Damage localization in a cable-stayed bridge via bio-inspired metaheuristic tools

被引：22

作者：

Casciati, Sara ^{[1
]}

Elia, Lorenzo ^{[2
]}

机构：

[1] Univ Catania Siracusa, Dept Civil Engn & Architecture DICAr, Piazza Federico di Svevia 1, I-96100 Siracusa, Italy

[2] Univ Pavia, Dept Civil Engn & Architecture DICAr, Via Ferrata 3, I-27100 Pavia, Italy

来源：

STRUCTURAL CONTROL & HEALTH MONITORING | 2017年 / 24卷 / 05期

关键词：

artificial bee colony algorithm; damage localization; cable-stayed bridge; firefly algorithm; metaheuristic algorithms; optimization;

D O I：

10.1002/stc.1922

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Structural health monitoring is conceived to detect abnormal behaviors in structural systems. A highly non-linear objective function built on the discrepancies between true and generated modal features can be minimized for this purpose. After a finite element discretization is built, the design variables are chosen, and the optimization problem solved. Two bio-inspired metaheuristic tools, namely the artificial bee colony and the firefly algorithm, are employed to proceed toward the global minima. Comparing both identified and analytical stiffness matrices, the damage localization is performed. These methods are tested on a cable-stayed bridge placed in northern Italy. The efficiency of these tools is compared. Copyright (c) 2016 John Wiley & Sons, Ltd.

引用

页数：13

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