Digital twin - based model updating method for mechanical behaviors analysis of cable truss structure

• Published in: Journal of constructional steel research Vol. 221; p. 108917
• Main Authors: Shi, Guoliang, Liu, Zhansheng, Lu, Dechun, Zhang, Qingwen, Wang, Zeqiang, Zhao, Yifeng
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.10.2024
• Subjects: Cable truss structure; Damage identification; Digital twin; Mechanical behaviors; Model update; Cable truss structure; Damage identification; Mechanical behaviors; Digital twin; Model update
• ISSN: 0143-974X
• DOI: 10.1016/j.jcsr.2024.108917

Establishing a high-fidelity twin model and accurately analyzing instant mechanical behaviors are important ways to improve structural reliability. This study proposes a digital twin - based model updating method for mechanical behaviors analysis of cable truss structure. A mechanical behaviors analysis architecture integrating structural entity in physical space, structural twin model and model dynamic updating algorithms is developed. A computational method suitable for model updating of cable truss structures is developed by integrating the finite element model with the programming language. The twin modelling approach is developed by using the test structure as a comparative target for parameter correction. Relying on the twin model, the structural mechanical behaviors analysis is carried out. The effectiveness of the analysis method is verified by taking the cable truss structure as an example. The objective function and optimization parameters required for model updating are constructed to carry out mechanical behaviors analysis and damage identification of the structure. The results show that the updated twin model can accurately match the measured data of the mechanical behaviors of the structure. For the static and dynamic response of the structure, the simulation accuracy of the twin model is above 94%. For structural damage identification, the type, location and extent of damage can be efficiently obtained by comparing the parameters before and after the update. •A digital twin-based mechanical behaviors analysis architecture integrating structural entities, twin model and model dynamic updating algorithms is developed.•For the structural twin modelling, a method of modifying the initial model from both geometric and physical levels is proposed.•The model updating algorithm and calculation program are systematically established, and the evaluation index of model fidelity is given.•The static test, cable breaking test and damage identification test are carried out to verify the effectiveness of model update method.