Synthetical condition assessment of long span suspension bridge based on closeness degree and FAHP

基于贴近度与模糊层次分析的大跨悬索桥综合状态评估(英文)

Based on the theory of pattern recognition, the concept of closeness degree between fuzzy sets is brought into the condition assessment of long span bridges. Using the fuzzy analytic hierarchy process （FAHP）, a mathematical model of a multi-objective assessment of a long span suspension bridge is set up. An example is given to show the procedure in the synthetical condition assessment of the Runyang Suspension Bridge, which includes the hierarchical division, the definition of factor weights and fuzzy membership functions, and the calculation of closeness degrees, etc. The assessment combines both the data from the health monitoring system and the manual tests. The classification of evaluation items as well as the calculation of deterministic and nondeterministic items is presented. Compared with the traditional method of point rating, this method can better describe the discreteness of monitoring data and the fuzziness in the condition assessment.

基于模式识别理论,将模糊集贴近度的概念引入大跨桥梁状态评估中,利用模糊层次分析,建立起大跨悬索桥多目标评估的数学模型.以润扬大桥悬索桥的综合状态评估为例,介绍了评估的基本程序,包括评估指标的层次划分、指标权重的确定、模糊集隶属函数的定义以及贴近度的计算等.评估综合了健康监测系统的采集数据和人工监测结果2方面的信息,同时还给出了评估指标的分类方法和确定性指标、不确定性指标的计算方法.与传统的专家打分法相比,该方法更好地体现了监测信息的离散性、不确定性和评估过程的模糊性.