摘要
鉴于桩端阻力临界深度的特点及其在桩基设计中的重要性 ,本文提出了一种基于人工神经网络的端阻临界深度的预估方法。计算结果表明该方法不仅有效 ,而且能定量预估 ,计算精度较高 ,具有较好的应用前景。
in vicw of the characteristics of the critical depth of pile's tip resistance and its importance in the design of piles, the method of calculation for critical depth is presented on the basis of artificial neural networks. The results of calculation show the validity of method. It can calculatc quantitatively and has high precision,so it has a well prospect of application.
出处
《土工基础》
2000年第4期7-10,共4页
Soil Engineering and Foundation
关键词
桩端阻力
临界深度
人工神经网络
桩基
pile's tip resistance, critical depth, artificial ncural networks