scholarly journals Comparative Study of Damage Detection Methods Based on Long-Gauge FBG for Highway Bridges

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3623 ◽  
Author(s):  
Shi-Zhi Chen ◽  
De-Cheng Feng ◽  
Wan-Shui Han
Keyword(s):  
Comparative Study ◽  
Damage Detection ◽  
Highway Bridges ◽  
Gauge Length ◽  
Detection Methods ◽  
Noise Levels ◽  
Damage Scenarios ◽  
Road Roughness ◽  
Parametric Studies ◽  
Fbg Sensors

Damage detection of highway bridges is a significant part of structural heath monitoring. Conventional accelerometers or strain gauges utilized for damage detection have many shortcomings, especially their monitoring gauge length being too short, which would result in poor damage detection results. Under this circumstance, long-gauge FBG sensors as a novel optical sensor were developed to measure the macro-strain response of the structure. Based on this sensor, many derived damage detection methods were proposed. These methods exhibit various characteristics and have not been systematically compared. As a result, it is difficult to evaluate the state of the art and also leads to confusion for users to select. Therefore, a strict comparative study on three representative methods using long-gauge FBG was carried out. First, these methods’ theoretical backgrounds and formats were reformulated and unified for better comparison. Then, based on validated vehicle–bridge coupling simulation, these methods’ performances were tested through a series of parametric studies including various damage scenarios, vehicle types, speeds, road roughness and noise levels. The precision and reliability of three methods have been thoroughly studied and compared.

scholarly journals A Comparative Study on Sensitivity-Based Damage Detection Methods in Bridges

2015 ◽  
Vol 2015 ◽  
pp. 1-19 ◽  
Author(s):  
Akbar Mirzaee ◽  
Reza Abbasnia ◽  
Mohsenali Shayanfar
Keyword(s):  
Finite Element ◽  
Comparative Study ◽  
Damage Detection ◽  
Model Updating ◽  
Moving Load ◽  
Element Model ◽  
Measurement Noise ◽  
Detection Methods ◽  
Sensitivity Matrix ◽  
Discrete Approach

This paper provides a comparative study on four different sensitivity-based damage detection methods for bridges. The methods investigated in this study are approximation approach, semianalytical discrete approach, and analytical discrete approach, which includes direct differential and adjoint variable methods. These sensitivity-based methods utilize finite element model updating procedure and allow a wide choice of physically meaningful parameters leading to vast range of applications in damage detection. The most important difficulty in these methods is calculation of sensitivity matrix. Calculation of this massive matrix is repeated in each iteration and has a significant effect on the efficiency of method. In this study, the acceleration measurements are simulated from the solution to the forward problem using finite element method under moving load with various speeds, along with the addition of artificially produced measurement noise. Various damaged structures with different damage patterns including single, multiple, and random damage are considered and efficiency of four sensitivity methods is compared. Moreover, various possible sources of error such as the effects of measurement noise as well as initial assumption error in stability of the methods are also discussed.

Evaluating the utility of global damage detection methods for highway bridges

2000 ◽  
Author(s):  
Dennis M. McCann ◽  
Nicholas P. Jones ◽  
J. H. Ellis
Keyword(s):  
Damage Detection ◽  
Highway Bridges ◽  
Detection Methods

Damage Detection in Nonlinear Systems Using Optimal Feedback Auxiliary Signals and System Augmentations

2010 ◽  
Vol 132 (2) ◽  
Author(s):  
Kiran D’Souza ◽  
Bogdan I. Epureanu
Keyword(s):  
Nonlinear Systems ◽  
Damage Detection ◽  
Linear Models ◽  
Measurement Data ◽  
Limited Range ◽  
Detection Methods ◽  
Damage Scenarios ◽  
Optimal Feedback ◽  
Dimensional State Space ◽  
Low Sensitivity

An optimal sensitivity enhancing feedback control has been proposed recently. This method differs from previous sensitivity enhancing approaches because in addition to placing the closed-loop eigenvalues of the interrogated system, the eigenvectors are also optimally placed. This technique addresses two major limitations of frequency-based damage detection methods: the low sensitivity of the frequencies to damages and the limited range of damage scenarios identifiable from frequency-only measurement data. An unresolved challenge is enhancing sensitivity for nonlinear systems. This paper addresses this challenge by using optimal feedback auxiliary signals to enhance sensitivity for damage detection in nonlinear systems. The nonlinearity is accounted for by creating augmented linear models of higher order (in a higher dimensional state space). The methodology for constructing augmented linear systems with this property has been previously proposed by the authors (2008, “Multiple Augmentations of Nonlinear Systems and Generalized Minimum Rank Perturbations for Damage Detection,” J. Sound Vib., 316(1-5), pp. 101–121). Herein, the focus is on generalizing the previous work on sensitivity enhancing feedback and on system augmentation for enhancing sensitivity of damage detection in nonlinear systems. Results obtained by applying the optimal feedback auxiliary signals and optimal augmentation to a nonlinear mass-spring system are presented.

