024
Published: 23 August 2024

Communicated by Emilio Barchiesi
Authors
Carmelo Scuro
Department of Physics
University of Calabria
Arcavacata di Rende
Italy
National Institute for Nuclear Physics
Associated Group of Cosenza
Arcavacata di Rende
Italy
Nataliia Pinchuk
Department of Building Structures
National University “Yuri Kondratyuk Poltava Polytechnic”
Poltava
Ukraine
Department of Architecture, Construction and Design
Polytechnic University of Bari
Bari
Italy
Anna Castellano
Department of Architecture, Construction and Design
Polytechnic University of Bari
Bari
Italy
Francesco Demarco
Department of Physics
University of Calabria
Arcavacata di Rende
Italy
Pierpaolo Antonio Fusaro
Department of Physics
University of Calabria
Arcavacata di Rende
Italy
Aguinaldo Fraddosio
Department of Architecture, Construction and Design
Polytechnic University of Bari
Bari
Italy