基于人工神经网络模型的海工混凝土设计及优化

Design and Optimization of Marine Concrete Based on Artificial Neural Network Model

通过室内海水模拟试验及人工神经网络模型计算的方法对高氯离子含量海水环境下混凝土的各项耐久性能展开研究,引入海工高性能混凝土设计方案,对多组不同配合比的混凝土进行试验,利用实测数据建立氯离子在混凝土内的渗透模型。在相关设计规范的基础上结合数值模型计算结果提出海工混凝土配合比设计方案。

This paper studied on the durability of concrete under high chloride ion content seawater environment through indoor seawater simulation experiment and artificial neural network model calculation,introduced marine high performance concrete design plan,conducted experiment with multiple sets of different concrete mixing proportion,and used measured data to establish chlorine ion penetration model in concrete. At the same time,concrete durability evaluation system was established. On the basis of relevant design specifications,combined with numerical model calculation results,a marine concrete mixing proportion design plan was put forward,giving a reference for project designers.