Hybrid substructure interacting method fusing targeted sensing data and finite element models

Yixuan Chen,Jian Zhang, Feiyu Wang, Chenhao Gao

Engineering Structures(2024)

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Abstract
Achieving full integration of inspection and monitoring data with finite element models for structural condition assessment remains a persistent challenge in engineering. This paper introduces a novel approach aimed at enhancing structural analysis by amalgamating inspection and monitoring data with finite element models. On one hand, a hybrid substructure method was proposed. Initially, mathematical equations linking monitoring data with finite element mechanical information are established. Subsequently, a self-adaptive sparsity matching tracking algorithm is employed to attain highly accurate interface constraints for critical regions. Consequently, Finite element model updating was carried out in key areas based on monitoring data. On the other hand, an interacting analysis theory between substructures and the main structure is developed. This enables nonlinear analysis of substructures and equivalent linear elastic analysis of the main structure, ultimately achieving refined structural assessment. The feasibility of this analysis method is confirmed through experiments of concrete beam and steel arch bridge models. This approach enables a comprehensive integration of monitoring data with finite element models, facilitating detailed substructure analysis and refined overall structural assessment.
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Key words
Targeted sensing,Twin substructure,Structural health monitoring,Data fusion,Interacting analysis
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