基于贝叶斯网络的混凝土梁式桥病害风险评估  

DISEASE RISK ASSESSMENT OF CONCRETE BEAM BRIDGES BASED ON BAYESIAN NETWORK

作　　者：于连成 YU Liancheng(China Railway Construction Bridge Engineering Bureau Group Fourth Engineering Co.,Ltd.,Harbin 150090,China)

机构地区：[1]中铁建大桥工程局集团第四工程有限公司,哈尔滨150090

出　　处：《低温建筑技术》2024年第12期81-85,共5页Low Temperature Architecture Technology

摘　　要：近年来,桥梁作为交通运输网络中的关键环节,桥梁事故频发对公众的生命与财产安全构成了严重威胁,加强桥梁安全评估工作迫在眉睫。文中聚焦混凝土梁式桥所面临的复杂病害状况及多重影响因素,通过对《公路桥涵养护规范》等相关行业标准中涉及的病害因素进行科学提取与整合,构建桥梁病害的贝叶斯网络结构框架。利用专家评判的模糊信息,将它转化为精确的节点概率值,实现对桥梁病害风险的量化评估。此评估模型不仅能有效反映梁式桥的健康状况,而且为桥梁病害的早期识别与风险防控提供了科学依据。Bridges,as critical components of transportation networks,have seen a rising number of accidents in recent years,posing a severe threat to public safety and property.Strengthening bridge safety assessments has become an urgent task.This paper focuses on the complex damage conditions and multiple influencing factors faced by concrete beam bridges.By scientifically extracting and integrating damage factors from industry standards such as the"Highway Bridge and Culvert Maintenance Code,"the study constructs a Bayesian network framework for bridge damage.Using fuzzy information provided by expert judgment,the model converts this data into precise node probability values,enabling the quantification of bridge damage risks.This assessment model not only effectively reflects the health condition of beam bridges but also provides a scientific basis for early identification of bridge damage and risk prevention.

关 键 词：贝叶斯网络 混凝土梁式桥 故障树法 桥梁病害风险 桥梁评估方法 

分 类 号：TU375[建筑科学—结构工程]