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人工神经网络在岩体初始应力场反演中的应用
Application of artificial neural network to back analysis of initial stress field of rock masses
【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。
【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.
【关键词】 神经网络;
有限单元法;
初始应力场;
反分析;
【Key words】 neural networks; finite element method; initial stress field; back analysis;
【Key words】 neural networks; finite element method; initial stress field; back analysis;
- 【文献出处】 岩土力学 ,Rock and Soil Mechanics , 编辑部邮箱 ,2004年06期
- 【分类号】TU452
- 【被引频次】92
- 【下载频次】665