| 人工神经网络在岩体初始应力场反演中的应用 |
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| 引用本文： | 易达,徐明毅,陈胜宏,葛修润.人工神经网络在岩体初始应力场反演中的应用[J].岩土力学,2004,25(6):943-946. |
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| 作者姓名： | 易达 徐明毅 陈胜宏 葛修润 |
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| 作者单位： | 1. 上海交通大学,建筑工程与力学学院,上海,200240
2. 武汉大学,水利水电学院,湖北,武汉,430072 |
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| 摘 要： | 岩土工程问题的有限元分析一般需要考虑初始地应力场，而可供工程应用的初始应力值，主要靠少数实测资料。根据少数测点值，采用人工神经网络与有限元相结合的方法求解岩体初始应力场。通过算例说明：文中所提方法是合理的。
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| 关 键 词： | 神经网络 有限单元法 初始应力场 反分析 |
| 文章编号： | 1000-7598-(2004)06-0943-04 |
| 修稿时间： | 2003年1月5日 |
Application of artificial neural network to back analysis of initial stress field of rock masses |
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| YI Da,XU Ming-yi,CHEN Sheng-hong,GE Xiu-run.Application of artificial neural network to back analysis of initial stress field of rock masses[J].Rock and Soil Mechanics,2004,25(6):943-946. |
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| Authors: | YI Da XU Ming-yi CHEN Sheng-hong GE Xiu-run |
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| Abstract: | The initial stress field is very important in the finite element analysis of geotechnical engineering structure. Unfortunately, in the engineering practice, there are only a few messages of initial stresses obtained by the test in situ. A methodology of initial stress back analysis combining the artificial neural network and finite element theory is proposed. An example is studied; and the results show that the proposed method is reliable and can be applied to engineering practice. |
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| Keywords: | neural networks finite element method initial stress field back analysis |
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