Journals / ICCES / Vol.2, No.1
Table of Content

  • ABSTRACT

    Simple Common Plane Contact Detection Algorithm For Fe/Fd Methods

    Oleg Vorobiev1
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.2, No.1, pp. 1-6, 2007, DOI:10.3970/icces.2007.002.001
    Abstract Common-plane (CP) algorithm is widely used in Discrete Element Method (DEM) to model contact forces between interacting particles or blocks. A new simple contact detection algorithm is proposed to model contacts in FE/FD methods which is similar to the CP algorithm. The CP is defined as a plane separating interacting faces of FE/FD mesh instead of blocks or particles in the original CP method. The method does not require iterations. It is very robust and easy to implement both in 2D and 3D case. More >

  • ABSTRACT

    Thermal-Mechanical Buckling Analysis of Laminated Composite Shells by Finite Element Method

    J. Li1, Z.H. Xiang1, M.D. Xue1
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.2, No.1, pp. 7-12, 2007, DOI:10.3970/icces.2007.002.007
    Abstract This paper presents a finite element scheme to analyze the buckling behavior of composite shells subjected to thermal and mechanical loads. Firstly, a kind of multi-layered composite shell element with relative degrees-of-freedom is adopted to model laminated composite shells. Then the corresponding temperature element is developed so that the mechanical analysis and the thermal analysis share a common mesh. Moreover, a new criterion of critical heat flux is proposed in stead of the traditional criterion of critical temperature. Finally, the advantage of the proposed scheme is illustrated by calculating the stable region of thermal-mechanical loads for a honeycomb sandwich composite… More >

  • ABSTRACT

    Topology optimization of structures with local and global stress constraints

    J. París1, M. Casteleiro1, F. Navarrina1, I. Colominas1
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.2, No.1, pp. 13-20, 2007, DOI:10.3970/icces.2007.002.013
    Abstract Topology structural optimization problems have been usually stated in terms of a maximum stiffness (minimum compliance) approach. In this kind of formulations, the aim is to distribute a given amount of material in a certain domain, so that the stiffness of the resulting structure is maximized for a given load case. In addition, no stress or displacement constraints are taken into account. This paper presents a different strategy: a minimum weight Finite Element formulation for optimization of continuum structures subjected to stress constraints. We propose two different approaches to take into account the stress constraints in the optimization formulation. The… More >

  • ABSTRACT

    Partitioned Formulation for Solving 3D Frictional Contact Problems with BEM using Localized Lagrange Multipliers

    L. Rodríguez-Tembleque1, J.A. González1, R. Abascal1, K.C. Park2, C.A. Felippa2
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.2, No.1, pp. 21-28, 2007, DOI:10.3970/icces.2007.002.021
    Abstract This work presents an interface treatment method based on localized Lagrange Multipliers (LLM) to solve frictional contact problems between two 3D elastic bodies. The connection between the solids is done using a displacement frame intercalated between the interfaces meshes, and the LLM are collocated at the interface nodes. The Boundary Elements Method (BEM) is used to compute the influence coefficients of the surface points involved, and contact conditions are imposed using projection functions. The LLM provides a partitioned formulation which preserves software modularity, facilitates non-matching meshes treatment and passes the contact patch test [4]. More >

  • ABSTRACT

    Advanced Probabilistic Neural Network for the Prediction of Concrete Strength

    Doo Kie Kim1, Seong Kyu Chang1, Sang Kil Chang1
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.2, No.1, pp. 29-34, 2007, DOI:10.3970/icces.2007.002.029
    Abstract Accurate and realistic strength estimation before the placement of concrete is highly desirable. In this study, the advanced probabilistic neural network (APNN) was proposed to reflect the global probability density function by summing the heterogeneous local probability density function automatically determined in the individual standard deviation of variables. Currently, the estimation of the compressive strength of concrete is performed by a probabilistic neural network (PNN) on the basis of concrete mix proportions, and the PNN is improved by the iteration method. However, an empirical method has been incorporated to specify the smoothing parameter in the PNN technique, causing significant uncertainty… More >

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