A design of bridge structure health monitoring and management system based on three-dimensional GIS model

2002 ◽  
pp. 1001-1008 ◽  
Author(s):  
W.Z. Shi ◽  
P.G. Cheng ◽  
J.M. Ko ◽  
J.Y. Gong
Keyword(s):  
Health Monitoring ◽  
Management System ◽  
Three Dimensional ◽  
Bridge Structure ◽  
Structure Health Monitoring ◽  
Gis Model

Research on FBG in 3-D Braided Composite Structure Health Monitoring

2011 ◽  
Vol 298 ◽  
pp. 68-72 ◽  
Author(s):  
Ming Wei Ding ◽  
Zhen Kai Wan ◽  
Yong Xin Ma
Keyword(s):  
Health Monitoring ◽  
Composite Structure ◽  
Three Dimensional ◽  
Fiber Bragg Gratings ◽  
Bragg Gratings ◽  
Braided Composites ◽  
Structure Health Monitoring ◽  
Braided Composite ◽  
Fundamental Structure ◽  
Monitoring Temperature

In this work, the application status and significance of Fiber Bragg Gratings（FBGs） and Three-dimensional (3-D) braided composites were briefly introduced, so were the fundamental structure of 3-D braided composites and the sensing mechanism of FBGs in them. Combined with the characteristics of 3-D braiding technology, this paper presents a primary theoretical solution for synchronously monitoring temperature and strain inside Three-dimensional (3-D) braided composites, and further analysis were made about it. It was shown by experiment that the application of FBGs in the structure health monitoring in 3-D braided composites has great potential.

Wavelet De-noising of GNSS Based Bridge Health Monitoring Data

2014 ◽  
Vol 8 (4) ◽  
Author(s):  
Oluropo Ogundipe ◽  
Jae Kang Lee ◽  
Gethin Wyn Roberts
Keyword(s):  
Wavelet Transform ◽  
Health Monitoring ◽  
Three Dimensional ◽  
Monitoring Systems ◽  
Accurate Information ◽  
Bridge Structure ◽  
Bridge Health Monitoring ◽  
Cable Stayed Bridge ◽  
Multiple Paths ◽  
Health Monitoring Systems

AbstractGNSS signal multipath occurs when the GNSS signal reflects of objects in the antenna environment and arrives at the antenna via multiple paths. A bridge environment is one that is prone to multipath with the bridge structure, as well as passing vehicles providing static and dynamic sources of multipath. In this paper, the Wavelet Transform (WT) is applied to bridge data collected on the Machang cable stayed bridge in Korea. The WT algorithm was applied to the GNSS derived bridge defection data at the mid-span. Up to 41% improvement in RMS was observed afterwavelet shrinkage de-noisingwas applied.Application of this algorithm to the torsion data showed significant improvement with the residual average and RMS decreased by 40% and 45% respectively. This method enabled the generation of more accurate information for bridge health monitoring systems in terms of the analysis of frequency, mode shape and three dimensional defections.

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