Structural model updating of small damages using response surface method

Linren Zhou; Huan Song; Bo Wu

doi:10.1117/12.2262265

19 April 2017 Structural model updating of small damages using response surface method

Linren Zhou, Huan Song, Bo Wu

Proceedings Volume 10169, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017; 101692W (2017) https://doi.org/10.1117/12.2262265
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States

Abstract

Structural measurements for model updating are limited, and the global responses are usually not sensitive to the local and small damages. Therefore, it is full of challenge to identify small and local damages using global responses of structure. The updated parameters have different effects on the structural response. In the model updating, the large sensitivity parameters converge quickly and relatively small sensitivity parameters cannot be effectively corrected. In this study, the effects of structural measurements on the model updating results are investigated. The method to update the parameters with large difference in sensitivity based on response surface method is proposed. Firstly, the samples of small sensitivity parameter are adjusted to generate new samples according to the difference of sensitivities. Then, response surface models are constructed using the new samples and the original characteristic information. At last, model updating is carried out based on the new response surface models and the updated results inversely computed to get the final results. The numerical simulation of a space truss structure is adopted to verify the efficiency and feasibility of the method.

Citation Download Citation

Linren Zhou, Huan Song, and Bo Wu "Structural model updating of small damages using response surface method", Proc. SPIE 10169, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017, 101692W (19 April 2017); https://doi.org/10.1117/12.2262265

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