Soil Water Characteristic Curves Based on Particle Analysis.

New calculation method for determining Soil water characteristic curves (SWCC) according to soil particle analysis tests based on BP neural network algorithm and Arya-Paris model. BP Neural network algorithm was used to simulate parameter model of soil particle size distribution based on soil particle analysis tests, and used to simulate the function relationship between soil volumetric water content and matrix suction which were calculated based on Arya-Paris model. The function expression of SWCC can be obtained by BP neural network algorithm based on Arya-Paris model. The result show that this method was applicability and reliability. [ABSTRACT FROM AUTHOR]