Home / Journals / CMES / Vol.25, No.2, 2008
Special lssues
Table of Content
  • Open AccessOpen Access

    ARTICLE

    Numerical Identification of the Hydraulic Conductivity of Composite Anisotropic Materials

    S. D. Harris1, R. Mustata2, L. Elliott2, D. B. Ingham2, D. Lesnic2
    CMES-Computer Modeling in Engineering & Sciences, Vol.25, No.2, pp. 69-80, 2008, DOI:10.3970/cmes.2008.025.069
    Abstract Two homogeneous anisotropic materials are butted together to form a contact surface within a single composite material (the specimen). An inverse boundary element method (BEM) is developed to determine the components of the hydraulic conductivity tensor of each material and the position of the contact surface. A steady state flow is forced through the specimen by the application of a constant pressure differential on its opposite faces. Experimental measurements (simulated) of pressure and average hydraulic flux at exposed boundaries are then used in a modified least squares functional. This functional minimises the gap between the above measured (simulated) values and… More >

  • Open AccessOpen Access

    ARTICLE

    Coupled Electromechanical Optimization of Power Transmission Lines

    J.R. Jimenez-Octavio1, O. Lopez-Garcia2, E. Pilo1, A. Carnicero2
    CMES-Computer Modeling in Engineering & Sciences, Vol.25, No.2, pp. 81-98, 2008, DOI:10.3970/cmes.2008.025.081
    Abstract This paper presents a multidisciplinary design and optimization method of power transmission lines. This optimization method solves both mechanical and electrical problems by a new strongly coupled method that also optimizes the potential designs using a genetic algorithm. A multi-objective function is formulated to simplify a constrained typical optimization problem into an unconstrained one. The scope of this work is the sizing and configuration optimization problem with fixed topology. The method is applied to a railway overhead transmission line. The genetic algorithm is applied to mechanical, electrical and electromechanical optimization problems obtaining good results. Finally, the solution of the electromechanical… More >

  • Open AccessOpen Access

    ARTICLE

    Application of Local MQ-DQ Method to Solve 3D Incompressible Viscous Flows with Curved Boundary

    Y.Y. Shan1, C. Shu1,2, Z.L. Lu3
    CMES-Computer Modeling in Engineering & Sciences, Vol.25, No.2, pp. 99-114, 2008, DOI:10.3970/cmes.2008.025.099
    Abstract The local multiquadric-based differential quadrature (MQ-DQ) method proposed by [Shu, Ding, and Yeo (2003)] is a natural mesh-free approach for derivative approximation, which is easy to be implemented to solve problems with curved boundary. Previously, it has been well tested for the two-dimensional (2D) case. In this work, this mesh-free method was extended to simulate fluid flow problems with curved boundary in three-dimensional (3D) space. The main concern of this work is to numerically study the performance of the 3D local MQ-DQ method and demonstrate its capability and flexibility for simulation of 3D incompressible fluid flows with curved boundary. Fractional… More >

  • Open AccessOpen Access

    ARTICLE

    Finite Element Analyses of Dynamic Problems Using Graphics Hardware

    Atsuya Oishi1, Shinobu Yoshimura2
    CMES-Computer Modeling in Engineering & Sciences, Vol.25, No.2, pp. 115-132, 2008, DOI:10.3970/cmes.2008.025.115
    Abstract This paper describes the finite element analyses of dynamic problems using graphics hardware. The graphics hardware, known as GPU that is an acronym of Graphics Processing Unit, was first developed only for processing 3D computer graphics. However it has obtained both flexible programmability using a high-level shader programming language such as OpenGL Shading Language (GLSL), and has also obtained fast numerical processing ability of over 160 GFLOPS that is much faster than CPU. In this paper, GPU is utilized for the finite element analyses of dynamic problems. Two different computational tasks in the dynamic finite element analyses are implemented to… More >

Per Page:

Share Link