Computational Technology Resources - CCC

G. Panagiotis Salachoris¹, E. Giordano¹, A. Ferrante², M. Schiavoni², F. Bianconi1 and F. Clementi¹

¹Dept. of Civil and Building Engineering, and Architecture, Polytechnic University of Marche, Ancona, Italy
²ILaboratoire de Mécanique et Génie Civil (LMGC), CNRS, University of Montpellier, France

doi:10.4203/ccc.3.8.3

G. Panagiotis Salachoris, E. Giordano, A. Ferrante, M. Schiavoni, F. Bianconi, F. Clementi, "Digital Twin Application for Cultural Heritage Structures via Genetic Algorithms", in B.H.V. Topping, J. Kruis, (Editors), "Proceedings of the Fourteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 3, Paper 8.3, 2022, doi:10.4203/ccc.3.8.3

Keywords: masonry towers, structural health monitoring, operational modal analysis, genetic algorithm, model updating, cultural heritage, digital twin, surrogate model.

Abstract

In this paper the actual dynamic behaviour of the civic Clock tower of Rotella, a little village in central Italy heavily damaged by the recent 2016 seismic sequence, is thoroughly investigated by means of a detailed numerical model built and calibrated using the experimental modal properties obtained through Ambient Vibration Tests. The goal is to update the uncertain parameters of the Finite Element Model (elastic moduli, mass densities, constraints, and boundary conditions) to minimize the discrepancy between experimental and numerical dynamic features. Due to the high nonlinear dependency of the objective function of this optimization problem on the afore-mentioned parameters, and the likely possibility to get trapped in local minima, a fully automated Finite Element Model Updating procedure based on genetic algorithms and global optimization is used, leading to the successful estimation of the uncertain parameters of the tower. The results allowed to create a reference digital replica of the current structural condition of the tower and to set the performance standards that will help to optimize the control of the structural integrity over time.

download the full-text of this paper (PDF, 8 pages, 539 Kb)

go to the previous paper
go to the next paper
return to the table of contents
return to the volume description

	Computational & Technology Resources an online resource for computational, engineering & technology publications
	not logged in - login
Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 3 PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: B.H.V. Topping and J. Kruis Paper 8.3 Digital Twin Application for Cultural Heritage Structures via Genetic Algorithms G. Panagiotis Salachoris¹, E. Giordano¹, A. Ferrante², M. Schiavoni², F. Bianconi1 and F. Clementi¹ ¹Dept. of Civil and Building Engineering, and Architecture, Polytechnic University of Marche, Ancona, Italy ²ILaboratoire de Mécanique et Génie Civil (LMGC), CNRS, University of Montpellier, France doi:10.4203/ccc.3.8.3 Full Bibliographic Reference for this paper G. Panagiotis Salachoris, E. Giordano, A. Ferrante, M. Schiavoni, F. Bianconi, F. Clementi, "Digital Twin Application for Cultural Heritage Structures via Genetic Algorithms", in B.H.V. Topping, J. Kruis, (Editors), "Proceedings of the Fourteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 3, Paper 8.3, 2022, doi:10.4203/ccc.3.8.3 Keywords: masonry towers, structural health monitoring, operational modal analysis, genetic algorithm, model updating, cultural heritage, digital twin, surrogate model. Abstract In this paper the actual dynamic behaviour of the civic Clock tower of Rotella, a little village in central Italy heavily damaged by the recent 2016 seismic sequence, is thoroughly investigated by means of a detailed numerical model built and calibrated using the experimental modal properties obtained through Ambient Vibration Tests. The goal is to update the uncertain parameters of the Finite Element Model (elastic moduli, mass densities, constraints, and boundary conditions) to minimize the discrepancy between experimental and numerical dynamic features. Due to the high nonlinear dependency of the objective function of this optimization problem on the afore-mentioned parameters, and the likely possibility to get trapped in local minima, a fully automated Finite Element Model Updating procedure based on genetic algorithms and global optimization is used, leading to the successful estimation of the uncertain parameters of the tower. The results allowed to create a reference digital replica of the current structural condition of the tower and to set the performance standards that will help to optimize the control of the structural integrity over time. download the full-text of this paper (PDF, 8 pages, 539 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
Back to top	©Civil-Comp Limited 2023 - terms & conditions