| 基于人工神经网络的强夯有效加固深度预估 |
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| 引用本文： | 朱建凯,陆新. 基于人工神经网络的强夯有效加固深度预估[J]. 地下空间与工程学报, 2003, 23(1): 56-58 |
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| 作者姓名： | 朱建凯 陆新 |
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| 作者单位： | 后勤工程学院军事土木工程系,重庆,400041 |
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| 摘 要： | 当粘性土地基用强夯进行处理时对其处理效果的影响因素进行了总结 ,并利用神经网络对强夯加固效果进行了预估 ,证明了由于神经网络能处理高度非线性问题而能够较好地预估强夯的加固效果 ,它在预估强夯加固效果的同时还可以进行施工参数的优化设计
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| 关 键 词： | 神经网络 强夯 加固深度 |
| 文章编号： | 1001-831X(2003)01-0056-03 |
| 修稿时间： | 2002-10-24 |
Prediction of Effective Strengthening Depth of Dynamic Consolidation by Neural Network |
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| ZHU Jian kai et al. Prediction of Effective Strengthening Depth of Dynamic Consolidation by Neural Network[J]. Chinese Journal of Underground Space and Engineering, 2003, 23(1): 56-58 |
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| Authors: | ZHU Jian kai et al |
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| Affiliation: | ZHU Jian kai et al |
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| Abstract: | The factors influencing the effect of dynamic consolidation are summarized and the results are predicted by the neural network. The calculated results show that by this method, the effect of dynamic consolidation due to its function of solving the highly nonlinear problem can be predicted. At the same time, with the neural network, the construction parameter can be optimized. |
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| Keywords: | neural network dynamic consolidation strengthening depth |
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