Home / Journals / CMES / Vol.106, No.3, 2015
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  • Open AccessOpen Access

    ARTICLE

    The Selective Control Feature for Physically Accurate Solutions of All Variables and Application in First Order Linear Transient Hyperbolic Systems

    S. Masuri1, K. K. Tamma2
    CMES-Computer Modeling in Engineering & Sciences, Vol.106, No.3, pp. 147-168, 2015, DOI:10.3970/cmes.2015.106.147
    Abstract The objective in this paper is to extend the previously developed twoparameter GS4-1 (Generalized Single System Single Solve for 1st order transient systems) computational framework from parabolic to hyperbolic type of applications pertaining to first order linear transient systems. In particular, attention is paid to the selective control feature inherit in the framework, which is the new feature that enables different amounts of high frequency damping for the primary variable and its time derivative, allowing for physically accurate solutions of all variables in the system. This is in contrast to having only limited, often indiscriminate, control of the high frequency… More >

  • Open AccessOpen Access

    ARTICLE

    Efficient Load-balancing Scheme for Multi-agent Simulation Systems

    K. Kuramoto1, M. Furuichi2, K. Kakuda2
    CMES-Computer Modeling in Engineering & Sciences, Vol.106, No.3, pp. 169-186, 2015, DOI:10.3970/cmes.2015.106.169
    Abstract This paper describes a scheme to improve efficiency of multi-agent simulation system (MAS) on single computer that has multiple processor cores. Simulation technology is applied for broad usage in the world, and MAS gathers attention from the fields that treat complicated and non-numeric issues such as traffic analysis, analyzing evacuation from a building, and defense training. Since the requirements of simulation scale and fidelity are growing, the importance of their performance is also increasing. However, CPU clock speedup is slowing, and improvement of computer performance has come to depend on the number of processors, cores, and graphics processing units. Consequently,… More >

  • Open AccessOpen Access

    ARTICLE

    Dynamic Mesh Refining and Iterative Substructure Method for FilletWelding Thermo-Mechanical Analysis

    Hui Huang, Hidekazu Murakawa
    CMES-Computer Modeling in Engineering & Sciences, Vol.106, No.3, pp. 187-201, 2015, DOI:10.3970/cmes.2015.106.187
    Abstract Dynamic mesh refining method (DMRM) developed previously was extended to multi-level refinement, and employed to perform thermal-mechanical analysis of fillet welding. The DMRM has been successfully incorporated with another efficient technique, the iterative substructure method (ISM) to greatly enhance the computation speed of welding simulation. The basic concept, hierarchical modeling and computation flowchart are described for the proposed method. A flange-to-pipe welding problem has been solved with a commercial code and the novel method to demonstrate its high accuracy and efficiency. Furthermore, the numerical analysis was performed on a large scale stiffened welding structure, and comparison of welding deformation between… More >

  • Open AccessOpen Access

    ARTICLE

    An Evaluation of Multigrid Acceleration for the Simulation of an Edge FLame in a Mixing Layer

    M. Wasserman1,2, Y. Mor-Yossef1,2, J.B. Greenberg1
    CMES-Computer Modeling in Engineering & Sciences, Vol.106, No.3, pp. 203-228, 2015, DOI:10.3970/cmes.2015.106.203
    Abstract A test problem of a laminar edge flame formed in the mixing layer of two initially separated streams of fuel and oxidant is employed to evaluate the performance of multigrid acceleration of the iterative solution of the central difference finite difference scheme approximating the governing energy and species mass fraction conservation equations. The multigrid method was found to be extremely efficient and significantly improved the iterative convergence relative to that of a single grid method. For low to moderate chemical Damkohler numbers, acceleration factors of up to six (6!) times were recorded in the computational time required to obtain iterative… More >

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