摘要
在深入研究现有桥梁结构承载力评价方法的基础上,把模糊理论与人工神经网络技术结合起来应用于大跨度钢管混凝土拱桥的承载力评价。建立了模糊神经网络评价模型,通过样本训练,获取评价专家的经验知识和直觉思维。经实际工程检验,评价结果直观简单,较好地反映了在役桥梁结构的承载力状况。
This paper further researches the exiting evaluation methods of the load bearing of bridge construction, and combine fuzzy .theory with the technology of neural network to evaluate the load bearing of the long-span CFST arch bridge, set up a Fuzzy-neural Network model, this model can attain expert＇s experience and instinct thought by network stylebook training. The method is proved feasible and practical through being applied in the practical project, with an intuitionist and simple result of evaluation reflecting the load bearing status of existing bridge.
出处
《中南公路工程》
2006年第3期122-124,共3页
Central South Highway Engineering
