Transactions of Nanjing University of Aeronautics & Astronautics
Optimized Fuzzy Clustering Method for Health Monitoring of Shield Tunnels
- Article
- Figures
- Metrics
- Preview PDF
- Reference
- Related
- Cited by
- Materials
Abstract:
Since health monitoring of shield tunnels generally employs multiple sensors belonging to different types, a fine analysis on massive monitoring data, as well as further quantitative health grading, is really challenging. An optimized fuzzy clustering analysis method based on the fuzzy equivalence relation is proposed for health monitoring of shield tunnels. Clustering results are autogenerated by using fuzzy similarityvalued map. The results follow the idea of unsupervised classification. Moreover, a onvenient new health index HI is proposed for a fast tunnelhealth grading. A case study on Nanjing Yangtze River Tunnel is presented to validate this method. Three types of indicators, namely soil pressure, pore water pressure and steel strain, are used to develop the clustering model. The clustering results are verified by analyzing the engineering geological conditions; the validity and the efficacy of the proposed method are also emonstrated. Further, the fuzzy clustering analy sis also represents a potential for identifying abnormal monitoring data. This investigation indicates the fuzzy clustering analysis method is capable of characterizing the fuzziness of tunnel health, and beneficial to clarify the tunnel health evaluation uncertainties.
Keywords:
Project Supported:
the National Natwal Science Foundation of China (No.40902076), the Science Fo undation of Jiangsu Province (No.BK20141224).
Clc Number:
Mobile website
