传统的分析方法研究混凝土的动态力学特性有其局限性,尝试从智能方法入手,运用神经网络和专家系统,从混凝土动态强度和破坏形态两个方面分析,建立混凝土动态力学特性分析集成系统,为混凝土的动态力学特性研究提供一条新的研究方法。从混凝土动态强度的影响因素分析,根据已有的试验数据,通过不同神经网络方法分别预测了混凝土的动态强度,对比分析了各个预测模型的特点,通过编制人机交互式界面,实现了混凝土动态力学特性智能集成系统的应用。
The traditional analysis of dynamic mechanical properties of concrete has its limitations, it attempts to start from the smart method using neural networks and expert systems, analysis the concrete dynamic strength and failure modes, establish the analysis and integrated system of dynamic mechanical properties of concrete, provide a new method for the study of the dynamic mechanical properties of concrete.From the impacts of concrete dynamic strength analysis,based on the existing experimental data,through different neural networks predicted dynamic strength of concrete, comparative analysis the characteristics of each prediction model, through program the man-machine interactive interface, to achieve the system of concrete dynamic mechanical properties applications.