首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Erosion probability model of base-soil particle migration into a granular filter under local flow
Institution:1. College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China;2. Kunming Engineering Corporation Limited, Kunming 650041, China;1. Department of Civil Engineering, Stellenbosch University, Stellenbosch, South Africa;2. Christian-Doppler Laboratory for Multi-scale Modelling of Multiphase Processes, Johannes Kepler University, Austria;1. National Inland Waterway Regulation Engineering Research Center, Chongqing Jiaotong University, 66 Xuefu Road, Nan’an District, Chongqing 400074, China;2. Changjiang Chongqing Harbour and Waterway Engineering Investigation and Design Institute, Chongqing, China;1. Instituto de Mecánica de los Fluidos e Ingeniería Ambiental, Facultad de Ingeniería, Universidad de la República, J. Herrera y Reissig 565, CP 11300 Montevideo, Uruguay;2. Université Paris-Est, Laboratory for Hydraulics Saint-Venant (ENPC-EDF/R&D-CEREMA), 6 quai Watier, BP 49, 78401 Chatou Cedex, France;3. Electricity of France, R&D Department, 6 quai Watier, BP 49, 78401 Chatou Cedex, France;4. Sorbonne Universités, Université de Technologie de Compiègne, FRE UTC-CNRS 3023, Roberval, Centre de Recherche Royallieu, CS 60 319, 60203 Compiègne Cedex, France;5. Cerema, Direction Technique Eau, Mer et Fleuves, 134 rue de Beauvais, CS 60039, 60280 Margny Lès Compiègne, France;6. Institut National de la Recherche Scientifique, Centre - Eau Terre Environnement, 490 Rue de la Couronne, Québec, Canadá G1K 9A9;1. Federal Institute of Education, Science and Technology of Ceará, Fortaleza, Brazil;2. University of Valladolid, Campus La Yutera, Palencia, Spain;3. Federal University of Ceará, Department of Agricultural Engineering, Campus do Pici, Bloco 804, 60.450-760, Fortaleza, Brazil;1. Université de Bordeaux, I2M, Laboratoire TREFLE, 16 Avenue Pey-Berland, Pessac, France;2. The University of Queensland, School of Civil Engineering, Brisbane, QLD 4072, Australia;3. CNRS UMR 5295, 33607 Pessac, France;1. Department of Civil & Environmental Engineering, 941 rue Charles Bourseul, BP 10838, 59508 Douai, France;2. Toulouse University, Mines Albi, CNRS, RAPSODEE Center, Campus Jarlard, F-81013 Albi cedex 09, France;3. SOLVAY SA, DCRT, rue de Ransbeek 310, B-1120 Bruxelles, Germany;4. PRAYON SA, rue J. Wauters, Engis, Belgium
Abstract:To avoid soil erosion, filters often are installed in the downstream cross section of dams. However, the probability of piping failure and the filter effect both are related to the soil pore network. Previous erosion probability models for a base soil-filter system do not consider the effect of local flow. Therefore, in this study, an improved erosion probability model is established, in which the deviation between the main flow direction of the soil and the local flow direction in the filter was considered based on a previous model. The improved model was validated by numerical simulation. The erosion probability was found to affect the reasonable evaluation of filter effects and the optimal selection of filter thickness. The controlling constriction size in a granular filter was increased to Dc* = Dc5 with a filter thickness of 59 Dm.
Keywords:Granular filter  Pore network  Erosion probability  Local flow  Deviation probability
本文献已被 万方数据 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号