TY - JOUR ID - 4206 TI - Estimation of van Genuchten SWCC model for unsaturated sands by means of the genetic programming JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Taban, A. AU - Sadeghi, M . Mirmohammad AU - Rowshanzamir, M.A. AD - Department of Civil Engineering Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran AD - Department of water and Natural Environment, Laboratory of Soil Mechanics, Isfahan Higher Education and Research Institute (IHEARI) AD - Department of Civil Engineering, Isfahan University of Technology (IUT), Isfahan, Iran Y1 - 2018 PY - 2018 VL - 25 IS - 4 SP - 2026 EP - 2038 KW - SWCC KW - van Genuchten Model KW - Unsaturated soils KW - Genetic programming KW - Fitting Parameters DO - 10.24200/sci.2017.4206 N2 - The van Genuchten Model (1980) is widely-used for the description of the Soil-Water Characteristic Curve (SWCC) of a variety of soils. This study uses the Genetic Programming (GP) for the presentation of equations estimating the van Genuchten (vG) Model fitting parameters for unsaturated clean sand soils. Moreover, this study uses the data derived from the valid dataset of Benson et al. (2014), including 95 measured SWCCs in both drying and wetting phases. The data on the particle size distributions includes the fine-grain percentage (Fines %), d60, d10, besides the residual and saturated volumetric water content and ), as the GP model inputs of set of terminal. As for the model outputs of set of terminal, the fitting parameters for the vG model include a and n. The functions used in the GP training were 'plus', 'minus', 'times', taken from the MATLAB default functions, 'mydivide' proposed by Silva (2007), and some other new power functions included by this study. Accordingly, new equations were presented for the estimation of vG Model fitting parameters for both forms of wetting and drying. Finally, to evaluate the accuracy of the proposed estimation equations, the GP results were evaluated and verified in different procedures. UR - https://scientiairanica.sharif.edu/article_4206.html L1 - https://scientiairanica.sharif.edu/article_4206_941a3b4ae8ad623078c06dc2c5d32da0.pdf ER -