摘要
隧道结构的服役状况评价结果直接影响隧道养护决策,为客观合理反映运营隧道衬砌的服役状况,基于已有研究成果和专家知识,运用层次分析法建立了由目标层、一级指标层和二级指标层构成的隧道结构服役状况评价指标体系,确定了隧道衬砌服役状况的4个评价等级。在此基础上,采用贝叶斯网络结构学习TAN方法并结合专家经验知识,建立了隧道衬砌服役状况评价的贝叶斯网络模型,并结合某隧道工程实例验证了该方法的有效性。结果表明,基于贝叶斯网络的评价模型能较好地反映隧道衬砌结构的服役状况。利用贝叶斯网络进行推理分析,能考虑评价指标之间的交互性,使得诊断结果更符合客观实际。
The service status evaluation results of the tunnel structure directly affect the tunnel maintenance decisionmakings in order to objectively and reasonably reflect the service status of the tunnel lining,based on the existing research results and expert knowledge,the hierarchical analysis method is used to establish a tunnel structure service evaluation index system composed of the target layer,first-level indicator layer,and second-level indicator layer,and determines the 4 evaluation levels of the tunnel lining service status.On this basis,a Bayesian network model for tunnel lining service status evaluation is established by using Bayesian network structure to learn TAN method and combined with expert experience and knowledge,and the effectiveness of the method is verified by combining a tunnel engineering example.The results show that the evaluation model based on Bayesian network can better reflect the service status of tunnel lining structure.The reasoning analysis using Bayesian network can consider the interactivity between evaluation indicators»so that the diagnostic results are more in line with objective reality.
作者
张万平
丁祖德
任志华
计霞飞
ZHANG Wanping;DING Zude;REN Zhihua;JI Xiafei(Faculty of Civil Engineering and Mechanics,Kunming University of Science and Technology,Kunming Yunnan 650500,China;不详)
出处
《工业安全与环保》
2023年第5期29-33,共5页
Industrial Safety and Environmental Protection
基金
云南省交通厅科技项目(云交科2017[A]04)。
关键词
隧道工程
服役状况
评价体系
贝叶斯网络
tunnel engineering
service status
evaluation system
Bayesian network
