基于BP-Olden方法的均质地基基质吸力影响因素显著性分析Significant analysis of influence factors on matric suction of homogeneous foundation based on the BP-Olden method
秦卫星;胡惠仁;廖紫欣;李蕾;吴卫东;
摘要(Abstract):
为确定降雨入渗过程影响均质地基基质吸力演化的主导因素,首先基于BP神经网络建立饱和渗透系数、去饱和系数、储水能力、降雨强度和降雨历时5个影响因素与基质吸力分布改变量之间的非线性映射关系模型,并采用Levenberg-Marquardt算法进行神经网络训练,得到隐含层与输入层、输出层之间的连接权值。然后利用Olden方法处理神经网络的连接权值,获得各因素对基质吸力分布改变影响显著性的量化值表达式,建立了降雨入渗作用下地基基质吸力影响因素显著性分析的BP-Olden方法。最后以概化均质地基模型为研究对象进行算例分析,结果表明,地基基质吸力分布改变主要受土体去饱和系数和土体储水能力影响,降雨强度和降雨历时的影响显著性次之,土体饱和渗透系数的影响最小。研究成果为采用针对性地基土体性能改良措施来降低雨水入渗引起的不良影响提供了技术支持。
关键词(KeyWords): 安全工程;均质地基;基质吸力;BP神经网络;Olden方法;显著性分析
基金项目(Foundation): 国家自然科学基金项目(51208062,51508039);; 湖南省交通科技计划项目(201140);; 2019年湖南省研究生科研创新项目(CX20190680)
作者(Authors): 秦卫星;胡惠仁;廖紫欣;李蕾;吴卫东;
DOI: 10.13637/j.issn.1009-6094.2020.1053
参考文献(References):
- [1] 杜光波,倪万魁.降雨条件下黄土斜坡的入渗特征分析[J].安全与环境学报,2017,17(4):1387-1391.DU G B,NI W K.Status-in-situ observation and analysis for the loess landslide under the impact of the rainfall[J].Journal of Safety and Environment,2017,17(4):1387-1391.
- [2] VAHEDIFARD F,ROBINSON J D.Unified method for estimating the ultimate bearing capacity of shallow foundations in variably saturated soils under steady flow[J].Journal of Geotechnical & Geoenvironmental Engineering,2015,142(4):04015095.
- [3] 张常光,范文,赵均海,等.线性吸力下非饱和土地基临界荷载统一解[J].中南大学学报(自然科学版),2016,47(12):4190-4197.ZHANG C G,FAN W,ZHAO J H,et al.Unified solution of critical load for foundation in unsaturated soils under linear suction[J].Journal of Central South University (Science and Technology),2016,47(12):4190-4197.
- [4] 胡惠仁,秦卫星,吴卫东,等.均质地基基质吸力演化及影响参数显著性分析[J].铁道科学与工程学报,2019,16(6):1405-1411.HU H R,QIN W X,WU W D,et al.Evolution of matrix suction for homogeneous foundation and significance analysis of the influencing parameters[J].Journal of Railway Science and Engineering,2019,16(6):1405-1411.
- [5] SRIVASTAVA R,YEH T C J.Analytical solutions for one-dimensional,transient infiltration towards the water table in homogeneous and layered soils[J].Water Resources Research,1991,27(5):753-762.
- [6] ZHAN T L T,NG C W W.Analytical analysis of rainfall infiltration mechanism in unsaturated soils[J].International Journal of Geomechanics,2004,4(4):273-284.
- [7] 吴礼舟,黄润秋.非饱和土渗流及其参数影响的数值分析[J].水文地质工程地质,2011,38(1):94-98.WU L Z,HUANG R Q.A numerical analysis of the infiltration and parameter effects in unsaturated soil[J].Hydrogeology and Engineering Geology,2011,38(1):94-98.
- [8] WU L Z,XU Q,WANG T.Incorporating hydromechanical coupling of unsaturated soils into the analysis of rainwater-induced groundwater ponding[J].International Journal of Geomechanics.2018,18(6):06018010.
