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Comparative Study of Four Objective Functions for Bridge Damage Detection Using PSO Algorithm: Case of Two Bridges

Publish place: The 14th National Congress of Civil Engineering
Publish Year: 1403
Type: Conference paper
Language: English
View: 86

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Link to this Paper:
https://civilica.com/doc/2100297

Document National Code:

NCCE14_510

Index date: 16 October 2024

Comparative Study of Four Objective Functions for Bridge Damage Detection Using PSO Algorithm: Case of Two Bridges abstract

Structural health monitoring plays a critical role in ensuring the safety and longevity of bridges. In this study, the effectiveness of four prominent objective functions in detecting structural damage using the Particle Swarm Optimizer (PSO) algorithm was investigated and compared. Two bridges of varying complexity serve as case studies, and their structural health is assessed through simulated damage scenarios.

Comparative Study of Four Objective Functions for Bridge Damage Detection Using PSO Algorithm: Case of Two Bridges Keywords:

damage detection , structural health monitoring , Particle Swarm Optimizer (PSO) , objective function , metaheuristic algorithms , optimization.

Comparative Study of Four Objective Functions for Bridge Damage Detection Using PSO Algorithm: Case of Two Bridges authors

Gholamreza Ghodrati Amiri

Professor, Natural Disasters Prevention Research Center, School of Civil Engineering, IranUniversity of Science & Technology, Tehran, Iran.

Ali Shabani Rad

M.Sc. student in structural engineering, School of Civil Engineering, IranUniversity of Science & Technology, Tehran, Iran.

Ali Abedi

M.Sc. student in structural engineering, School of Civil Engineering, IranUniversity of Science & Technology, Tehran, Iran.