Development of video analytics with template matching methods for using camera as sensor and application to highway bridge structural health monitoring

2020 ◽  
Vol 10 (3) ◽  
pp. 405-424
Author(s):  
P. Xiao ◽  
Z. Y. Wu ◽  
R. Christenson ◽  
S. Lobo-Aguilar
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Template Matching ◽  
Highway Bridge ◽  
Video Analytics ◽  
Structural Health ◽  
Matching Methods

Sensor Network for Structural Health Monitoring of a Highway Bridge

2010 ◽  
Vol 24 (1) ◽  
pp. 11-24 ◽  
Author(s):  
Michael Fraser ◽  
Ahmed Elgamal ◽  
Xianfei He ◽  
Joel P. Conte
Keyword(s):  
Structural Health Monitoring ◽  
Sensor Network ◽  
Health Monitoring ◽  
Highway Bridge ◽  
Structural Health

scholarly journals Wireless-Based Identification and Model Updating of a Skewed Highway Bridge for Structural Health Monitoring

2020 ◽  
Vol 10 (7) ◽  
pp. 2347 ◽  
Author(s):  
Leqia He ◽  
Edwin Reynders ◽  
Jaime H. García-Palacios ◽  
Giuseppe Carlo Marano ◽  
Bruno Briseghella ◽  
...  
Keyword(s):  
Finite Element ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Model Updating ◽  
Element Model ◽  
Mode Shapes ◽  
Highway Bridge ◽  
Fe Model ◽  
Structural Health ◽  
Skewed Bridge

Vibration-based monitoring was performed on a short-span skewed highway bridge on the basis of wireless measurements. By means of operational modal analysis, highly accurate modal results (frequencies and mode shapes) were extracted by using a self-developed wireless acquisition system, for which the performance was verified in the field. In order to reproduce the experimental modal characteristics, a refined finite element model was manually tuned to reduce the idealization errors and then updated with the sensitivity method to reduce the parametric errors. It was found that to build a reliable Finite element (FE) model for application in structural health monitoring, the effects of superelevation and boundary conditions of a skewed bridge should be taken into account carefully.

scholarly journals Implementation of a Probabilistic Structural Health Monitoring Method on a Highway Bridge

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Adam Scianna ◽  
Zhaoshuo Jiang ◽  
Richard Christenson ◽  
John DeWolf
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Structural Damage ◽  
Probability Distributions ◽  
Highway Bridge ◽  
Monitoring Method ◽  
Operational Conditions ◽  
Structural Health ◽  
Bridge Superstructure ◽  
Girder Bridge

This paper describes the application of a probabilistic structural health monitoring (SHM) method to detect global damage in a highway bridge in Connecticut. The proposed method accounts for the variability associated with environmental and operational conditions. The bridge is a curved three-span steel dual-box girder bridge located in Hartford, Connecticut. The bridge, monitored since Fall 2001, experienced a period of settling in the Winter of 2002-2003. While this change was not associated with structural damage, it was observed in a permanent rotation of the bridge superstructure. Three damage measures are identified in this study: the value of fundamental natural frequency determined from peak picking of autospectral density functions of the bridge acceleration measurements; the magnitude of the peak acceleration measured during a truck crossing; the magnitude of the tilt measured at 10-minute intervals. These damage measures, including thermal effects, are shown to be random variables and associatedPvalues are calculated to determine if the current probability distributions are the same as the distributions of the baseline bridge data from 2001. Historical data measured during the settling of the bridge is used to verify the performance of the bridge, and the field implementation of the proposed method is described.

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