基于多智能方法的桩承载力预测研究

Research on Bearing Capacity Prediction Based on the Intelligent Method

针对大型桥梁这类大型结构项目引入科学有效的智能方法不但可以保证结构监测质量,同时能够提高损伤估计结果的可靠性。在现有的相关神经网络理论模型应用研究成果的基础上,结合多种人工智能方法对大型桥梁桩承载力理论进行了系统的研究,建立了基于遗传的神经网络理论及其模型,运用Matlab编写程序实现了此应用方法对桩承载力进行了可行性分析和预测研究。

Based on the recent research, the intelligent method is not only widely used to research the bearing capacity and settlement, but also developed. The validity of the models has also been proved by some civil engineering practices. The research is focused on the bearing capacity and settlement characteristics of rigid pile composite foundation. This paper built the model which based on the GA-BP neural net, and used Matlab to programming and realization it.