基于云理论的隧道结构健康诊断方法

隧道健康状态诊断过程作为一个模糊系统,具有随机性和模糊性的特点.传统的隧道结构健康诊断方法无法妥善地将系统的模糊性和随机性关联在一起.基于此,针对隧道结构健康状态诊断系统的模糊性和随机性特点,提出了基于云理论的隧道结构健康状态诊断方法.首先,建立反映隧道结构健康状况等级评语集的正态云模型.然后,依据逆向云发生器原理,将隧道结构健康状态指标的监测数据的归一化结果值转化为隶属度云模型.将健康状态指标的重要性语言值转化为权重云,用于表征各健康状态指标的重要程度.最后,运用云理论的计算方法对隧道结构健康状态等级进行诊断,得到健康状态等级诊断结果的云模型.应用云模型的改进方法,对某市地铁2号线盾构隧道结构健康状态进行了诊断,极大提高了诊断结果的可视化和鲁棒性.

Health diagnosis method of shield tunnel structure based on cloud theory

The process of diagnosing tunnel health as a fuzzy system has the characteristics of randomness and fuzziness. Tradi-tional 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 trans-formed 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.