scholarly journals Structural damage diagnosis of steel truss bridges by outlier detection

2014 ◽  
pp. 4631-4638 ◽  
Author(s):  
C Kim ◽  
S Kitauchi ◽  
K Chang ◽  
P McGetrick ◽  
K Sugiura ◽  
...  
Keyword(s):  
Outlier Detection ◽  
Structural Damage ◽  
Damage Diagnosis ◽  
Truss Bridges ◽  
Steel Truss ◽  
Steel Truss Bridges

scholarly journals Damage Diagnosis of Steel Truss Bridges under Varying Environmental And Loading Conditions

2019 ◽  
Vol 24 (No 1) ◽  
pp. 56-67
Author(s):  
Kundan Kumar ◽  
Prabir Kumar Biswas ◽  
Nirjhar Dhang
Keyword(s):  
Damage Detection ◽  
Damage Index ◽  
Loading Conditions ◽  
Damage Diagnosis ◽  
Truss Bridges ◽  
Vibration Data ◽  
Damage Location ◽  
Steel Truss ◽  
Truss Bridge ◽  
Steel Truss Bridges

In this paper, we propose a damage detection and localization algorithm for steel truss bridges using a data-driven approach under varying environmental and loading conditions. A typical steel truss bridge is simulated in ANSYS for data generation. Damage is introduced by reducing the stiffness of one or more members of the truss bridge. The simulated acceleration time-history signals are used for the purpose of damage diagnosis purpose. Vibration data collected from healthy bridges are processed through principal component analysis (PCA) to find the reduced size weighted feature vectors in model space. Unknown test vibration data (healthy or damaged) finds the closest match of its reduced size model from the training database containing only healthy vibration data. The residual error between the spread of closest healthy vibration data and unknown test vibration data is processed to determine damage location and severity of the damage to the structure. A comparative study between a proper orthogonal decomposition (POD) based damage detection algorithm and proposed algorithm is presented. The results show that the proposed algorithm is efficient to identify the damage location and assess the severity of damage, called as the Damage Index (DI), under varying environmental and moving load conditions.

scholarly journals Damage diagnosis for complex steel truss bridges using multi-layer genetic algorithm

2013 ◽  
Vol 3 (2) ◽  
pp. 117-127 ◽  
Author(s):  
F. L. Wang ◽  
T. H. T. Chan ◽  
D. P. Thambiratnam ◽  
A. C. C. Tan
Keyword(s):  
Genetic Algorithm ◽  
Damage Diagnosis ◽  
Truss Bridges ◽  
Steel Truss ◽  
Steel Truss Bridges

Structural Health Indices for Steel Truss Bridges

2011 ◽  
pp. 391-398 ◽  
Author(s):  
Ryan Kent Giles ◽  
Robin Kim ◽  
Billie F. Spencer ◽  
M. Nathan ◽  
Anne M. Newmark ◽  
...  
Keyword(s):  
Structural Health ◽  
Truss Bridges ◽  
Health Indices ◽  
Steel Truss ◽  
Steel Truss Bridges

Study on Dynamic Characteristic of 64m Railway Steel Truss Bridge on Expanding Heavy-Load Transport Condition

2011 ◽  
Vol 90-93 ◽  
pp. 1100-1105
Author(s):  
Zhi Jie Sun ◽  
Jun Min Shen ◽  
Jian Bin Zhao ◽  
Zhong Ming Su
Keyword(s):  
Dynamic Performance ◽  
Load Condition ◽  
Vertical Acceleration ◽  
Performance Parameters ◽  
Heavy Load ◽  
Double Line ◽  
Truss Bridges ◽  
Conventional Condition ◽  
Steel Truss ◽  
Steel Truss Bridges

Through theoretical calculation, systemic analysis of dynamic performance of the 64m single and double line railway steel truss bridges on the expanding condition and conventional condition. Contrast and analysis the main dynamic performance parameters of bridges on the two kinds of operating condition. In 64m steel truss bridges of Shuozhou-Huanghuagang Railway application practice proves that on expanding heavy-load condition, the main dynamic performance parameters of bridges are slightly larger than conventional condition, but the variation law of vertical acceleration of mid-span is different.

Sign in / Sign up

Export Citation Format

Share Document