Abstract
Structural deformation monitoring is vital to the safety of concrete structures. However, the distributed deformation of structures cannot be easily obtained using existing monitoring methods in civil engineering. To this end, this paper proposes a method to estimate the continuous deformation of concrete beams by utilizing the distributed optical fiber monitoring technology. In this method, optical fibers and a total station are used to obtain the strain and deformation distribution curves of a concrete beam, respectively. Subsequently, these curves are inputted to a back propagation network as training samples to learn their relationships. The results show that the deformation value of trained neural network is very close to that of the total station, with a maximum error of only 2.7% (0.3 mm). The linear regression analysis shows a goodness of fit R2 greater than 0.98, which confirms the reliability of the simulations results.
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Acknowledgments
The authors are grateful for the support of the Central University Major Achievement Transformation Project in Beijing under Grant No. ZDZH20141141301 and the National Natural Science Fund Committee and Shenhua Group Co., Ltd. Jointly Funded Key Projects under Grant No. U1261212, U1361210.
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Hou, GY., Li, ZX., Wang, KD. et al. Structural Deformation Sensing Based on Distributed Optical Fiber Monitoring Technology and Neural Network. KSCE J Civ Eng 25, 4304–4313 (2021). https://doi.org/10.1007/s12205-021-1805-z
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DOI: https://doi.org/10.1007/s12205-021-1805-z