Abstract: Artifical intelligence methods are implemented to simulate thebehaviors of axially and laterally loaded piles using the field observation tests data obtain ed f rom the drilled shafts and driven piles.The optimal neural network model is deve lop
Abstract: Artifical intelligence methods are implemented to simulate thebehaviors of axially and laterally loaded piles using the field observation tests data obtain ed f rom the drilled shafts and driven piles.The optimal neural network model is deve lop
文摘:根据钻孔桩和打击桩的原型试验观测的数据,运用人工智能方法对横向承载桩和轴向承载桩的工作特性进行模拟,并利用标准贯入试验(SPT-N)值和桩的几何特性等简单的输入数据,开发出相应的优化神经网络模型;然后,运用反向传播神经网络模型和广义回归神经网络模型分别对某工程的钢筋混凝土桩进行分析,并将求得的预测结果与常规设计法的结果进行比较,结果表明神经网络方法比传统方法有明显的优越性,在实际工程设计中具有重要的参考价值和现实意义。