DocumentCode
553967
Title
Using GPS for dynamic monitoring tall-building´s structures based on wavelet analysis
Author
Xiao Guiyuan ; Liu Lilong ; Chen Qiuguang
Author_Institution
Key Lab. of Road & Traffic Eng. of Minist. of Educ., Tongji Univ., Shanghai, China
Volume
1
fYear
2011
fDate
26-28 July 2011
Firstpage
316
Lastpage
319
Abstract
Relative displacements used to assess stress and drift conditions of structures are difficult to measure directly. Accelerometers are the most common instruments used to monitor structural systems during earthquakes or strong winds, but to arrive at displacements requires processing including double integration. In most cases, such processing does not take place in real-time or near real-time because of requisite steps including choice of filters for signal processing. These choices could introduce errors at periods relevant to structural response. However, recently advances in Global Positioning System (GPS) technology allows reliable monitoring of tall buildings. This paper takes one instance of GPS dynamic monitoring in tall buildings to study the method, function and operating process of deformation analysis based on wavelet transform. The results demonstrate structure vibration can be completely determined by GPS dynamic monitoring technology. Wavelet transform can efficiently extract weak but useful signals from original signals disturbed by strong noises, which is superior to those traditional methods.
Keywords
Global Positioning System; accelerometers; building; signal processing; wavelet transforms; GPS technology; accelerometers; deformation analysis; double integration; drift conditions; dynamic monitoring tall-building structures; filters; global positioning system technology; relative displacements; signal processing; stress conditions; structural response; wavelet transform; Buildings; Global Positioning System; Monitoring; Systematics; Wavelet analysis; Wavelet transforms; GPS dynamic monitoring; characteristic extraction; tall building; wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022050
Filename
6022050
Link To Document