Global Response Reconstruction of a Full-Scale 3D Structure Model Using Limited Multi-Response Data
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13296-024-00875-y.pdf
Reference20 articles.
1. Byun, N., Lee, J., Lee, K., & Kang, Y.-J. (2021). Estimation of structural deformed configuration for bridges using multi-response measurement data. Applied Sciences, 11(9), 4000. https://doi.org/10.3390/app11094000
2. Byun, N., Lee, J., Won, J. Y., & Kang, Y. J. (2022). Structural responses estimation of cable-stayed bridge from limited number of multi-response data. Sensors, 22(10), 3745. https://doi.org/10.3390/s22103745
3. Cho, S., Yun, C.-B., & Sim, S.-H. (2015). Displacement estimation of bridge structures using data fusion of acceleration and strain measurement incorporating finite element model. Smart Structures and Systems, 15(3), 645–663. https://doi.org/10.12989/sss.2015.15.3.645
4. Choi, J. H., Lee, K. S., & Kang, Y. J. (2017). Quasi-static responses estimation of a cable-stayed bridge from displacement data at a limited number of points. International Journal of Steel Structures, 17(2), 789–800. https://doi.org/10.1007/s13296-017-6032-6
5. Deng, H., Zhang, H., Wang, J., Zhang, J., Ma, M., & Zhong, X. (2019). Modal learning displacement–strain transformation. Review of Scientific Instruments, 90(7), 075113. https://doi.org/10.1063/1.5100905
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