Home / Journals / CMES / Vol.102, No.6, 2014
Table of Content
  • Open Access

    ARTICLE

    The Boundary Integral Equation for 3D General Anisotropic Thermoelasticity

    Y.C. Shiah1, C.L. Tan2,3
    CMES-Computer Modeling in Engineering & Sciences, Vol.102, No.6, pp. 425-447, 2014, DOI:10.3970/cmes.2014.102.425
    Abstract Green’s functions, or fundamental solutions, are necessary items in the formulation of the boundary integral equation (BIE), the analytical basis of the boundary element method (BEM). In the formulation of the BEM for 3D general anisotropic elasticity, considerable attention has been devoted to developing efficient algorithms for computing these quantities over the years. The mathematical complexity of this Green’s function has also posed an obstacle in the development of this numerical method to treat problems of 3D anisotropic thermoelasticity. This is because thermal effects manifest themselves as an additional domain integral in the integral equation; this has implications for the… More >

  • Open Access

    ARTICLE

    On the Formulation of Three-Dimensional Inverse Catenary for Embedded Mooring Line Modeling

    M.A.L. Martins1, E.N. Lages1
    CMES-Computer Modeling in Engineering & Sciences, Vol.102, No.6, pp. 449-474, 2014, DOI:10.3970/cmes.2014.102.449
    Abstract Embedded anchors have been widely used in offshore operations, and they are known to be effective and economical solutions to anchoring problems. Aiming at contributing to the definition and understanding of the embedded mooring line behavior, this paper expands the formulation adopted at DNV Recommended Practices, for two-dimensional modeling of the interaction between the seabed and the anchor line, to three-dimensional analysis. The formulation here presented, within an elegant differential geometry approach, can now model even out of plane lines. A reference problem is then defined and solved using the obtained governing equations. Corresponding equations are implemented and solved numerically… More >

  • Open Access

    ARTICLE

    MLPG Refinement Techniques for 2D and 3D Diffusion Problems

    Annamaria Mazzia1, Giorgio Pini1, Flavio Sartoretto2
    CMES-Computer Modeling in Engineering & Sciences, Vol.102, No.6, pp. 475-497, 2014, DOI:10.3970/cmes.2014.102.475
    Abstract Meshless Local Petrov Galerkin (MLPG) methods are pure meshless techniques for solving Partial Differential Equations. One of pure meshless methods main applications is for implementing Adaptive Discretization Techniques. In this paper, we describe our fresh node–wise refinement technique, based upon estimations of the “local” Total Variation of the approximating function. We numerically analyze the accuracy and efficiency of our MLPG–based refinement. Solutions to test Poisson problems are approximated, which undergo large variations inside small portions of the domain. We show that 2D problems can be accurately solved. The gain in accuracy with respect to uniform discretizations is shown to be… More >

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