基于神经网络的区域地壳稳定性评价
|
摘要
在重大工程的选址中,由于多种影响因素的控制和复杂的非线性相关关系,如何建立统一的数学模型,充分利用已有地质资料,对区域地壳稳定性做出早期的准确评价一直是一个难题。基于人工神经网络方法,建立了区域地壳稳定性评价的数学模型,并介绍了计算方法。以沂沭断裂带区域地壳稳定性定量评价为例,介绍了模型结构和关联系数矩阵的确定方法,在模型中,考虑地形地貌、含水层岩性、地下水活动、地质构造、地震活动等多种因素的影响,对区域地壳稳定性进行了定量评价。同时,选取多种运算参数,分析了模型参数对运算的影响。依据计算结果,对研究区的铁路选线和今后的研究工作提出了几点认识和建议。
Because the stability of regional crust was controlled by many factors,and the nonlinear correlation among influencing factors was complicated,it was difficult to construct a mathematical model by traditional methods to evaluate the stability precisely during geological surveying,and many geological data could not be applied adequately.Based on artificial neural network(ANN),the evaluating model of regional crust stability was established,and the calculating method was investigated.The structure of evaluating model was introduced by taking example for Yishu faulted zone,and the correlative coefficient matrices were explained.In this model,topography,lithology of aquifer,underground water,geological structure and seismic activity were considered.So the regional crust stability in Yishu faulted zone was calculated as a basis of this model.Furthermore,model preferences were discussed and their influence on the calculated result was analyzed.According to the calculated results,some advice for the construction of railway in this area and further researches were proposed.
Because the stability of regional crust was controlled by many factors,and the nonlinear correlation among influencing factors was complicated,it was difficult to construct a mathematical model by traditional methods to evaluate the stability precisely during geological surveying,and many geological data could not be applied adequately.Based on artificial neural network(ANN),the evaluating model of regional crust stability was established,and the calculating method was investigated.The structure of evaluating model was introduced by taking example for Yishu faulted zone,and the correlative coefficient matrices were explained.In this model,topography,lithology of aquifer,underground water,geological structure and seismic activity were considered.So the regional crust stability in Yishu faulted zone was calculated as a basis of this model.Furthermore,model preferences were discussed and their influence on the calculated result was analyzed.According to the calculated results,some advice for the construction of railway in this area and further researches were proposed.
引文
[1]肖有才.平顶山矿区地质勘探与建井工程地质条件分析[J].南京工业大学学报,2003,25(4):89–92.
[2]庄乾城,罗国煜,李晓昭,等.南京地铁稳定性优势面理论分析[J].高校地质学报,2002,8(4):453–459.
[3]徐卫亚,蒋中明,石安池.基于模糊集理论的边坡稳定性分析[J].岩土工程学报,2003,25(4):409–413.
[4]刘之葵,梁金城,朱寿增.岩溶区含溶洞岩石地基稳定性分析[J].岩土工程学报,2003,25(5):629–633.
[5]陈艳华,朱庆杰,苏幼坡.基于格里菲斯准则的地下岩体天然裂缝分布的有限元模拟[J].岩石力学与工程学报,2003,22(3):364–369.
[6]李爱兵,周先明.露天采场三维楔形滑坡体的稳定性研究[J].岩石力学与工程学报,2002,21(1):52–55.
[7]孔宪京,刘君,韩国城.面板堆石坝模型动力破坏试验与数值仿真分析[J].岩土工程学报,2003,25(1):26–30.
[8]符文熹,聂德新,尚岳全,等.地应力作用下软弱层带的工程特性研究[J].岩土工程学报,2002,24(5):584–587.
[9]朱庆杰,苏幼坡.基岩条件对地震影响系数的影响[J].岩土工程学报,2004,26(2):198–201.
[10]朱庆杰,刘廷权,张秀彦.唐山市岩溶塌陷的神经网络预测模型[J].辽宁工程技术大学学报,2003,25(6):50–53.
[11]许再良,李国和,许兆义,等.鲁南地区区域地壳稳定性评价与胶新铁路地质选线[J].工程地质学报,2002,10(2):1–6.
[2]庄乾城,罗国煜,李晓昭,等.南京地铁稳定性优势面理论分析[J].高校地质学报,2002,8(4):453–459.
[3]徐卫亚,蒋中明,石安池.基于模糊集理论的边坡稳定性分析[J].岩土工程学报,2003,25(4):409–413.
[4]刘之葵,梁金城,朱寿增.岩溶区含溶洞岩石地基稳定性分析[J].岩土工程学报,2003,25(5):629–633.
[5]陈艳华,朱庆杰,苏幼坡.基于格里菲斯准则的地下岩体天然裂缝分布的有限元模拟[J].岩石力学与工程学报,2003,22(3):364–369.
[6]李爱兵,周先明.露天采场三维楔形滑坡体的稳定性研究[J].岩石力学与工程学报,2002,21(1):52–55.
[7]孔宪京,刘君,韩国城.面板堆石坝模型动力破坏试验与数值仿真分析[J].岩土工程学报,2003,25(1):26–30.
[8]符文熹,聂德新,尚岳全,等.地应力作用下软弱层带的工程特性研究[J].岩土工程学报,2002,24(5):584–587.
[9]朱庆杰,苏幼坡.基岩条件对地震影响系数的影响[J].岩土工程学报,2004,26(2):198–201.
[10]朱庆杰,刘廷权,张秀彦.唐山市岩溶塌陷的神经网络预测模型[J].辽宁工程技术大学学报,2003,25(6):50–53.
[11]许再良,李国和,许兆义,等.鲁南地区区域地壳稳定性评价与胶新铁路地质选线[J].工程地质学报,2002,10(2):1–6.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心