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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MDPI AG
2020-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/11/3315 |
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| author | Francesca Bianconi Georgios Panagiotis Salachoris Francesco Clementi Stefano Lenci |
| author_facet | Francesca Bianconi Georgios Panagiotis Salachoris Francesco Clementi Stefano Lenci |
| author_sort | Francesca Bianconi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T19:14:54Z |
| format | Article |
| id | doaj.art-4fe3de28394f4e2a8656424ae7f4412d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T19:14:54Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-4fe3de28394f4e2a8656424ae7f4412d2023-11-20T03:28:15ZengMDPI AGSensors1424-82202020-06-012011331510.3390/s20113315A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration TestsFrancesca Bianconi0Georgios Panagiotis Salachoris1Francesco Clementi2Stefano Lenci3Department of Civil and Building Engineering, and Architecture, Polytechnic University of Marche, Via Brecce Bianche n.12, 60131 Ancona, ItalyDepartment of Civil and Building Engineering, and Architecture, Polytechnic University of Marche, Via Brecce Bianche n.12, 60131 Ancona, ItalyDepartment of Civil and Building Engineering, and Architecture, Polytechnic University of Marche, Via Brecce Bianche n.12, 60131 Ancona, ItalyDepartment of Civil and Building Engineering, and Architecture, Polytechnic University of Marche, Via Brecce Bianche n.12, 60131 Ancona, ItalyThe 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.https://www.mdpi.com/1424-8220/20/11/3315monitoringmasonry structuresoperation modal analysisdynamic identificationmodel updatingcalibration |
| spellingShingle | Francesca Bianconi Georgios Panagiotis Salachoris Francesco Clementi Stefano Lenci A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests Sensors monitoring masonry structures operation modal analysis dynamic identification model updating calibration |
| title | A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests |
| title_full | A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests |
| title_fullStr | A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests |
| title_full_unstemmed | A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests |
| title_short | A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests |
| title_sort | genetic algorithm procedure for the automatic updating of fem based on ambient vibration tests |
| topic | monitoring masonry structures operation modal analysis dynamic identification model updating calibration |
| url | https://www.mdpi.com/1424-8220/20/11/3315 |
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