A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests

The dynamic identification of the modal parameters of a structure, in order to gain control of its functionality under operating conditions, is currently under discussion from a scientific and technical point of views. The experimental observations obtained through structural health monitoring (SHM)...
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Gespeichert in:

Autor*in:	Francesca Bianconi [verfasserIn] Georgios Panagiotis Salachoris [verfasserIn] Francesco Clementi [verfasserIn] Stefano Lenci [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	monitoring masonry structures operation modal analysis dynamic identification model updating calibration

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 20(2020), 11, p 3315
Übergeordnetes Werk:	volume:20 ; year:2020 ; number:11, p 3315

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DOI / URN:	10.3390/s20113315

Katalog-ID:	DOAJ013348019

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language	English
source	In Sensors 20(2020), 11, p 3315 volume:20 year:2020 number:11, p 3315
sourceStr	In Sensors 20(2020), 11, p 3315 volume:20 year:2020 number:11, p 3315
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	monitoring masonry structures operation modal analysis dynamic identification model updating calibration Chemical technology
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container_title	Sensors
authorswithroles_txt_mv	Francesca Bianconi @@aut@@ Georgios Panagiotis Salachoris @@aut@@ Francesco Clementi @@aut@@ Stefano Lenci @@aut@@
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callnumber-first	T - Technology
author	Francesca Bianconi
spellingShingle	Francesca Bianconi misc TP1-1185 misc monitoring misc masonry structures misc operation modal analysis misc dynamic identification misc model updating misc calibration misc Chemical technology A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests
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topic_title	TP1-1185 A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests monitoring masonry structures operation modal analysis dynamic identification model updating calibration
topic	misc TP1-1185 misc monitoring misc masonry structures misc operation modal analysis misc dynamic identification misc model updating misc calibration misc Chemical technology
topic_unstemmed	misc TP1-1185 misc monitoring misc masonry structures misc operation modal analysis misc dynamic identification misc model updating misc calibration misc Chemical technology
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title	A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests
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title_full	A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests
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title_sort	genetic algorithm procedure for the automatic updating of fem based on ambient vibration tests
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title_auth	A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests
abstract	The dynamic identification of the modal parameters of a structure, in order to gain control of its functionality under operating conditions, is currently under discussion from a scientific and technical point of views. The experimental observations obtained through structural health monitoring (SHM) are a useful calibration reference of numerical models (NMs). In this paper, the procedures for the identification of modal parameters in historical bell towers using a stochastic subspace identification (SSI) algorithm are presented. Then, NMs are manually calibrated on the identification’s results. Finally, the applicability of a genetic algorithm for the automatic calibration of the elastic parameters is considered with the aim of searching for the properties of the autochthonous material, in order to reduce modelling error following the model assurance criterion (MAC). In this regard, several material values on the same model are examined to see how to approach the evolution and the distribution of these features, comparing the characterization proposed by the genetic algorithm with the results considered by the manual iterative procedure.
abstractGer	The dynamic identification of the modal parameters of a structure, in order to gain control of its functionality under operating conditions, is currently under discussion from a scientific and technical point of views. The experimental observations obtained through structural health monitoring (SHM) are a useful calibration reference of numerical models (NMs). In this paper, the procedures for the identification of modal parameters in historical bell towers using a stochastic subspace identification (SSI) algorithm are presented. Then, NMs are manually calibrated on the identification’s results. Finally, the applicability of a genetic algorithm for the automatic calibration of the elastic parameters is considered with the aim of searching for the properties of the autochthonous material, in order to reduce modelling error following the model assurance criterion (MAC). In this regard, several material values on the same model are examined to see how to approach the evolution and the distribution of these features, comparing the characterization proposed by the genetic algorithm with the results considered by the manual iterative procedure.
abstract_unstemmed	The dynamic identification of the modal parameters of a structure, in order to gain control of its functionality under operating conditions, is currently under discussion from a scientific and technical point of views. The experimental observations obtained through structural health monitoring (SHM) are a useful calibration reference of numerical models (NMs). In this paper, the procedures for the identification of modal parameters in historical bell towers using a stochastic subspace identification (SSI) algorithm are presented. Then, NMs are manually calibrated on the identification’s results. Finally, the applicability of a genetic algorithm for the automatic calibration of the elastic parameters is considered with the aim of searching for the properties of the autochthonous material, in order to reduce modelling error following the model assurance criterion (MAC). In this regard, several material values on the same model are examined to see how to approach the evolution and the distribution of these features, comparing the characterization proposed by the genetic algorithm with the results considered by the manual iterative procedure.
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title_short	A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests
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A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests

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