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DETERMINATION OF UNSATURATED HYDRAULIC PROPERTIES USING DRAINAGE GRAVITY TEST AND PARTICLE SWARM OPTIMIZATION ALGORITHM

Volume 16, Issue 11, 2013, pp. 1025-1034
DOI: 10.1615/JPorMedia.v16.i11.50
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ABSTRACT

There are different tests to estimate the hydraulic parameters of the van Genuchten−Mualem model needed to simulate the flow in unsaturated porous media. In this paper it is shown that it is possible to identify all the hydraulic parameters of sand by using a unique column test, which is a gravity drainage test where only the flow-rate temporal evolution is measured. To do so, we use several tensiometers installed in different positions along the column to measure the pressure head inside the soil sample. Inverse analysis is performed thanks to the particle swarm optimization (PSO) algorithm and the finite element modeling of the column test. This optimization algorithm is easy to implement and is efficient for this strongly nonlinear problem. The identification is validated by using conventional tests such as the multi-step outflow test and the constant-head permeameter test.

CITED BY
  1. Zhang Yudong, Wang Shuihua, Ji Genlin, A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications, Mathematical Problems in Engineering, 2015, 2015. Crossref

  2. Shao Longtan, Wen Tiande, Guo Xiaoxia, Sun Xiang, A Method for Directly Measuring the Hydraulic Conductivity of Unsaturated Soil, Geotechnical Testing Journal, 40, 6, 2017. Crossref

  3. Wen Tiande, Shao Longtan, Guo Xiaoxia, Zhao Yanru, Huang Liping, Chen Xiangsheng, Error correction of water evaporation loss on the unsaturated hydraulic conductivity, Soils and Foundations, 59, 6, 2019. Crossref

  4. Hanna Matthew, El-Zein Abbas, Estimation of Soil Water Retention Curves by Inversion of the Richards Equation: A Comparison of Nature-Inspired and Gradient Algorithms, in Challenges and Innovations in Geomechanics, 288, 2023. Crossref

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