Numerical study of damage detection of a truss bridge using pseudo local flexibility method

2021 ◽  
pp. 215-216
Author(s):  
T.Y. Hsu ◽  
M.C. Lu ◽  
S.Y. Shiao ◽  
K.C. Chang ◽  
C.W. Kim
Keyword(s):  
Damage Detection ◽  
Numerical Study ◽  
Local Flexibility ◽  
Truss Bridge

scholarly journals Development of a Novel Damage Detection Framework for Truss Railway Bridges Using Operational Acceleration and Strain Response

Vibration ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 422-445
Author(s):  
Md Riasat Azim ◽  
Mustafa Gül
Keyword(s):  
Damage Detection ◽  
Damage Identification ◽  
Numerical Study ◽  
Damage Index ◽  
Strain Analysis ◽  
Time History ◽  
Principal Component ◽  
Element Model ◽  
Railway Bridges ◽  
Truss Bridge

Railway bridges are an integral part of any railway communication network. As more and more railway bridges are showing signs of deterioration due to various natural and artificial causes, it is becoming increasingly imperative to develop effective health monitoring strategies specifically tailored to railway bridges. This paper presents a new damage detection framework for element level damage identification, for railway truss bridges, that combines the analysis of acceleration and strain responses. For this research, operational acceleration and strain time-history responses are obtained in response to the passage of trains. The acceleration response is analyzed through a sensor-clustering-based time-series analysis method and damage features are investigated in terms of structural nodes from the truss bridge. The strain data is analyzed through principal component analysis and provides information on damage from instrumented truss elements. A new damage index is developed by formulating a strategy to combine the damage features obtained individually from both acceleration and strain analysis. The proposed method is validated through a numerical study by utilizing a finite element model of a railway truss bridge. It is shown that while both methods individually can provide information on damage location, and severity, the new framework helps to provide substantially improved damage localization and can overcome the limitations of individual analysis.

Damage Detection in Rods Using Wave Propagation and Regression Analysis

1999 ◽  
Author(s):  
K. T. Feroz ◽  
S. O. Oyadiji
Keyword(s):  
Wave Propagation ◽  
Regression Analysis ◽  
Damage Detection ◽  
Numerical Study ◽  
Time History ◽  
Ball Impact ◽  
Spherical Ball ◽  
Time Histories ◽  
Measured Strain ◽  
Force Time

Abstract The phenomena of wave propagation in rods was studied both numerically and experimentally. The finite element (FE) code ABAQUS was used for the numerical study while PZT (lead zirconium titanate) sensors and a 50 MHz transient recorder were used experimentally to monitor and to capture the propagation of stress pulses. For the study of damage detection in the rods the analyses and the experiments were repeated by introducing slots in a fixed axial location of the rod. A longitudinal wave was induced in the rod via collinear impact which was modelled in the FE analyses using the force-time history computed from the classical Hertz contact theory. In the experimental measurements this was achieved by a spherical ball impact at one plane end of the rods. It is shown that the predicted and measured strain-time histories for the defect-free rod and for the rods with defect correlate quite well. These results also show that defects can be located using the wave propagation phenomena. A regression analysis technique of the predicted and measured strain histories of the defect free rod and of the rod with defect was also performed. The results show that this technique is more efficient for smaller defects. In particular, it is shown that the area enclosed by the regression curve increases as the defect size increases.

Testing and Monitoring for a Large Scale Truss Bridge Using Long-Gauge Fiber Optic Sensors

2013 ◽  
Vol 569-570 ◽  
pp. 223-229 ◽  
Author(s):  
Chun Feng Wan ◽  
Wan Hong ◽  
Zhi Shen Wu ◽  
Tadanobu Sato
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Large Scale ◽  
Fiber Optic ◽  
Fiber Optic Sensors ◽  
Structural Testing ◽  
Bragg Grating ◽  
Truss Bridges ◽  
Long Span ◽  
Truss Bridge

Fiber optic sensors become very popular for structural testing and monitoring in civil engineering nowadays, due to its advantage of high resolution and environment durability. In this paper, long-gauge fiber optic bragg grating sensors will be introduced. Structural damage detection stratagem using the micro-strain mode will be studied. Then its application to a structural testing and monitoring for a real long span truss bridge will be discussed in detail. In the testing, 23 long-gauge fiber optic bragg grating sensors were deployed on the mid span of the bridge. Testing were made under conditions either there is train on the bridge or no train on it. Corresponding dynamic characteristics were analyzed and discussed. Results of the testing show that long-gauge fiber optic sensors can work well for structural testing and also damage detection for truss bridges.

scholarly journals Retraction: Numerical study for single and multiple damage detection and localization in beam-like structures using BAT algorithm

2017 ◽  
Vol 19 (8) ◽  
pp. 6519-6519 ◽  
Author(s):  
Samir Khatir ◽  
Idir Belaidi ◽  
Roger Serra ◽  
Magd Abdel Wahab ◽  
Tawfiq Khatir
Keyword(s):  
Damage Detection ◽  
Numerical Study ◽  
Bat Algorithm ◽  
Detection And Localization

Correlation-Based Damage Identification and Quantification Using Modal Kinetic Energy Change

2020 ◽  
Vol 20 (10) ◽  
pp. 2042007
Author(s):  
J. T. Joseph ◽  
T. H. T. Chan ◽  
K.-D. Nguyen
Keyword(s):  
Kinetic Energy ◽  
Damage Detection ◽  
Damage Identification ◽  
Numerical Study ◽  
Traditional Approach ◽  
Mass Change ◽  
Algorithm Optimization ◽  
Damage Scenarios ◽  
Simply Supported ◽  
Modal Properties

Many existing damage identification or quantification methods can be employed only if the internal and external mass changes are negligible when tested at two different states of a structure. This paper presents a new Modal Kinetic Energy (MKE)-based method to detect and quantify damage using modal properties of structures, which can be employed even in situations when mass change is not more than a certain extent. A new damage sensitivity parameter has been developed using measured modal characteristics of baseline structure. The MKE change (MKEC) concept is then employed to locate damage and to estimate relative perturbation at each element. The relative damage extent vector is estimated by searching the best correlation between the analytical and experimental MKEC vectors with the help of genetic algorithm optimization tool. The extent of damage is calculated after computing damage scaling coefficient using measured eigenvalue change vector. A numerical study is carried out on a simply supported single span beam to confirm its performance under various test conditions. The robustness of the proposed MKE method and the significance of mass variation in the damage detection approach are evaluated by comparing the damage quantification results with a traditional approach. Finally, the proposed damage detection method is applied on a two-span simply supported beam for single and multiple damage scenarios by extracting the modal properties experimentally. The results revealed that the proposed approach is capable of detecting and estimating single and multiple damages with reasonable accuracy even in moderate noise contaminated and mass change environments.

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