| 并行ENN-FEM分析力学参数对洞室群稳定性的影响 |
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| 引用本文： | 安红刚,冯夏庭,李邵军.并行ENN-FEM分析力学参数对洞室群稳定性的影响[J].岩土力学,2004,25(4):529-533. |
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| 作者姓名： | 安红刚 冯夏庭 李邵军 |
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| 作者单位： | 1. 同济大学 地下建筑与工程系，上海 200092；2. 中国科学院武汉岩土力学研究所 IRSM重点实验室 ，湖北 武汉 430071 |
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| 基金项目： | 国家重点基础发展规划(No. 2002CB412708)，国家自然科学重点基金(No. 59939190)资助 |
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| 摘 要： | 将洞室群视为一特定系统，采用并行进化神经网络有限元（ENN-FEM）方法建立该系统与岩体力学参数之间的相对应关系。采用遗传算法分析得到对围岩稳定性最不利的参数组合，对组合中任一参数可通过参数敏感度函数分析其敏感度，并由此综合评估各软岩力学参数对洞室群稳定性的影响，确定出关键岩层以给设计和施工提供指导性建议。实例计算表明该方法是合理的，且具有智能化和综合分析的优点。
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| 关 键 词： | 并行进化神经网络有限元 力学参数 洞室群 稳定分析 |
| 文章编号： | 1000-7598-(2004)04-0529-05 |
| 收稿时间： | 2003-01-14 |
| 修稿时间： | 2003年1月14日 |
Analysis of effects of mechanical parameters on stability of cavern group using parallel evolutionary neural network FEM |
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| AN Hong-gang,FENG Xia-ting,LI Shao-jun.Analysis of effects of mechanical parameters on stability of cavern group using parallel evolutionary neural network FEM[J].Rock and Soil Mechanics,2004,25(4):529-533. |
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| Authors: | AN Hong-gang FENG Xia-ting LI Shao-jun |
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| Institution: | 1. Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China; 2. Key Laboratory of Rock and Soil Mechanics, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China |
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| Abstract: | Treating the cavern group as a special system, the corresponding relationship between the system and the mechanical parameters of the rock mass is obtained by using the parallel evolutionary neural network FEM. The worst combination of parameters related to the stability of surrounding rock mass is searched out by genetic algorithms (GA). Through sensibility analysis, the synthetical evaluation of the effects of mechanical parameters of soft rock mass on the stability of cavern group is given. Moreover, the key rock mass could be determined to provide the design and construction with further instructive suggestions. The application shows that the method is reasonable and it has the advantages of intelligent and synthetical analysis. |
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| Keywords: | parallel evolutionary neural network FEM mechanical parameters cavern group stability analysis |
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