Corrigendum to “Parametric study of using only static response in structural damage detection” [Engineering Structures 34 (2012) 124–131]

2012 ◽  
Vol 35 ◽  
pp. 322
Author(s):  
Mohamed Abdel-Basset Abdo
Keyword(s):  
Damage Detection ◽  
Parametric Study ◽  
Structural Damage ◽  
Static Response ◽  
Structural Damage Detection ◽  
Engineering Structures

Development of Civil Engineering Structural Damage Diagnosis

2013 ◽  
Vol 671-674 ◽  
pp. 2029-2031
Author(s):  
De Yu Huang
Keyword(s):  
Damage Detection ◽  
Hot Spots ◽  
International Research ◽  
Structural Damage ◽  
Civil Engineering ◽  
Structural Damage Detection ◽  
Traditional Methods ◽  
Engineering Structures ◽  
Damage Diagnosis ◽  
Dynamic Methods

Damage diagnosis of civil engineering structures has become one of the hot spots of the current international research in the field of Civil Engineering.This article describes the tasks and objectives of structural damage detection in civil engineering,systematically expounded the civil engineering structural damage diagnosis describes the traditional methods of structural damage diagnosis, static methods and dynamic methods, and evaluated their respective advantages and disadvantages.Finally, the study made several suggestions and Prospects for structural damage detection.

Application of Wavelet Packet Transform and Neural Network to Detect Damage of Elastic Thin Plate

2012 ◽  
Vol 594-597 ◽  
pp. 1105-1108 ◽  
Author(s):  
Dong Hai Xie ◽  
Hong Wei Tang
Keyword(s):  
Damage Detection ◽  
Thin Plate ◽  
Structural Damage ◽  
Civil Engineering ◽  
Wavelet Packet ◽  
Engineering Application ◽  
Physical Models ◽  
Structural Damage Detection ◽  
Engineering Structures ◽  
Elastic Thin Plate

In recent years,most existing engineering structures which have approached their normal life span, such as concrete plate, concrete beam etc., Almost all of these architecture structures are subjected to damage due to external loads, initial design defect etc. Structural damage detection and assessment has been becoming a focus of increasing interest in civil engineering field. However,At present, the study on structural damage detection is still at initial stage and the adopted main approaches are theoretical analysis and numerical simulation, but physical models are scarce. This leads to the yielded theories and methods are not sufficiently applicable for practical engineering application. Aiming at this, this paper focuses on developing effective methods of using wavelet and neural networks to detect the damage of elastic thin plate due to their extensive applications in civil engineering.

scholarly journals An Investigation of Particle Swarm Optimization Topologies in Structural Damage Detection

2021 ◽  
Vol 11 (11) ◽  
pp. 5144
Author(s):  
Xiao-Lin Li ◽  
Roger Serra ◽  
Julien Olivier
Keyword(s):  
Particle Swarm Optimization ◽  
Damage Detection ◽  
Structural Damage ◽  
Heuristic Algorithms ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Structural Damage Detection ◽  
Engineering Structures ◽  
Swarm Optimization ◽  
Global Topology

In the past few decades, vibration-based structural damage detection (SDD) has attracted widespread attention. Using the response data of engineering structures, the researchers have developed many methods for damage localization and quantification. Adopting meta-heuristic algorithms, in which particle swarm optimization (PSO) is the most widely used, is a popular approach. Various PSO variants have also been proposed for improving its performance in SDD, and they are generally based on the Global topology. However, in addition to the Global topology, other topologies are also developed in the related literature to enhance the performance of the PSO algorithm. The effects of PSO topologies depend significantly on the studied problems. Therefore, in this article, we conduct a performance investigation of eight PSO topologies in SDD. The success rate and mean iterations that are obtained from the numerical simulations are considered as the evaluation indexes. Furthermore, the average rank and Bonferroni-Dunn’s test are further utilized to perform the statistic analysis. From these analysis results, the Four Clusters are shown to be the more favorable PSO topologies in SDD.

Structural damage detection using incomplete modal data and incomplete static response

2013 ◽  
Vol 17 (1) ◽  
pp. 216-223 ◽  
Author(s):  
Seyed Sina Kourehli ◽  
Abdollah Bagheri ◽  
Gholamreza Ghodrati Amiri ◽  
Mohsen Ghafory-Ashtiany
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Static Response ◽  
Structural Damage Detection ◽  
Modal Data

Quasi-static macrostrain-based structural damage detection with distributed long-gauge fiber Bragg grating sensing

2020 ◽  
Vol 31 (18) ◽  
pp. 2137-2151
Author(s):  
Zhenwei Zhou ◽  
Chunfeng Wan ◽  
Da Fang ◽  
Liyu Xie ◽  
Hesheng Tang ◽  
...  
Keyword(s):  
Damage Detection ◽  
Fiber Bragg Grating ◽  
Structural Damage ◽  
Civil Engineering ◽  
Time History ◽  
Bragg Grating ◽  
Intrinsic Mode Functions ◽  
Structural Damage Detection ◽  
Engineering Structures ◽  
Damage Scenarios

The distributed long-gauge fiber Bragg grating sensing technology has been studied and developed in recent years for structural health monitoring of civil engineering structures. Also, the corresponding damage identification method is one of the research hotspots and still needs to be enhanced. In this article, a novel damage detection method based on the distributed long-gauge fiber Bragg grating sensing technique is proposed to detect and localize damages. The method is based on the advanced complete ensemble empirical mode decomposition adaptive noise algorithm. Measured macrostrain responses from the long-gauge fiber Bragg grating sensors are decomposed into intrinsic mode functions, and the quasi-static macrostrains are extrapolated and extracted. A damage indicator is therefore proposed and built based on the quasi-static macrostrain time history. The effectiveness of the proposed damage detection approach was validated by numerical simulations of a cantilever beam. The robustness of the method was further verified by considering the noise pollution contained within the measured macrostrain. Experiments with a practical cantilever steel beam with different damage scenarios were also conducted and studied. Results proved that the proposed method could not only detect but also locate the damages accurately, and therefore has the promising potential for structural damage detection in civil engineering.

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