摘要
建立了一个预测扩底桩单桩竖向极限承载力的BP神经网络模型。该模型以桩长、桩径、扩底高度、扩底直径以及桩周土体参数为输入层神经元，经过30个扩底桩资料的训练，并以另外9根桩对网络进行检验。预测结果与实测结果较为吻合，表明BP神经网络在扩底桩单桩竖向极限承载力预测方面是有效的。
In this paper,vertical ultimate bearing capacity of pile with bulb shaped base by using artificial neural networks. Length of pile, diameter of pile, height of bulb shaped base, diameter of bulb shaped base and parameter of soil around pile is the input nerve cell. After training by data of 30 piles, this network is examined by 9 piles. According to result of comparing prediction and measure, it shows that prediction of vertical ultimate bearing capacity of pile with bulb shaped base by using artificial neural networks is effective.
出处
《矿业研究与开发》
北大核心
2006年第B11期57-59,共3页
Mining Research and Development
关键词
BP神经网络
误差反传播
扩底桩
竖向极限承载力
BP neural network, Error back - propagation, Pile with Bulb shaped base, Vertical ultimate bearing capacity
