地质缺陷体变形综合模量时变模型研究  

TIME SERIES EVOLUTION MODEL FOR DEFORMATION MODULUS OF GEOLOGICAL DEFECT

作　　者：顾冲时[1] 赖道平[1] 吴中如[1] 郑东健[1] 

机构地区：[1]河海大学水利水电工程学院,江苏南京210098

出　　处：《岩石力学与工程学报》2005年第17期3088-3093,共6页Chinese Journal of Rock Mechanics and Engineering

基　　金：国家重点基础研究发展规划(973)项目(2002CB412707);国家自然科学基金重点项目(50139030);教育部博士点基金(200200294005);教育部"跨世纪优秀人才培养计划"基金项目(2003512643)

摘　　要：地质体中常存在地质缺陷体,对工程的安全构成威胁;同时大规模的工程建设又会改变自然地质环境,可能引起一些地质缺陷体的恶化,对工程的长期健康运行带来较大的影响。地质缺陷体的变形综合模量是反映缺陷体变形、强度等力学性质的主要参数,因此,以地质缺陷体的变形综合模量为例,研究了其演变的规律;同时探讨了利用工程变形的实测资料建立地质缺陷体变形综合模量时变模型的原理,基于Elman回归神经网络,提出了建立地质缺陷体变形综合模量时变模型的具体实现方法;借助于工程实例分析,验证了所提出的建模方法的有效性。Geological defects existing extensively in foundations often do harms to the safety of buildings. At the same time, construction of large-scale structures leads to variation of the natural geological condition. And in some cases, the geological defects may deteriorate with the construction of structures, which will bring adverse impacts on the normal operation of the buildings. Deformation modulus of the geological defect is a key parameter that reflects its deformation and strength character, so deformation modulus of the geological defect is used to study its evolvement rules. The theory, which is to build time series evolution model for geological defect by use of monitoring data, is presented. Then based on Elman recurrent neural networks, the detailed process to build time series evolution model for geological defect is proposed. The application shows that the proposed method is effective.

关 键 词：岩石力学 地质缺陷体 变形综合模量 时变模型 演变 回归神经网络 

分 类 号：TU45[建筑科学—岩土工程]