An Improved Strain Field Reconstruction Method Based on Digital Twin for Test Monitoring

Background For the static loading test in the aerospace field, conventional strain field reconstruction methods relying on finite element analysis (FEA) or test data are difficult to meet the accuracy requirements of test monitoring. Objective This study aims to construct a high-accuracy strain fiel...

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Bibliographic Details
Published in:Experimental mechanics Vol. 64; no. 4; pp. 519 - 537
Main Authors: Wang, B., Ke, X., Song, Z., Du, K., Bi, X., Hao, P., Zhou, C.
Format: Journal Article
Language:English
Published: New York Springer US 01-04-2024
Springer Nature B.V
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Summary:Background For the static loading test in the aerospace field, conventional strain field reconstruction methods relying on finite element analysis (FEA) or test data are difficult to meet the accuracy requirements of test monitoring. Objective This study aims to construct a high-accuracy strain field for real-time test monitoring. Methods An improved strain field reconstruction method based on digital twin (DT) named as DT-SFRM is proposed. The DT is built by data fusion of FEA results and test data, which combines the benefits of these data. The FEA conducted before formal test provides approximate strain field distribution, and the strain gauges data with high accuracy are used to modify FEA strain fields in real time. After that, the real-time DT is used to determine the possible risk regions of test articles. Finally, a large opening cylindrical shell (LOCS) buckling test is conducted to validate the advantages of DT-SFRM. Results Results show that the accuracy of DT-SFRM is much higher and less affected by the nonlinearity of test data than that of conventional methods. Compared with the time cost by conventional real-time FEA (about 50 min), the DT method only takes 9s to reconstruct strain field, and the possible risk regions predicted by DT-SFRM are more consistent with test buckling regions of LOCS than conventional methods. Conclusions The DT-SFRM is validated to have a higher accuracy and better monitoring effect, and it is more suitable for test monitoring of complex structures.
ISSN:0014-4851
1741-2765
DOI:10.1007/s11340-024-01035-3