Investigation and Estimation of Seepage Discharge Through Homogenous Earth Dam with Core by Using SEEP/W Model and Artificial Neural Network
Keywords:
ANN, Earth Dam, FEM, SeepageAbstract
This paper concerns to investigate the amount of seepage through the homogenous earth dam with core by finite elements software SEEP/W. By SEEP/W investigates groups were executed with three different upstream and down.stream slopes of earth dam, four different upstream and downstream slopes of core, for homogenous cases. For each run the amount of seepage discharge was specified. Dimensional analysis was used for the product and with aiding of the SPSS statically program to advancement an empirical equation in order to estimate the amount of seepage discharge through the homogenous earth dam with core resting on impervious base. In addition using ANN the SEEP/W results and the recommended equation in this paper have been verified, which show great agreement with SEEP/W results with using one hidden layer for ANN.
Downloads
References
Tim Stephens, Manual on Small Earth Dams, Food and Agriculture Organization of the United Nations, Italy, 2010.
An Engineering Methodology, Seepage Modeling with SEEP/W, GEO-SLOPE International Ltd, 2007.
Foad Qassemi, Fazlollah Soltani, Ehsan Sadrossadat, Ahmad Qassemi and Hamed Qassemi, Estimating variations in permeability of earth-dam body during leakage phenomenon by neural network, Khavaran Higher-education Institute, Mashhad, (2011), 12-14.
Abdolreza Joghataie, Mehrdad S. Dizaji and Farzad S. Dizaji, Neural Network Software for Dam-Reservoir-Foundation Interaction, International Conference on Intelligent Computational Systems, 2012, 129-133.
Elham Roshani and Davood Farsadizadeh, Optimization of Clay Core Dimensions in Earth Fill Dams Using Particle Swarm Algorithm, Journal of Civil Engineering and Urbanism, 2, (5), (2012), 176-181.
Baghalian, S., Nazari, F. and Malihi, S.S., Analysis and Estimation of Seepage Discharge in Dams, International Journal of Engineering and Applied Sciences (IJEAS), 4 ,(3), (2012), 49-56.
Vahid Nourani, Elnaz Sharghi and Mohammad Hossein Aminfar, Integrated ANN model for earthfill dams seepage analysis: Sattarkhan Dam in Iran, Artificial Intelligence Research, 1, (2). (2012).
Saeed P. Kokaneh, Shahram Maghsoodian, Hossein MolaAbasi and Afshin Kordnaeij, Seepage evaluation of an earth dam using Group Method of Data Handling (GMDH) type neural network: A case study, Scientific Research and Essays 8, (3), (2013), 120-127.
Ibtesam R. Kareem, Aqeel Al-Adili and Hassan Hussen Abdulla, Study of Infiltration and Stability of the Earth fill dams, (Proposed Kashkan dam as a case study), Kufa journal. 4, (2), (2013).
Mohammed Y. Fattah, Salama N. Y. Al-Labban and Firas A. Salman, Seepage Analysis of a Zoned Earth Dam by Finite Elements, International Journal of Civil Engineering and Technology, 5(8), (2014),128-139.
Mahmoud Asadi, Jahangir Khazaei, Seepage analysis in body and foundation of Dam using the Seep/3D and Seep/W, Journal of Science and Today's World, 3(10), (2014), 457-461.
Xinhua Xue, Xingguo Yang and Xin Chen, Estimating Piping Potential In Earth Dams And Levees Using Generalized Neural Networks, Acta Geotechnica Slovenica, (2014), 59-69.
Abdoreza A. Sakhmarsi, Hanieh Akhbari, Seyad P. Naeimi and Ali Kiapey, The effect of the cutoff wall conditions on the seepage characteristics of homogeneous earth-fill dams using SEEP/W, Walia journal No.30, (2014), 176-182.
Imran Arshad and Babar, M. M., Comparison of SEEP/W Simulations with Field Observations for Seepage Analysis through an Earthen Dam (Case Study: Hub Dam - Pakistan), International Journal of Research (IJR), 1, (7). (2014).
Melih Çalamak, Uncertainty Based Analysis of Seepage Through Earth-Fill Dams, Phd. Thesis, The Graduate School of Natural and Applied Sciences of Middle East Technical University, Turkey, 2014.
Taofeeq S.Abdulkadir, Adebayo W. salami, Bolaji F. Sule and Josiah A. Adeyemo, Neural Network Based Model for Forecasting Reservoir Storage for Hydropower Dam Operation, International Journal of Engineering Research and General Science, 3(5), (2015), 639-647.
Shivakumar S. Athania, Shivamantha, C. H. Solankia and G. R. Dodagoudarb, Seepage and Stability Analyses of Earth Dam using Finite Element Method, International Conference on Water Resources, Coastal and Ocean Engineering, 2015, 876 – 883.
Seyed M. Mortazavi and Sam Soleima, Leakage Analysis of Embankment Dams Using SEEP/W, 3D SEEP, Journal of Applied Environmental and Biological Sciences, 5(10), (2015), 122-128.
Fatemeh Karampoor and Roozbeh Riazi, Investigation the effect of clay core in seepage from non-homogenous earth dams using SEEP/W Model, Journal of Scientific Research and Development, 2 (5), (2015), 280-285.
Asmaa A. Jamel, Analysis and Estimation of Seepage Through Homogenous Earth Dam without Filter, Diyala Journal Of Engineering Sciences, , 9,(1), (2016).
Nima Ehsani, Balazs M. Fekete, Charles J. Vorosmarty and Zachary D. Tessler, A neural network based general reservoir operation scheme, Stoch Environ Res Risk Assess, 4, (30), (2016), 1151-1166.
Moavenshahidi, A., Smith, R., and Gillies, M. Factors Affecting the Estimation of Seepage Rates from Channel Automation Data. J. Irrig. Drain Eng., (2014), 1943-4774.
Hamed, M., Khalafallah, M.G. and Hassanien, E.A., Prediction of Wastewater Treatment Plant Performance using Artificial Neural Networks, Environmental Modeling and Software, 19(10), (2004), 919-928.
Deniz Ersayin, Studying Seepage in a Body of Earth-Fill Dam by (Artificial Neural Networks) ANNs, Msc. Thesis, Izmir Institute of Technology, Turkey, 2006.
Published
How to Cite
Issue
Section
Copyright (c) 2018 Asmaa Abdul Jabbar Jamel
This work is licensed under a Creative Commons Attribution 4.0 International License.