内河航道整治建筑物服役状态综合评价研究

Application of fuzzy bayesian network-based evaluation of channel improvement buildings in the upper Yangtze River

长江上游存在众多航道整治建筑物,综合评价其技术状况对航道建设规划重要理论价值与现实意义。基于模糊贝叶斯网络评价模型,对长江上游5座整治建筑物进行了验证评价,并通过数学期望公式量化建筑物具体技术状况值。结果表明:长江上游典型航道整治建筑物技术状况等级评价与相关维护管理部门对航道整治建筑物历年评价契合度较高,符合航道整治建筑物评价的客观规律,量化技术状况值满足工程实际状况,建议对整治建筑物技术状况量化值为50~70展开相应损毁部位的维修,70~80应加强观测、巡视。主槽浅区航深、航道整治建筑物坡比、坝身水毁体积比为航道整治建筑物技术状况评价的主要潜在影响因素,日常管理维护应重点关注冲刷坑发展态势、边坡稳定性、主槽浅区航道条件。

Numerous waterway improvement buildings exist in the upper reaches of the Yangtze River,and comprehensive evaluation of their technical conditions is important theoretical value and practical significance for waterway construction planning.Based on the fuzzy Bayesian network evaluation model,a validation evaluation of five improvement buildings in the upper reaches of the Yangtze River was carried out,and the specific technical condition values of the buildings were quantified by mathematical expectation formulas.The results show that the evaluation of the technical condition of typical waterway improvement buildings in the upper reaches of the Yangtze River fits well with the evaluation of waterway improvement buildings by the relevant maintenance management departments over the years,which is in line with the objective rules of waterway improvement building evaluation.The quantified technical condition value meets the actual condition of the project,and it is suggested that the repair of the corresponding damaged parts should be carried out between 50 and 70 for the quantified value of the technical condition of the renovated building,and observation and inspection should be strengthened between 70 and 80.The main channel shallow area navigation depth,the slope ratio of the channel improvement building,dam body water damage volume ratio are the main potential impact factors for the evaluation of the technical condition of the channel improvement building.The daily management and maintenance should focus on the development of the scour pit trend,slope stability,the main channel shallow area navigation conditions.