- [9] 李宁,许建聪.无限长均质斜坡降雨入渗解析解[J].岩土工程学报,2012,34(12):2325-2330.LI N,XU J C.Analytical solutions for rainfall infiltration into homogenous infinite slopes[J].Chinese Journal of Geotechnical Engineering,2012,34(12):2325-2330.
- [10] 李宁,刘冠麟,陈有亮,等.降雨诱发浅层滑坡影响因素的解析分析[J].上海理工大学学报,2018,40(1):65-75.LI N,LIU G L,CHEN Y L,et al.Analytical analysis on the influencing factor of rainfall-induced shallow landslide[J].Journal of University of Shanghai for Science and Technology,2018,40(1):65-75.
- [11] 王玉军.降雨入渗对粘土边坡的影响分析[D].成都:西南石油大学,2016.WANG Y J.The influence of rainfall infiltration of clay slope analysis[D].Chengdu:Southwest Petroleum University,2016.
- [12] 曾铃,史振宁,付宏渊,等.降雨入渗对边坡暂态饱和区分布特征的影响[J].中国公路学报,2017,30(1):25-34.ZENG L,SHI Z N,FU H Y,et al.Influence of rainfall infiltration on distribution characteristics of slope transient saturated zone[J].China Journal of Highway and Transport,2017,30(1):25-34.
- [13] 王刚,孙萍,吴礼舟,等.降雨诱发浅表层黄土滑坡机理实验研究[J].工程地质学报,2017,25(5):1252-1263.WANG G,SUN P,WU L Z,et al.Experimental study on mechanism of shallow loess landslides induced by rainfall[J].Journal of Engineering Geology,2017,25(5):1252-1263.
- [14] 潘俊义,侯大勇,李荣建,等.不同雨强下黄土边坡降雨入渗测试与分析[J].工程地质学报,2018,26(5):1170-1177.PAN J Y,HOU D Y,LI R J,et al.Rainfall infiltration test and analysis of loess slope under different rainfall intensities[J].Journal of Engineering Geology,2018,26(5):1170-1177.
- [15] OLDEN J D,JACKSON D A.Illuminating the “black box”:a randomization approach for understanding variable contributions in artificial neural networks[J].Ecological Modelling,2002,154(1):135-150.
- [16] OLDEN J D,JOY M K,DEATH R G.An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data[J].Ecological Modelling,2004,178(3):389-397.
- [17] 赵明伟,汤国安,李发源,等.基于BP神经网络的陕北黄土高原侵蚀产沙影响因子显著性研究[J].水土保持通报,2012,32(1):5-9,226.ZHAO M W,TANG G A,LI F Y,et al.Significance of impact factors upon erosion and sediment yield on northern Shaanxi loess plateau based on BP neural network[J].Bulletin of Soil and Water Conservation,2012,32(1):5-9,226.
- [18] 陈文森,常晓林,马刚,等.基于神经网络连接权值的堆石体流变模型参数敏感性研究[J].中国农村水利水电,2018(1):128-134,139.CHEN W S,CHENG X L,MA G,et al.Parameter sensitivity of rockfill rheological model based on neural network connection weight[J].China Rural Water and Hydropower,2018(1):128-134,139.
- [19] 王炳萱.LM优化算法和神经网络预测控制在非线性系统中的研究[D].太原:太原理工大学,2016.WANG B X.Research on LM optimization algorithm and neural network predictive control in nonlinear system[D].Taiyuan:Taiyuan University of Technology,2016.
- [20] 李蕾.基于GA-LM-BP神经网络的降雨条件下边坡稳定性预测研究[D].长沙:长沙理工大学,2017.LI L.Prediction of slope stability under the conditions of rainfall based on GA-LM-BP neural network[D].Changsha:Changsha University of Science & Technology,2017.
- [21] 张秀成.试验设计与数据处理[M].西安:西北大学出版社,2014:152-190.ZHANG X C.Experiment design and data processing[M].Xi'an:Northwest University Press,2014:152-190.