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Author:

Guo, Wen (Guo, Wen.) | Wang, Guoquan (Wang, Guoquan.) | Bao, Yan (Bao, Yan.) | Zhang, Mingju (Zhang, Mingju.) (Scholars:张明聚) | Sun, Xiaohan (Sun, Xiaohan.) | Zhao, Ruibin (Zhao, Ruibin.) | Gan, Weijun (Gan, Weijun.)

Indexed by:

EI Scopus CSCD

Abstract:

This paper introduces a method which utilizes global navigation satellite system (GNSS) based precision point positioning (PPP) for conducting long-term tilt and settlement monitoring of high-rise buildings in North China. Two-year continuous GNSS observations from two high-rise buildings near a deep foundation pit in Beijing are used for the case study. The method comprises four steps: Calculating the geocentric coordinates (XYZ) of the GNSS antenna with respect to a global reference frame (e.g., IGS08) with the PPP method; transforming the geocentric coordinates to a regional reference frame-the North China reference frame (NChina16); converting the geocentric XYZ coordinates to a station-centric East -North-Up (ENU) coordinates; removing seasonal ground-surface deformation from the ENU time series and restoring the true displacements (tilt and settlement) of the building. Experimental result indicates that the PPP method is able to achieve 2-3 mm horizontal accuracy(root mean square error) and 6-9 mm vertical accuracy (root mean square error)for 24-hour continuous observations in North China. The combination of PPP, NChina16, and the North China seasonal ground deformation model can perform millimeter-accuracy, near-real time, and long term static structural health monitoring of high-rise buildings and other large-scale infrastructure projects in North China. © 2020, Editorial Board of Geomatics and Information Science of Wuhan University. All right reserved.

Keyword:

Deformation Mean square error Tall buildings Antennas Global positioning system Structural health monitoring

Author Community:

  • [ 1 ] [Guo, Wen]Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Wang, Guoquan]Department of Earth and Atmospheric Sciences, University of Houston, TX; 77204, United States
  • [ 3 ] [Bao, Yan]Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Zhang, Mingju]Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Sun, Xiaohan]Tianjin Key Laboratory of Soft Soil Characteristic and Engineering Environment, Tianjin Chengjian University, Tianjin; 300384, China
  • [ 6 ] [Zhao, Ruibin]Tianjin Key Laboratory of Soft Soil Characteristic and Engineering Environment, Tianjin Chengjian University, Tianjin; 300384, China
  • [ 7 ] [Gan, Weijun]State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing; 100029, China

Reprint Author's Address:

  • [bao, yan]key laboratory of urban security and disaster engineering of ministry of education, beijing university of technology, beijing; 100124, china

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Source :

Geomatics and Information Science of Wuhan University

ISSN: 1671-8860

Year: 2020

Issue: 7

Volume: 45

Page: 1043-1051

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 15

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