摘要
文章提出基于响应面法的渗透系数反演分析方法。通过构造渗压计算值响应面方程,代替耗时的有限元计算,提高了渗透系数反演分析效率。结合监测数据和数值模拟对某水闸地基渗流进行了分析。监测数据表明该水闸地基渗压呈汛期高、枯期低的周期性变化规律,原因是下游河道水位大幅变化。对闸基覆盖层材料的渗透系数进行反演分析后,对闸基渗流场进行了有限元数值模拟,验证了渗压周期性变化的原因,揭示了闸基中渗透坡降较大的部位。
引文
[1]Chen,S. H.,Xu,Q.,Hu,J. 2004. COMPOSITE ELEMENT METHOD FOR SEEPAGE ANALYSIS OF GEOTECHNICAL STRUCTURES WITH DRAINAGE HOLE ARRAY[J]. Journal of Hydrodynamics,16(03),260-266.
[2]Jiang,T.,Zhang,J. R.,Wan,W. F.,Cui,S.,Deng,D. P.2017. 3D transient numerical flow simulation of groundwater bypass seepage at the dam site of Dongzhuang hydro-junction[J]. Engineering Geology,231(Dec),176-189.
[3]宋春发.有限元在闸基渗流计算中的应用[J].水利科技与经济,2005(02):75-76,92.
[4]杨树耕,孟昭英,任贵永.闸基渗流场的有限元数值模拟[J].港工技术,1998(04):45-49.
[5]夏俊江. ABAQUS在闸坝三维渗流计算中的应用[J].四川水利,2016,37(02):56-58,64.
[6]贺晓明,李智录,王淑贤.利用ANSYS热分析模块分析渗流场问题的探究[J].工程地质计算机应用,2005(04):26-29.
[7]景来红,段世超,杨顺群.渗流反演分析在工程设计中的应用[J].岩石力学与工程学报,2007(S2):4503-4509.
[8]安元,唐雷彬.基于数值模拟的土石坝渗流计算及防渗措施分析[J].水利规划与设计,2018(03):91-93.
[9]喻少平.红海水库主坝渗流分析[J].水利规划与设计,2015(07):47-48,96.
[10]E Ojo; D Matawal; Michael Hicks; Ronald Brinkgreve; Alexander Rohe. Application of artificial neural network in monitoring seepage flow through Dadin Kowa dam,Gombe State Nigeria[J]. NUMERICAL METHODS IN GEOTECHNICAL ENGINEERING,VOL 1.2014:479-490.
[11]刘涛,杨凤鹏.精通ANSYS[M].北京:清华大学出版社,2005.
[12]Hadidi,A.,Azar,B. F.,Rafiee,A. 2017. Efficient response surface method for high-dimensional structural reliability analysis[J]. Structural Safety,68,15-27.
[13]Bucher C G,Bourgund U A. A Fast Efficient Response Surface Approach for Structural Reliability Problems[J]. Structural Safety,1990,7(1):57-66.
[14]Shimei W,Huawei Z,Yeming Z,et al. Back analysis of unsaturated parameters and numerical seepage simulation of the Shuping landslide in Three Gorges reservoir area[C]//Tenth International Symposium on Landslides&Engineered Slopes. 2008.
[15]Tian H,Chen W,Yang D,et al. Application of the orthogonal design method in geotechnical parameter back analysis for underground structures[J]. Bulletin of Engineering Geology and the Environment,2016,75(1):239-249.
[16]LINGO. 2014. LINGO 15 user’s guide[M]. LINDO Systems Inc,Chicago.
[17]Phoon,K. K.,Kulhawy,F. H. 1999. Characterization of Geotechnical Variability[J]. Canadian Geotechnical Journal,36(4),612-624.
[18]IBM SPSS. 2012. SPSS Base 21. 0 Users Guide[M]. IBM SPSS Statistics Chicago.