A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021)

In recent years, many innovative optimization algorithms have been developed. These algorithms have been employed to solve structural damage detection problems as an inverse solution. However, traditional optimization methods such as particle swarm optimization, simulated annealing (SA), and geneti...

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Main Authors: Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili
Format: Article
Language:English
Published: Gruppo Italiano Frattura 2023-03-01
Series:Frattura ed Integrità Strutturale
Subjects:
Online Access:https://fracturae.com/index.php/fis/article/view/3851
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author Parsa Ghannadi
Seyed Sina Kourehli
Seyedali Mirjalili
author_facet Parsa Ghannadi
Seyed Sina Kourehli
Seyedali Mirjalili
author_sort Parsa Ghannadi
collection DOAJ
description In recent years, many innovative optimization algorithms have been developed. These algorithms have been employed to solve structural damage detection problems as an inverse solution. However, traditional optimization methods such as particle swarm optimization, simulated annealing (SA), and genetic algorithm are constantly employed to detect damages in the structures. This paper reviews the application of  SA in different disciplines of structural health monitoring, such as damage detection, finite element model updating, optimal sensor placement, and system identification. The methodologies, objectives, and results of publications conducted between 1995 and 2021 are analyzed. This paper also provides an in-depth discussion of different open questions and research directions in this area.
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spelling doaj.art-44d9d5a2eb4d48658103b331359dc95a2023-03-22T13:58:14ZengGruppo Italiano FratturaFrattura ed Integrità Strutturale1971-89932023-03-011764A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021)Parsa Ghannadi0Seyed Sina Kourehli1Seyedali Mirjalili2Department of Civil Engineering, Ahar Branch, Islamic Azad University, Ahar, IranDepartment of Civil Engineering, Azarbaijan Shahid Madani University, Tabriz, IranCentre for Artificial Intelligence Research and Optimisation, Torrens University, Adelaide, SA 5000, Australia Yonsei Frontier Lab, Yonsei University, Seoul, South Korea In recent years, many innovative optimization algorithms have been developed. These algorithms have been employed to solve structural damage detection problems as an inverse solution. However, traditional optimization methods such as particle swarm optimization, simulated annealing (SA), and genetic algorithm are constantly employed to detect damages in the structures. This paper reviews the application of  SA in different disciplines of structural health monitoring, such as damage detection, finite element model updating, optimal sensor placement, and system identification. The methodologies, objectives, and results of publications conducted between 1995 and 2021 are analyzed. This paper also provides an in-depth discussion of different open questions and research directions in this area. https://fracturae.com/index.php/fis/article/view/3851Simulated AnnealingInverse ProblemStructural Health MonitoringDamage Detection
spellingShingle Parsa Ghannadi
Seyed Sina Kourehli
Seyedali Mirjalili
A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021)
Frattura ed Integrità Strutturale
Simulated Annealing
Inverse Problem
Structural Health Monitoring
Damage Detection
title A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021)
title_full A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021)
title_fullStr A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021)
title_full_unstemmed A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021)
title_short A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021)
title_sort review of the application of the simulated annealing algorithm in structural health monitoring 1995 2021
topic Simulated Annealing
Inverse Problem
Structural Health Monitoring
Damage Detection
url https://fracturae.com/index.php/fis/article/view/3851
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