Home / Journals / CMES / Vol.103, No.6, 2014
Table of Content
  • Open Access

    ARTICLE

    Geometrically Nonlinear Inelastic Analysis of Timoshenko Beams on Inelastic Foundation

    A.E. Kampitsis1, E.J. Sapountzakis2
    CMES-Computer Modeling in Engineering & Sciences, Vol.103, No.6, pp. 367-409, 2014, DOI:10.3970/cmes.2014.103.367
    Abstract In this paper a Boundary Element Method (BEM) is developed for the geometrically nonlinear inelastic analysis of Timoshenko beams of arbitrary doubly symmetric simply or multiply connected constant cross-section, resting on inelastic tensionless Winkler foundation. The beam is subjected to the combined action of arbitrarily distributed or concentrated transverse loading and bending moments in both directions as well as to axial loading, while its edges are subjected to the most general boundary conditions. To account for shear deformations, the concept of shear deformation coefficients is used. A displacement based formulation is developed and inelastic redistribution is modeled through a distributed… More >

  • Open Access

    ARTICLE

    Image Segmentation Method for Complex Vehicle Lights Based on Adaptive Significance Level Set

    Jia Dongyao1,2, Zhu Huaihua1, Ai Yanke1, Zou Shengxiong1
    CMES-Computer Modeling in Engineering & Sciences, Vol.103, No.6, pp. 411-427, 2014, DOI:10.3970/cmes.2014.103.411
    Abstract The existing study on the image segmentation methods based on the image of vehicle lights is insufficient both at home and abroad, and its segmentation efficiency and accuracy is low as well. On the basis of the analysis of the regional characteristics of vehicle lights and a level set model, an image segmentation method for complex vehicle lights based on adaptive significance level set contour model is proposed in this paper. Adaptive positioning algorithm of the significant initial contour curve based on two-dimensional convex hull is designed to obtain the initial position of evolution curve, thus the adaptive ability of… More >

  • Open Access

    ARTICLE

    Global Approximation for a Simulation Model Based on the RBF Response Surface Set

    Yin Xiao-Liang1, Wu Yi-Zhong1,2, Wan Li1, Xiong Hui-Yuan3
    CMES-Computer Modeling in Engineering & Sciences, Vol.103, No.6, pp. 429-462, 2014, DOI:10.3970/cmes.2014.103.429
    Abstract The use of multi-dimensional global approximation for a complex black-box function (such as a simulation or an analysis model) is steadily growing in the past decade. It can be applied in many fields such as parameter experiment, sensibility analyses real-time simulation, and design/control optimization. However, the widespread use of approximation methods is hampered by the lack of the ability to approximate a complex simulation model which characterizes the dynamic feature with multiple inputs and multiple outputs (MIMO) in a large domain. In this paper, a novel global approximation method for simulation models based on the RBF response surface set is… More >

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