A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests
| Autor: | Francesco Clementi, Francesca Bianconi, Georgios Panagiotis Salachoris, Stefano Lenci |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Calibration (statistics)
Computer science 0211 other engineering and technologies 020101 civil engineering 02 engineering and technology lcsh:Chemical technology Biochemistry Article 0201 civil engineering Analytical Chemistry 021105 building & construction Genetic algorithm Automatic gain control lcsh:TP1-1185 Ambient vibration Electrical and Electronic Engineering Instrumentation model updating dynamic identification calibration Atomic and Molecular Physics and Optics Finite element method Identification (information) monitoring Modal operation modal analysis Structural health monitoring Algorithm Subspace topology masonry structures |
| Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 20 Issue 11 Sensors, Vol 20, Iss 3315, p 3315 (2020) |
| ISSN: | 1424-8220 |
| Popis: | 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&rsquo 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. |
| Databáze: | OpenAIRE |
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