摘要
为找出适用于桥梁桥基防渗的最优方案,本文以土料夯实、浆砌石和混凝土三种措施为例,通过监测不同措施下的土壤入渗速率,采用灰色聚类SPA理论和模糊神经网络模型对不同防渗方案进行了综合评价,从方案的实施合理性、方案的经济性和对环境的影响性三个方面构建了桥基防渗方案综合评价体系,结果表明:不同方案下的土壤入渗速率有所差别,其中混凝土措施与浆砌石措施下的土壤入渗速率基本一致,在灰色聚类和模糊神经网络分析下,土料夯实措施效果为一般等级,浆砌石措施和混凝土措施的效果为较好等级,同时模糊神经网络模型的运行速率较优。
In order to find the optimal solution for the anti-seepage of bridge foundation, this paper took soil compaction, masonry and concrete as examples to monitor the soil infiltration rate under different measures. In this paper, the grey clustering SPA theory and fuzzy neural network model were used to comprehensively evaluate different anti-seepage schemes. The comprehensive evaluation system of the bridge foundation anti-seepage scheme was constructed from three aspects: the rationality of the implementation of the scheme, the economy of the scheme and the impact on the environment. The results showed that: the soil infiltration rates under different schemes are different, and the soil infiltration rates under concrete measures and masonry measures are basically the same.Under the analysis of grey clustering and fuzzy neural network, the effect of soil compaction measures is in the general grade, the effect of masonry measures and concrete measures is good grade, and the running rate of the fuzzy neural network model is better.
作者
宋紫朝
Song Zizhao(Beijing Municipal Road and Bridge Management and Maintenance Group Co.,Ltd.,Beijing 100000,China)
出处
《科学技术创新》
2022年第13期141-144,共4页
Scientific and Technological Innovation
关键词
桥基
防渗
模糊神经网络
灰色聚类SPA
浆砌石
Bridge foundation
Anti-seepage
Fuzzy neural network
Grey clustering SPA theory
Masonry
