摘要
边坡稳定问题涉及到各类水利、港工、铁路和工业民用建筑工程。由于影响边坡稳定性的因素较多 ,而且其变形破坏机理复杂 ,边坡稳定性问题迄今仍然受到理论研究和工程实践的关注。本文采用非线性理论和方法来研究边坡的变形破坏机理 ,并建立稳定性评价模型。以分叉和突变理论引出突变级数来表征边坡的状态 ,并用神经网络从中获取稳定性评价和判断的知识 ,进而构建系统 ,并对各类边坡稳定状态做出分析评价。
Stability of slope is involved in the engineering of mining, railway, industry and civil construction. A slope has complex failure mechanism, and is affected by many factors, therefore more attention is paid by most of experts in the filed of mining and geotechnical engineering. In this paper, a catastrophe model to analyze and determine the stability of slope is built up, and the technique of neural networks is used to extract the knowledge to analyze and determine the stability of slope. It is proved that this method is effective for the evaluation of stability of slope.
出处
《水文地质工程地质》
CAS
CSCD
2002年第2期11-14,共4页
Hydrogeology & Engineering Geology
基金
国家杰出青年基金项目 ( 5 0 0 2 5 413)
