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Updating models of finite elements by modal operational analysis and genetic algorithms. Application to architectural heritage built

Authors :
Universidad de Sevilla. Departamento de Estructuras de Edificación e Ingeniería del Terreno
Universidad de Sevilla. Departamento de Construcciones Arquitectónicas II (ETSIE)
Universidad de Sevilla. TEP245: Ingeniería de las Estructuras
Universidad de Sevilla. TEP114: Tecnología Arquitectónica
Universidad de Sevilla. TEP198: Materiales y Construcción
Chaves, Estefanía A.
Pachón García, Pablo
Compán Cardiel, Víctor Jesús
Baeza Álvarez, Juan Ramón
Universidad de Sevilla. Departamento de Estructuras de Edificación e Ingeniería del Terreno
Universidad de Sevilla. Departamento de Construcciones Arquitectónicas II (ETSIE)
Universidad de Sevilla. TEP245: Ingeniería de las Estructuras
Universidad de Sevilla. TEP114: Tecnología Arquitectónica
Universidad de Sevilla. TEP198: Materiales y Construcción
Chaves, Estefanía A.
Pachón García, Pablo
Compán Cardiel, Víctor Jesús
Baeza Álvarez, Juan Ramón
Publication Year :
2017

Abstract

The use of Operational Modal Analysis is establishing as an acceptable tool to estimate the dynamic properties of heritage buildings as a non‐destructive technique. Through its application, mechanical properties of structural elements, as stiffness or mass, can be obtained with great accuracy. The information obtained can be used to update finite element models, however this process is complicated due to presently it is made manually. This work wants to develop a technique which expects improve the effort and the time invert in this process. The genetic algorithms are going to be used to update tow finite element models of tow patrimonial buildings, the Pavilion of Charles V and the San Jeronimo Monastery both located in Seville, in which variables like elasticity module or boundary conditions are going to be updating in order to have a real behaviour model to carry out the structural assessment of the buildings.

Details

Database :
OAIster
Notes :
Spanish
Publication Type :
Electronic Resource
Accession number :
edsoai.on1423464699
Document Type :
Electronic Resource