Research progress and prospect of digital twin in bridge engineering

被引:9
作者
Yang, Yuanliang [1 ]
Zhu, Yichen [1 ]
Cai, C. S. [1 ,2 ]
机构
[1] Southeast Univ, Sch Transportat, 2 Southeast Univ Rd, Nanjing 210096, Jiangsu, Peoples R China
[2] Louisiana State Univ, Deptartment Civil & Environm Engn, Baton Rouge, LA USA
基金
中国国家自然科学基金;
关键词
bridge digital twin; bridge information model; bridge design optimization; intelligent bridge construction; life cycle bridge maintenance; MANAGEMENT; INSPECTION; DRIVEN; DESIGN; MODEL;
D O I
10.1177/13694332231218764
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The concept of digital twins in bridge engineering is still vague and even confused with the Bridge Information Model (BrIM). Therefore, this study provides a detailed review of 42 papers related to digital twins in bridge engineering, focusing on a proper definition, key features and creation techniques for bridge digital twin (BDT). The paper also compares BDT and BrIM from the perspectives of their elements, features, fidelity, services provided, and degree of development. The applications of BDT at different life cycle stages are identified, and the related technologies are analyzed in detail. The results show that the research clusters of BDT are divided into geometric model generation, finite element model updating, and management and are focused on the operation and maintenance phase while lacking attention in the design and construction phase. Besides, a reference framework of BDT based on the life cycle of bridges is proposed, and directions for future research are suggested.
引用
收藏
页码:333 / 352
页数:20
相关论文
共 91 条
[1]   Framework for Developing IFC-Based 3D Documentation from 2D Bridge Drawings [J].
Akanbi, Temitope ;
Zhang, Jiansong .
JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2022, 36 (01)
[2]   Measuring Bridge Construction Efficiency Using the Wireless Real-Time Video Monitoring System [J].
Bai, Yong ;
Huan, Jun ;
Kim, Seonghoon .
JOURNAL OF MANAGEMENT IN ENGINEERING, 2012, 28 (02) :120-126
[3]   Experimental verification for load rating of steel truss bridge using an improved Hamiltonian Monte Carlo-based Bayesian model updating [J].
Baisthakur, Shubham ;
Chakraborty, Arunasis .
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2021, 11 (04) :1093-1112
[4]   BIM Approach for Modeling Airports Terminal Expansion [J].
Biancardo, Salvatore Antonio ;
Viscione, Nunzio ;
Oreto, Cristina ;
Veropalumbo, Rosa ;
Abbondati, Francesco .
INFRASTRUCTURES, 2020, 5 (05)
[5]   Digital transformation of bridges inspection, monitoring and maintenance processes [J].
Bittencourt, T. N. ;
Futai, M. M. ;
da Conceicao Neto, A. P. ;
Ribeiro, D. M. .
BRIDGE MAINTENANCE, SAFETY, MANAGEMENT, LIFE-CYCLE SUSTAINABILITY AND INNOVATIONS, 2021, :11-30
[6]   Design and implementation of a smart infrastructure digital twin [J].
Broo, Didem Gurdur ;
Bravo-Haro, Miguel ;
Schooling, Jennifer .
AUTOMATION IN CONSTRUCTION, 2022, 136
[7]   A Framework for Using Data as an Engineering Tool for Sustainable Cyber-Physical Systems [J].
Broo, Didem Gurdur ;
Schooling, Jennifer .
IEEE ACCESS, 2021, 9 :22876-22882
[8]   Analytical review and evaluation of civil information modeling [J].
Cheng, Jack C. P. ;
Lu, Qiqi ;
Deng, Yichuan .
AUTOMATION IN CONSTRUCTION, 2016, 67 :31-47
[9]  
Chipman T, 2016, FHWAHIF16011 OFF BRI
[10]   Building Information Modeling for Bridges and Structures: Outcomes and Lessons Learned from the Steel Bridge Industry [J].
Costin, Aaron ;
Hu, Hanjin ;
Medlock, Ronald .
TRANSPORTATION RESEARCH RECORD, 2021, 2675 (11) :576-586