Home / Journals / CMES / Vol.95, No.2, 2013
Table of Content
  • Open Access

    ARTICLE

    Brittle Fracture and Hydroelastic Simulations based on Moving Particle Simulation

    R.A. Amaro Junior1, L.Y. Cheng1
    CMES-Computer Modeling in Engineering & Sciences, Vol.95, No.2, pp. 87-118, 2013, DOI:10.3970/cmes.2013.095.087
    Abstract In this paper simulations of brittle fracture and hydroelastic problems are carried out by using a numerical approach based on the Moving Particle Simulation (MPS) method. It is a meshless method used to model both fluid and elastic solid, and all the computational domain is discretized in Lagrangian particles. A higher order accuracy gradient operator is used herein by adopting a correction matrix. Also, in order to correctly simulate the collision of the fragments, a contact detection algorithm that takes into account the presence of the solid surfaces generated by brittle fracture is proposed. In case of fluid-structure interaction, a… More >

  • Open Access

    ARTICLE

    Novel Graph-based Adaptive Triangular Mesh Refinement for Finite-volume Discretizations

    Sanderson L. Gonzaga de Oliveira1, Mauricio Kischinhevsky2, João Manuel R. S. Tavares3
    CMES-Computer Modeling in Engineering & Sciences, Vol.95, No.2, pp. 119-141, 2013, DOI:10.3970/cmes.2013.095.119
    Abstract A novel graph-based adaptive mesh refinement technique for triangular finite-volume discretizations in order to solve second-order partial differential equations is described. Adaptive refined meshes are built in order to solve timedependent problems aiming low computational costs. In the approach proposed, flexibility to link and traverse nodes among neighbors in different levels of refinement is admitted; and volumes are refined using an approach that allows straightforward and strictly local update of the data structure. In addition, linear equation system solvers based on the minimization of functionals can be easily used; specifically, the Conjugate Gradient Method. Numerical and analytical tests were carried… More >

  • Open Access

    ARTICLE

    Universal Reliability Method for Structural Models with Both Random and Fuzzy Variables

    Zichun Yang1,2,3, Kunfeng Li1,4, Qi Cai1
    CMES-Computer Modeling in Engineering & Sciences, Vol.95, No.2, pp. 143-171, 2013, DOI:10.3970/cmes.2013.095.143
    Abstract The conventional probabilistic reliability model for structures is based on the “probability assumption” and “binary-state assumption”. These assumptions are often offset the reality of practical engineering and lead to a wrong conclusion. In fact, besides randomness, fuzziness which is different from randomness in nature is also a prevalent uncertainty factor and plays an important role in structural reliability assessment. In this paper, a novel structural reliability model with random variables and fuzzy variables is established by using the fuzzy set theory, possibility theory and probability measure for fuzzy events, based on the “mixed probability and possibility assumption” and “fuzzy state… More >

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