工程科学学报，第39卷，第5期：794-801,2017年5月 Chinese Journal of Engineering,Vol.39,No.5:794-801,May 2017 D0L:10.13374/j.issn2095-9389.2017.05.019;htp:/journals.ustb.edu.cn 基于云理论的隧道结构健康诊断方法 傅鹤林)，黄震)四，黄宏伟)，张加兵)，尹光明) 1)中南大学土木工程学院，长沙4100752)同济大学土木工程学院，上海2000923)长沙市轨道交通集团有限公司，长沙410133 ☒通信作者，E-mail:hzcslg@163.com 摘要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. 关键词隧道工程；健康诊断；云理论；健康状态指标；正态云；模糊系统 分类号U25 Health diagnosis method of shield tunnel structure based on cloud theory FU He-lin),HUANG Zhen,HUANG Hong-wei2),ZHANG Jia-bing,YIN Guang-ming 1)School of Civil Engineering,Central South University,Changsha 410075,China 2)College of Civil Engineering,Tongii University,Shanghai 200092,China 3)Changsha Metro Group Co.,Ltd.,Changsha 410133,China Corresponding author,E-mail:hzcslg@163.com ABSTRACT 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. KEY WORDS tunnel engineering;health diagnosis;cloud theory;health state index;normal cloud;fuzzy system 作为一项重要的基础设施，隧道工程在交通运输、管道运输、地下排水、区域经济等方面发挥着巨大效 收稿日期：2016-07-19 基金项目：国家自然科学基金重点资助项目(51538009)：国家自然科学基金资助项目(51578550)：研究生自主探索创新资助项目 (2017zzts152)工程科学学报,第 39 卷,第 5 期:794鄄鄄801,2017 年 5 月 Chinese Journal of Engineering, Vol. 39, No. 5: 794鄄鄄801, May 2017 DOI: 10. 13374 / j. issn2095鄄鄄9389. 2017. 05. 019; http: / / journals. ustb. edu. cn 基于云理论的隧道结构健康诊断方法 傅鹤林1) , 黄 震1) 苣 , 黄宏伟2) , 张加兵1) , 尹光明3) 1) 中南大学土木工程学院, 长沙 410075 2) 同济大学土木工程学院, 上海 200092 3) 长沙市轨道交通集团有限公司, 长沙 410133 苣 通信作者,E鄄mail:hzcslg@ 163. com 摘 要 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. 关键词 隧道工程; 健康诊断; 云理论; 健康状态指标; 正态云; 模糊系统 分类号 U25 Health diagnosis method of shield tunnel structure based on cloud theory FU He鄄lin 1) , HUANG Zhen 1) 苣 , HUANG Hong鄄wei 2) , ZHANG Jia鄄bing 1) , YIN Guang鄄ming 3) 1) School of Civil Engineering, Central South University, Changsha 410075, China 2) College of Civil Engineering, Tongji University, Shanghai 200092, China 3) Changsha Metro Group Co. , Ltd. , Changsha 410133, China 苣 Corresponding author, E鄄mail: hzcslg@ 163. com ABSTRACT The process of diagnosing tunnel health as a fuzzy system has the characteristics of randomness and fuzziness. Tradi鄄 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鄄 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. KEY WORDS tunnel engineering; health diagnosis; cloud theory; health state index; normal cloud; fuzzy system 收稿日期: 2016鄄鄄07鄄鄄19 基金项目: 国家自然科学基金重点资助项目( 51538009 );国家自然科学基金资助项目 ( 51578550 ); 研究生自主探索创新资助项目 (2017zzts152) 作为一项重要的基础设施,隧道工程在交通运输、 管道运输、地下排水、区域经济等方面发挥着巨大效