scholarly journals Structural diagnosis of bridge using output-only vibration in moving vehicle laboratory experiment

2011 ◽  
Vol 67 (2) ◽  
pp. I_833-I_842 ◽  
Author(s):  
Chul-Woo Kim ◽  
Ryo Isemoto ◽  
Mitsuo Kawatani ◽  
Kunitomo Sugiura
Keyword(s):  
Laboratory Experiment ◽  
Moving Vehicle ◽  
Output Only ◽  
Structural Diagnosis

scholarly journals Output-Only Damage Detection of Steel Beam Using Moving Average Filter

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Hadi Kordestani ◽  
Yi-Qiang Xiang ◽  
Xiao-Wei Ye
Keyword(s):  
Moving Average ◽  
Steel Beam ◽  
Moving Average Filter ◽  
Moving Vehicle ◽  
Acceleration Signal ◽  
Damage Location ◽  
Acceleration Data ◽  
Convolution Approach ◽  
Output Only ◽  
Average Filter

This paper provides a simple and direct output-only baseline-free method to detect damage from the noisy acceleration data by using Moving Average Filter (MAF). MAF is a convolution approach based on a simple filter kernel (rectangular shape) that works as an averaging method to smooth signal and remove incorporated noise. In this paper, a method is proposed to employ MAF to smooth acceleration signals obtained from a series of accelerometers and determine the damage location along a steel beam. To verify the proposed method, a simply supported beam was modelled through a 3D numerical simulation and an experimental model under a moving vehicle load. The response acceleration data was then recorded at a sampling frequency of 500 Hz. Finally, damage location was identified by applying the proposed method. The results showed that the proposed method can accurately estimate the damage location from the acceleration signal without applying any frequency filtering or baseline correction.

scholarly journals An acceleration-based approach for crack localisation in beams subjected to moving oscillators

2020 ◽  
pp. 107754632092982 ◽  
Author(s):  
Ali Nikkhoo ◽  
Hossein Karegar ◽  
Reza Karami Mohammadi ◽  
Iman Hajirasouliha
Keyword(s):  
Model Updating ◽  
Crack Depth ◽  
Arbitrary Point ◽  
Acceleration Sensor ◽  
Moving Vehicle ◽  
Hilbert Huang Transform ◽  
Small Depth ◽  
Bridge Type ◽  
Output Only ◽  
Moving Oscillator

In this study, an output-only crack localisation method based on the Hilbert–Huang transform is proposed for crack localisation in bridge-type structures subjected to a moving vehicle simulated by a moving oscillator. The proposed method can accurately identify the location of cracks without using the conventional computationally expensive model updating techniques. The new crack localisation method can be adopted using fixed sensor and moving sensor approaches. In the fixed sensor approach, an acceleration sensor is located on an arbitrary point of the bridge, whereas in the moving sensor approach, an acceleration sensor is attached to a moving vehicle. The efficiency of the fixed sensor and moving sensor approaches is assessed through several numerical examples. A comprehensive analytical study is also conducted to investigate the impacts of crack depth and moving vehicle characteristics (such as damping coefficient, natural frequency, and velocity) on the accuracy of the predictions. It is shown that the proposed crack localisation method using fixed sensor and moving sensor approaches could efficiently identify the location and localisation of the cracks in all cases. However, the results indicate that the accuracy of the fixed sensor approach is generally better than that of the moving sensor approach in the localisation of cracks with small depth.

Susceptibility of Angoff Method to Judgmental Errors: A Laboratory Experiment

2006 ◽  
Author(s):  
Daren S. Protolipac ◽  
Lisa Finkelstein ◽  
John Kulas
Keyword(s):  
Laboratory Experiment ◽  
Angoff Method

An experimental study on the design method of a real-sized Mobile Bridge for a moving vehicle

2014 ◽  
Author(s):  
Y. Chikahiro ◽  
I. Ario ◽  
M. Nakazawa ◽  
S. Ono ◽  
J. Holnicki-Szulc ◽  
...  
Keyword(s):  
Experimental Study ◽  
Design Method ◽  
Moving Vehicle
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