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Author:

Shi, Guoliang (Shi, Guoliang.) | Liu, Zhansheng (Liu, Zhansheng.) | Lu, Dechun (Lu, Dechun.) | Wang, Zeqiang (Wang, Zeqiang.) | Jiao, Zedong (Jiao, Zedong.) | Ji, Chengkuan (Ji, Chengkuan.) | Zhang, Zehua (Zhang, Zehua.)

Indexed by:

EI Scopus SCIE

Abstract:

In the process of construction of large-span spatial structures, there are many control elements, which need to carry on the dual control of internal force and shape. The traditional control method cannot measure the construction deviation completely and accurately, and there is a lag in information feedback. In this paper, spatio-temporal information is integrated into digital twin and a construction error control method is proposed for large-span spatial structures. By analyzing the fusion mechanism of spatio-temporal information and digital twin, a closed-loop control system for structural errors before, during and after construction is formed. Driven by the control architecture, the method of structure simulation analysis and real-time monitoring during construction is proposed, and the functional relationship between cable force and cable length is established. Based on point cloud data, construction error optimization detection method is proposed for structure formation state. The nonlinear relation between elevation change rate and cable force deviation is formed and the control measures of formation state error are obtained. The experimental model of cable truss structure is taken as an example to apply and verify the theoretical method. The construction error control twin platform is formed in the experiment. Driven by the platform, the twinning analysis and real-time monitoring of the construction process are carried out to control the error of the structure formation. The results show that this method integrates spatio-temporal information into digital twin to realize data integration processing. The optimized error detection method can save 30 % time cost and effectively control the construction error within 3 %. The integration of spatio-temporal information and digital twin provides theoretical and algorithm support for the intelligent management and control of large-span spatial structure construction.

Keyword:

Point cloud data Large-span spatial structure Digital twin Error control Space-time information

Author Community:

  • [ 1 ] [Shi, Guoliang]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Liu, Zhansheng]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Lu, Dechun]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Jiao, Zedong]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Ji, Chengkuan]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
  • [ 6 ] [Zhang, Zehua]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
  • [ 7 ] [Shi, Guoliang]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China
  • [ 8 ] [Liu, Zhansheng]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China
  • [ 9 ] [Lu, Dechun]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China
  • [ 10 ] [Jiao, Zedong]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China
  • [ 11 ] [Ji, Chengkuan]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China
  • [ 12 ] [Zhang, Zehua]Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China
  • [ 13 ] [Wang, Zeqiang]Beijing Bldg Construct Res Inst Co Ltd, Beijing 100039, Peoples R China

Reprint Author's Address:

  • [Liu, Zhansheng]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China

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Source :

JOURNAL OF BUILDING ENGINEERING

Year: 2024

Volume: 98

6 . 4 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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