Damage detection on a steel-free bridge deck using random vibration

2005 ◽  
Author(s):  
Zhengjie Zhou ◽  
Bruce F. Sparling ◽  
Leon D. Wegner
Keyword(s):  
Damage Detection ◽  
Random Vibration ◽  
Bridge Deck

Damage detection of coupled bridge deck-girder system

2006 ◽  
Vol 42 (11) ◽  
pp. 942-949 ◽  
Author(s):  
S. Roy ◽  
S. Chakraborty ◽  
S.K. Sarkar
Keyword(s):  
Damage Detection ◽  
Bridge Deck

scholarly journals Random vibration based damage detection for a composite beam under environmental and operational variability via a stochastic Functional Model based method

2018 ◽  
Vol 188 ◽  
pp. 01003 ◽  
Author(s):  
Tryfon-Chrysovalantis Aravanis ◽  
Spiros Kolovos ◽  
John Sakellariou ◽  
Spilios Fassois
Keyword(s):  
Damage Detection ◽  
Composite Beam ◽  
Random Vibration ◽  
State Of The Art ◽  
Functional Model ◽  
Principal Component ◽  
Operating Conditions ◽  
Baseline Phase ◽  
Model Based ◽  
Stochastic Functional

The problem of random vibration response based damage detection for a composite beam under non-measurable environmental and operational variability, presently temperature and tightening torque, is considered via a Functional Model based method. The method is based on proper representation of the healthy structural dynamics under any environmental/operating conditions via a data based Functional Model obtained in the method’s baseline phase and used to define a ‘healthy subspace’. Damage detection is, in the method’s inspection phase, achieved by examining whether or not the current dynamics belongs to the healthy subspace. The experimental results obtained for damage detection on a composite beam indicate excellent detection performance, with correct detection rate of 100% for false alarm rate as small as 1%. The superiority of the proposed method is confirmed via comparisons with a state-of-the-art Principal Component Analysis based method.

Damage Detection of Historic Timber Structure Based on Cross Correlation Function Amplitude Vectors

2011 ◽  
Vol 368-373 ◽  
pp. 2442-2446
Author(s):  
Yan Fang Hou ◽  
Wei Bing Hu
Keyword(s):  
Correlation Function ◽  
Damage Detection ◽  
Structural Damage ◽  
Random Vibration ◽  
Cross Correlation ◽  
Timber Structure ◽  
Cross Correlation Function ◽  
Vector Criterion ◽  
Before And After ◽  
Relative Change

Cross Correlation Function Amplitude Vector(CorV) is a method of damage detection which is based on random vibration .In this paper, CorV is introduced in the damage detection of historic timber structure according to the characteristics of structure and damage.Meanwhile,the research has been done. CorV of structural damage before and after the change has been expressed that is based on Cross Correlation function amplitude Vector Criterion(CVAC) .Results show that there is a remarkable decrease of CVAC among the CorVs between damaged and intact structures.Damage locations can be determined through the relative change of CorVs which is before or after the damage of the structure . A basis can be provided for the damage of buildings and the ancient structure protection through this paper.

An automated hypersphere-based healthy subspace method for robust and unsupervised damage detection via random vibration response signals

2021 ◽  
pp. 147592172110044
Author(s):  
Vamvoudakis-Stefanou Kyriakos ◽  
Fassois Spilios ◽  
Sakellariou John
Keyword(s):  
Damage Detection ◽  
High Performance ◽  
Random Vibration ◽  
Feature Space ◽  
Vibration Response ◽  
Alternative Methods ◽  
Detection Methods ◽  
Subspace Method ◽  
Uncertainty Sources ◽  
Automated Algorithm

A novel, unsupervised, hypersphere-based healthy subspace method for robust damage detection under non-quantifiable uncertainty via a limited number of random vibration response sensors is postulated. The method is based on the approximate construction, within a proper feature space, of a healthy subspace representing the healthy structural dynamics under uncertainty as the union of properly selected hyperspheres. This is achieved via a fully automated algorithm eliminating user intervention, and thus subjective selections, or complex optimization procedures. The main asset of the proposed method lies in combining simplicity and full automation with high performance. Its performance is systematically assessed via two experimental case studies featuring various uncertainty sources and distinct healthy subspace geometries, while interesting comparisons with three well-known robust damage detection methods are also performed. The results indicate excellent detection performance, which also compares favorably to that of alternative methods.

scholarly journals Optimum Placement of Long Gauge FBG Sensor in Reinforced Concrete Bridge: A Case Study

2021 ◽  
Vol 2090 (1) ◽  
pp. 012162
Author(s):  
Sayantani Lala ◽  
Nandini Basumallick ◽  
Palas Biswas ◽  
Somnath Bandyopadhyay
Keyword(s):  
Reinforced Concrete ◽  
Damage Detection ◽  
Health Monitoring ◽  
Bridge Deck ◽  
Structural Integrity ◽  
Moving Load ◽  
Warning System ◽  
Element Model ◽  
Fibre Bragg Grating ◽  
Fbg Sensors

Abstract In the world today, civil infrastructure plays a major role in the advancement of the modern age. They are huge in scale, complex in their behaviour and create great impact in everyday life. To ensure safety of these structures, assessment of their structural integrity is an important and challenging task. The sole purpose of structural health monitoring is to detect damage in the structures and suggest suitable rehabilitation measures. Various sensors are employed to achieve the task of damage detection and establish a warning system to avoid failure of the structures. For large structures, long-gauge Fibre Bragg Grating (FBG) sensors which are sensitive to the global behaviour, can be suitably used for this purpose. However, health monitoring of a structure with large number of sensors is expensive and hence there is a need to optimize the number of sensors deployed to minimize the cost of the exercise without compromising on performance assessment. For this purpose, several optimization algorithms are available in literature. In this study, the Effective Independence Method (EIM) which optimizes the response of the structure based on modal analysis, is used to derive the Optimum sensor placement (OSP) protocol for a reinforced concrete (RC) bridge-deck in Poland, the geometry of which has been taken from literature. This will enable the placement of 40 long gauge FBG sensors in regions for efficient damage response in the bridge-deck. Further, the optimum orientation of the sensors is further validated with a finite element model of the bridge-deck, where a moving load is applied, and strains are recorded in the sensing fibre in both longitudinal (along length) and transverse (along breadth) alignments. It has been found that long gauge FBG sensors placed in the transverse direction are more efficient in damage detection than when they are placed longitudinally.

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