Structural load identification based on strain response and experimental validation

Chunxiao Xu; Kai Luo; Shilong Qin; Yunfei Gao

doi:10.1117/12.3007150

25 October 2023 Structural load identification based on strain response and experimental validation

Chunxiao Xu, Kai Luo, Shilong Qin, Yunfei Gao

Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 128013M (2023) https://doi.org/10.1117/12.3007150
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China

Abstract

Accurate identification of external loads on structures is of great significance for structural health monitoring and intelligent operation and maintenance. Aiming at the problem of load identification with known position and unknown magnitude, a structural load identification method based on strain response is proposed. Firstly, the load coefficient matrix between the strain of the measuring point and the unit load is established by numerical simulation; Then the optimal arrangement of strain measuring points is obtained based on the D-optimal design principle, and strain gauges are pasted to the structure to collect strain information under actual working conditions; Finally, the load magnitude acting on the structure is calculated based on the load coefficient matrix and the measured strain. Taking the variable-section cantilever beam structure as an example, a unidirectional excitation is applied to its free end to cause bending deformation, and the strain response at two positions is used to identify the load acting on its free end. The experimental results demonstrate the effectiveness of the proposed method.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chunxiao Xu, Kai Luo, Shilong Qin, and Yunfei Gao "Structural load identification based on strain response and experimental validation", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 128013M (25 October 2023); https://doi.org/10.1117/12.3007150

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