【摘要】 通过对地下管线系统防灾规划基础资料的分析,构建了适合大城市地下管线抗震可靠性破坏程度评价因素集,并以粗糙集(RS)理论作为前置处理系统优化此指标结构;然后基于粗糙集(RS)理论与支持向量机(SVM)的优势互补,利用最小二乘支持向量机(LS-SVM)对地下管线系统震害破坏等级进行仿真模拟.最后,以泉州市地下管线实际情况为例进行分析并将该模型预测结果与地下管线震害分析的理论法计算结果以及BP神经网络模型预测结果对比分析,验证了所提方法的有效性.更多还原

【Abstract】 Based on the analysis of the foundation information of underground pipelines system,a suit of indexes’ system was set up to evaluate the earthquake damage degree of metropolitan underground pipelines system,and then taking RS for former disposal system to optimize the indexes structure.The LS-SVM model was used to evaluate the earthquake damage degree of underground pipelines based on the complementary superiority of RS and SVM each other.Finally,taking the underground pipelines in Quanzhou as an example,after doing lots of prediction experiments and comparing with other common prediction methods such as the theory method and BP neural network algorithm,the method proposed in the paper proved to be effective and feasible.更多还原