Health diagnosis method of shield tunnel structure based on cloud theory
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摘要: 隧道健康狀態診斷過程作為一個模糊系統，具有隨機性和模糊性的特點.傳統的隧道結構健康診斷方法無法妥善地將系統的模糊性和隨機性關聯在一起.基于此，針對隧道結構健康狀態診斷系統的模糊性和隨機性特點，提出了基于云理論的隧道結構健康狀態診斷方法.首先，建立反映隧道結構健康狀況等級評語集的正態云模型.然后，依據逆向云發生器原理，將隧道結構健康狀態指標的監測數據的歸一化結果值轉化為隸屬度云模型.將健康狀態指標的重要性語言值轉化為權重云，用于表征各健康狀態指標的重要程度.最后，運用云理論的計算方法對隧道結構健康狀態等級進行診斷，得到健康狀態等級診斷結果的云模型.應用云模型的改進方法，對某市地鐵2號線盾構隧道結構健康狀態進行了診斷，極大提高了診斷結果的可視化和魯棒性.Abstract: The process of diagnosing tunnel health as a fuzzy system has the characteristics of randomness and fuzziness. Traditional risk assessment methodologies do not account for the fuzziness and randomness of risk. Therefore, using cloud theory, a new comprehensive risk assessment model was proposed for shield tunnels aimed at the fuzziness and randomness of health diagnosis system of shield tunnel structure. Firstly, the normal cloud model of evaluation terms is constructed, which reflects the health status of the tunnel structure. Then, the normalized value of monitoring data of tunnel structural health status index is transformed into membership cloud model by the principle of the reverse cloud generator. And the importance linguistic value of the health status index is transformed into the weight of the cloud which is used for characterization importance of health index. Finally, the cloud theory computing method is used to diagnose the health status of the tunnel structure, and the cloud model of health status is obtained. The improved method of cloud model was applied to diagnose the structural health status of shield tunnel of Metro Line 2, and this method greatly improves the visualization and robustness of the diagnosis results.
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Key words:
- tunnel engineering /
- health diagnosis /
- cloud theory /
- health state index /
- normal cloud /
- fuzzy system
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參考文獻
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