An Improved Direct Stiffness Calculation Technique for Damage Detection of Bending Structures

2011 ◽  
Vol 368-373 ◽  
pp. 2224-2228
Author(s):  
Yang Yang ◽  
He Liu ◽  
Khalid M. Mosalam
Keyword(s):  
Damage Detection ◽  
Measurement Errors ◽  
Highway Bridges ◽  
Design Data ◽  
Damage Scenarios ◽  
Calculation Technique ◽  
Bridge Damage ◽  
Beam Type ◽  
Seismic Damage Assessment ◽  
Dsc Method

In this paper, a practical application for a continues beam-type bridge, the Truckee river bridge, California, to test the validity of the improved DSC method in the identification of the bridge damage after severe loading such as that caused by an earthquake was discussed. Comparing the calculated stiffness from the improved DSC method with that from design data of the bridge based on the numerical simulation with different damage scenarios in consideration of measurement errors, the location and severity of the damage in the bridge can be accurately and reliably detected. The pushover and seismic damage assessment analysis shows that the improved DSC is valid and efficient for damage detection in highway bridges.

scholarly journals Vibration-based dual-criteria approach for damage detection in arch bridges

2019 ◽  
Vol 18 (5-6) ◽  
pp. 2004-2019 ◽  
Author(s):  
Nirmani Jayasundara ◽  
David Thambiratnam ◽  
Tommy Chan ◽  
Andy Nguyen
Keyword(s):  
Damage Detection ◽  
Vibration Characteristics ◽  
Detection Methods ◽  
Structural Components ◽  
Arch Bridge ◽  
Damage Scenarios ◽  
Structural Health ◽  
Damage Indices ◽  
Bridge Model ◽  
Arch Bridges

Vibration characteristics of a structure can be used as an indication of its state of structural health as they vary if the structural health is affected by damage. This is the broad principle used in structural health monitoring for vibration-based damage detection of structures. Although most structures are built to have a long life span, they can incur damage due to many reasons. Early damage detection and appropriate retrofitting will enable the continued safe and efficient functioning of structures. This study develops and applies a dual-criteria method based on vibration characteristics to detect and locate damage in arch bridges. Steel arch bridges are one of the most aesthetically pleasing bridge types, which are reasonably popular in Australia and elsewhere. They exhibit three-dimensional and somewhat complex vibration characteristics that may not be suitable for traditional vibration-based damage detection methods. There have been relatively fewer studies on damage detection in these bridge types, and in particular the arch rib and struts, which are important structural components, have received little attention for damage detection. This study will address this research gap and treat the damage detection in the arch bridge structural components using the dual-criteria method to give unambiguous results. The proposed method is first validated by experimental data obtained from testing of a laboratory arch bridge model. The experimental results are also used to validate the modelling techniques and this is followed by damage detection studies on this bridge model as well as on a full-scale long-span arch bridge. Results demonstrate that the proposed dual-criteria method based on the two damage indices can detect and locate damage in the arch rib and vertical columns of deck-type arch bridges with considerable accuracy under a range of damage scenarios using only a few of the early modes of vibration.

Elimination of outlier measurements for damage detection of structures under changing environmental conditions

2021 ◽  
pp. 147592172199847
Author(s):  
William Soo Lon Wah ◽  
Yining Xia
Keyword(s):  
Damage Detection ◽  
Multiple Regression ◽  
Natural Frequencies ◽  
Detection Method ◽  
Detection Methods ◽  
Structure Model ◽  
Bridge Structure ◽  
Beam Structure ◽  
Dependent Variables ◽  
The Difference

Damage detection methods developed in the literature are affected by the presence of outlier measurements. These measurements can prevent small levels of damage to be detected. Therefore, a method to eliminate the effects of outlier measurements is proposed in this article. The method uses the difference in fits to examine how deleting an observation affects the predicted value of a model. This allows the observations that have a large influence on the model created, to be identified. These observations are the outlier measurements and they are eliminated from the database before the application of damage detection methods. Eliminating the outliers before the application of damage detection methods allows the normal procedures to detect damage, to be implemented. A multiple-regression-based damage detection method, which uses the natural frequencies as both the independent and dependent variables, is also developed in this article. A beam structure model and an experimental wooden bridge structure are analysed using the multiple-regression-based damage detection method with and without the application of the method proposed to eliminate the effects of outliers. The results obtained demonstrate that smaller levels of damage can be detected when the effects of outlier measurements are eliminated using the method proposed in this article.

Sign in / Sign up

Export Citation Format

Share Document