Health state evaluation of shield tunnel SHM using fuzzy cluster method

Fa Zhou; Wei Zhang; Ke Sun; Bin Shi

doi:10.1117/12.2083820

1 April 2015 Health state evaluation of shield tunnel SHM using fuzzy cluster method

Fa Zhou, Wei Zhang, Ke Sun, Bin Shi

Proceedings Volume 9437, Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015; 94371J (2015) https://doi.org/10.1117/12.2083820
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2015, San Diego, California, United States

Abstract

Shield tunnel SHM is in the path of rapid development currently while massive monitoring data processing and quantitative health grading remain a real challenge, since multiple sensors belonging to different types are employed in SHM system. This paper addressed the fuzzy cluster method based on fuzzy equivalence relationship for the health evaluation of shield tunnel SHM. The method was optimized by exporting the FSV map to automatically generate the threshold value. A new holistic health score(HHS) was proposed and its effectiveness was validated by conducting a pilot test. A case study on Nanjing Yangtze River Tunnel was presented to apply this method. Three types of indicators, namely soil pressure, pore pressure and steel strain, were used to develop the evaluation set U. The clustering results were verified by analyzing the engineering geological conditions; the applicability and validity of the proposed method was also demonstrated. Besides, the advantage of multi-factor evaluation over single-factor model was discussed by using the proposed HHS. This investigation indicated the fuzzy cluster method and HHS is capable of characterizing the fuzziness of tunnel health, and it is beneficial to clarify the tunnel health evaluation uncertainties.

Citation Download Citation

Fa Zhou, Wei Zhang, Ke Sun, and Bin Shi "Health state evaluation of shield tunnel SHM using fuzzy cluster method", Proc. SPIE 9437, Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015, 94371J (1 April 2015); https://doi.org/10.1117/12.2083820

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