Characterizing soil properties by the meshless local Petrov-Galerkin method

被引：2
作者：
Sheu G.Y. [1 ]
机构：
[1] Department of the Accounting Information, Chang-Jung Christian University, Tainan 714, Kway Jen
来源：
Geotechnical and Geological Engineering | 2007年 / 25卷 / 04期
关键词：
Akaike information criterion; Back analysis; Meshless local Petrov-Galerkin method;
D O I：
10.1007/s10706-007-9128-5
中图分类号：
学科分类号：
摘要：
This study presents a preliminary development of a direct back analysis procedure by the meshless local Petrov-Galerkin (MLPG) method and its application to characterize soil properties using in-situ test results. As compared to a direct back analysis based on the finite element method (FEM), it is intended to show that doing a direct back analysis by the MLPG method may reduce the computation costs or treat with the non-homogeneity of characterized soil properties more easily. Taking a two-dimensional (2D) solute transport problem as an illustration, an MLPG1 model of such a problem is derived to predict the solute concentration with trial coefficients of dispersion. To account for the non-homogeneity of these coefficients, variation of them is described by the moving least-squares interpolation. The Akaike information criterion is then introduced to find those coefficients of dispersion with which errors between predicted and measured data are minimized. A benchmark problem is studied to test the precision of numerical results provided by the proposed MLPG1 model. Another example illustrates the experiences of doing an MLPG-based direct back analysis. Comparison of MLPG-based and FEM-based direct back analyses is taken. © Springer Science+Business Media B.V. 2007.
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页码：473 / 486
页数：13
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