2015
DOI: 10.1002/nag.2472
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B-bar based algorithm applied to meshfree numerical schemes to solve unconfined seepage problems through porous media

Abstract: SUMMARYThe object of this work is to establish a meshfree framework for solving coupled, steady and transient problems for unconfined seepage through porous media. The Biot's equations are formulated in displacements (or u w) assuming an elastic solid skeleton. The free surface location and its evolution in time are obtained by interpolation of pore water pressures throughout the domain. Shape functions based on the principle of local maximum entropy are chosen for the meshfree approximation schemes. In order … Show more

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Cited by 28 publications
(25 citation statements)
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“…In Figure B, the convergence rates of the proposed methodology in the cases with or without F‐bar are shown. These results have been also compared with the ones obtained using the B‐bar methodology by Navas et al with also LME meshfree shape functions. Note that when the number of divisions reaches 16 per side, the vertical displacement at P is already about 95% of the asymptotic value similarly to the results obtained with the B‐bar methodology.…”
Section: Model Validationmentioning
confidence: 96%
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“…In Figure B, the convergence rates of the proposed methodology in the cases with or without F‐bar are shown. These results have been also compared with the ones obtained using the B‐bar methodology by Navas et al with also LME meshfree shape functions. Note that when the number of divisions reaches 16 per side, the vertical displacement at P is already about 95% of the asymptotic value similarly to the results obtained with the B‐bar methodology.…”
Section: Model Validationmentioning
confidence: 96%
“…On the other hand, λ is derived from the optimization process required in the calculation of the LME shape functions, which is based on the minimization of the function gfalse(bold-italicλfalse)=logZfalse(boldx,bold-italicλfalse) to guarantee the maximum entropy, with λ ∗ ( x ) as the unique minimizer, being the optimal values that come from the minimization process. This unconstrained minimization problem with a strictly convex objective function can be solved efficiently and robustly by a combination of the Newton‐Raphson method and Nelder‐Mead Simplex algorithm . Unfortunately, for large deformation problems, the update of neighbors is required, which makes the calculation of the parameter λ rather unstable.…”
Section: Numerical Implementationmentioning
confidence: 99%
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