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- Title
A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021).
- Authors
Ghannadi, Parsa; Kourehli, Seyed Sina; Mirjalili, Seyedali
- Abstract
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.
- Subjects
STRUCTURAL health monitoring; SIMULATED annealing; PARTICLE swarm optimization; SENSOR placement; INVERSE problems; FINITE element method
- Publication
Fracture & Structural Integrity / Frattura ed Integrità Strutturale, 2023, Issue 64, p51
- ISSN
1971-8993
- Publication type
Article
- DOI
10.3221/IGF-ESIS.64.04