基于融合WM算法的Mamdani型模糊推理的板桥损伤定量分析

Quantitative analysis of slab bridge damage based on Mamdani fuzzy reasoning withfusion of WM algorithm

为对板桥局部位置的损伤程度进行定量分析,提出1种基于融合WM算法的Mamdani型模糊推理板桥损伤定量分析方法,探讨影响面指标和损伤程度之间的独特联系,并通过MIDAS及Python模拟计算并分析板的损伤程度。研究结果表明:模糊逻辑系统具有较为出色的记忆能力。当融合WM算法到模糊逻辑系统中时,不论是单点损伤还是多点损伤,都能对板桥的损伤程度进行准确识别;当未融合WM算法时,由于其模糊规则没有进行置信度计算,将错误的规则也计算在内,最终导致定量结果精度下降。研究结果可为板桥结构的损伤评估和维护策略提供较为科学准确的参考。

In order to quantitatively analyze the damage degree of local position of the slab bridge,a quantitative analysis method of slab bridge damage based on Mamdani type fuzzy reasoning with the fusion of WM algorithm was proposed.The unique relationship between the influence surface index and the damage degree was explored,and the damage degree of slab was calculated and analyzed by MIDAS and Python simulation.The results show that the fuzzy logic system has a very good memory ability.When the WM algorithm is integrated into the fuzzy logic system,the damage degree of slab bridge can be accurately identified regardless of single-point damage or multi-point damage.When the WM algorithm is not integrated,because its fuzzy rules do not perform the confidence calculation,the wrong rules are also calculated,which eventually leads to a decrease in the accuracy of quantitative results.The research results can provide a more scientific and accurate basis for the damage assessment and maintenance strategy of the slab bridge structure.