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作者:

Guo, Wen (Guo, Wen.) | Wang, Guoquan (Wang, Guoquan.) | Bao, Yan (Bao, Yan.) | Li, Pengfei (Li, Pengfei.) (学者:李鹏飞) | Zhang, Mingju (Zhang, Mingju.) (学者:张明聚) | Gong, Qiuming (Gong, Qiuming.) (学者:龚秋明) | Li, Rui (Li, Rui.) | Gao, Yang (Gao, Yang.) | Zhao, Ruibin (Zhao, Ruibin.) | Shen, Shuilong (Shen, Shuilong.)

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SCIE

摘要:

Shield tunneling under rivers often requires monitoring riverbed deformations in near real-time. However, it is challenging to measure riverbed deformation with conventional survey techniques. This study introduces a comprehensive method that uses the Global Positioning System (GPS) of the USA and the BeiDou navigation satellite system (BeiDou) of China to monitor riverbed deformation during the construction of twin tunnels beneath the Hutuo River in Shijiazhuang, China. A semi-permanent GPS network with one base station outside the river and six rover stations within the river was established for conducting near real-time and long-term monitoring. The distances between the base and the rover antennas are within two kilometers. The network was continuously operating for eight months from April to December 2018. The method is comprised of three components: (1) Monitoring the stability of the base station using precise point positioning (PPP) method, a stable regional reference frame, and a seasonal ground deformation model; (2) monitoring the relative positions of rover stations using the carrier-phase double-difference (DD) positioning method in near real-time; and (3) detecting abrupt and gradual displacements at both base and rover stations using an automated change point detection algorithm. The method is able to detect abrupt positional-changes as minor as five millimeters in near real-time and gradual positional-changes at a couple of millimeters per day within a week. The method has the flexibility of concurrent processing different GPS and BeiDou data sessions (e.g., every 15 minutes, 30 minutes, one hour, one day) for diffident monitoring purposes. This study indicates that BeiDou observations can also achieve few-millimeter-accuracy for measuring displacements. Parallel processing GPS and BeiDou observations can improve the reliability of near real-time structural deformation monitoring and minimize false alerts. The method introduced in this article can be applied to other urban areas for near real-time and long-term structural health monitoring.

关键词:

BeiDou change point detection GPS riverbed shield structural health monitoring twin tunnels

作者机构:

  • [ 1 ] [Guo, Wen]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, China Minist Educ, Beijing 100124, Peoples R China
  • [ 2 ] [Bao, Yan]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, China Minist Educ, Beijing 100124, Peoples R China
  • [ 3 ] [Li, Pengfei]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, China Minist Educ, Beijing 100124, Peoples R China
  • [ 4 ] [Zhang, Mingju]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, China Minist Educ, Beijing 100124, Peoples R China
  • [ 5 ] [Gong, Qiuming]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, China Minist Educ, Beijing 100124, Peoples R China
  • [ 6 ] [Wang, Guoquan]Univ Houston, Dept Earth & Atmospher Sci, Houston, TX 77204 USA
  • [ 7 ] [Li, Rui]China Railway 17th Bur Grp CO LTD, Engn Corp Ltd 6, Fuzhou 350000, Fujian, Peoples R China
  • [ 8 ] [Gao, Yang]Shijiazhuang Tiedao Univ, Struct Hlth Monitoring & Control Inst, Shijiazhuang 050043, Hebei, Peoples R China
  • [ 9 ] [Zhao, Ruibin]Tianjin Chengjian Univ, Sch Geol & Geomat, Tianjin 300384, Peoples R China
  • [ 10 ] [Shen, Shuilong]Shantou Univ, Coll Engn, Dept Civil & Environm Engn, Shantou 515063, Guangdong, Peoples R China

通讯作者信息:

  • 王国权

    [Bao, Yan]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, China Minist Educ, Beijing 100124, Peoples R China;;[Wang, Guoquan]Univ Houston, Dept Earth & Atmospher Sci, Houston, TX 77204 USA

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来源 :

APPLIED SCIENCES-BASEL

年份: 2019

期: 13

卷: 9

2 . 7 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:52

JCR分区:2

被引次数:

WoS核心集被引频次: 18

SCOPUS被引频次: 18

ESI高被引论文在榜: 0 展开所有

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