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  • Open Access


    Data-Driven Enhanced Combined Finite-Discrete Element Method for Simulating Rock Failure Progress

    Ruifeng Zhao1, Zhijun Wu1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.1, pp. 1-2, 2023, DOI:10.32604/icces.2023.09814

    Abstract The combined finite-discrete element method (FDEM) can effectively simulate the continuousdiscontinuous failure process of rocks, and is now widely adopted to investigate the issues related to rock mechanics and engineering. The conventional FDEM requires pre-defines constitutive models to calculate the element stress from element deformations [1]. However, the constitutive model used in conventional FDEM is obtained by empirical fitting of rock mechanics test data, and large amount of rock physical and mechanical information present in the test data, such as the nonlinear properties of rock presented in the initial compaction stage, are lost in the… More >

  • Open Access


    Deep Learning Applied to Computational Mechanics: A Comprehensive Review, State of the Art, and the Classics

    Loc Vu-Quoc1,*, Alexander Humer2

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1069-1343, 2023, DOI:10.32604/cmes.2023.028130

    Abstract Three recent breakthroughs due to AI in arts and science serve as motivation: An award winning digital image, protein folding, fast matrix multiplication. Many recent developments in artificial neural networks, particularly deep learning (DL), applied and relevant to computational mechanics (solid, fluids, finite-element technology) are reviewed in detail. Both hybrid and pure machine learning (ML) methods are discussed. Hybrid methods combine traditional PDE discretizations with ML methods either (1) to help model complex nonlinear constitutive relations, (2) to nonlinearly reduce the model order for efficient simulation (turbulence), or (3) to accelerate the simulation by predicting… More >

  • Open Access


    Introduction to the Special Issue on Computational Mechanics of Granular Materials and its Engineering Applications

    Shunying Ji1,*, Michael Zhuravkov2, Zongyan Zhou3, Yuntian Feng4

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.1, pp. 1-3, 2022, DOI:10.32604/cmes.2022.023238

    Abstract This article has no abstract. More >

  • Open Access


    Mechanics Based Tomography Using Camera Images

    Sevan Goenezen1,*, Ping Luo1, Baik Jin Kim1, Maulik Kotecha1, Yue Mei2,3

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 46-48, 2019, DOI:10.32604/mcb.2019.07348

    Abstract It is well known that the mechanical properties of tissues may vary spatially due to changing tissue types or due to inherent tissue disease. For example, the biomechanical properties are known to vary throughout blood vessels [1]. Diseases such as cancers may also lead to locally altered mechanical properties, thus allow a preliminary diagnosis via finger palpation. Quantifying the mechanical property distribution of tissues for a given constitutive equation will allow to characterize the biomechanical response of tissues. This may help to 1) predict disease progression, 2) diagnose diseases that alter the biomechanics of the… More >

  • Open Access


    CUDA Techniques in Computational Mechanics

    Peng Wang

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.20, No.4, pp. 117-118, 2011, DOI:10.3970/icces.2011.020.117

    Abstract Current trends in high performance computing (HPC) are moving towards the availability of several cores on the same chip of contemporary processors in order to achieve speed-up through the extraction of potential fine-grain parallelism of applications. The trend is led by GPUs, which have been developed exclusively for computational tasks as massively-parallel co-processors to the CPU. During 2010 an extensive set of new HPC architectural feature were developed in the third generation of NVIDIA GPUs (Fermi), giving computational mechanics an opportunity to expand use of GPU modelling and simulation.

    This presentation will examine examples relevant More >

  • Open Access


    Applications of Computational Mechanics on Advanced Film-Type Nano/Micro Structures

    Chang-Chun Lee

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.4, pp. 193-193, 2019, DOI:10.32604/icces.2019.05407

    Abstract Over the past half-century, the pivotal concepts and theories of solid mechanics was maturely developed to describe the mechanical responses of meso-scaled structure. From the viewpoint of traditional solid mechanics, the major concerns of developed analytic solutions were to investigate the mechanical responses of bulk-scaled material. However, the abundance of novel nano/micro process and corresponding material structures with unique mechanical behavior revealed that the limitation of traditional solid mechanics. For this reason, this research is mainly devoted to review the application of computational mechanics on nano/micro structures. As a result of this review paper, application… More >

  • Open Access


    A new Fragile Points Method (FPM) in Computational Mechanics, Based on the Concepts of Point Stiffnesses and Numerical Flux Corrections

    Tian Yang1, Leiting Dong1,*, Satya N. Atluri2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.4, pp. 76-76, 2019, DOI:10.32604/icces.2019.05078

    Abstract In this paper, a new method, named the Fragile Points Method (FPM), is developed for computer modeling in engineering and sciences. In the FPM, simple, local, polynomial, discontinuous and Point-based trial and test functions are proposed based on randomly scattered points in the problem domain. The local discontinuous polynomial trial and test functions are postulated by using the Generalized Finite Difference method. These functions are only piece-wise continuous over the global domain. By implementing the Point-based trial and test functions into the Galerkin weak form, we define the concept of Point Stiffnesses as the contribution… More >

  • Open Access


    About the POD Model Reduction in Computational Mechanics for Nonlinear Continuous Dynamical Systems

    R. Sampaio1, C. Soize2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.2, No.4, pp. 93-100, 2007, DOI:10.3970/icces.2007.002.093

    Abstract An analysis of the efficiency of the reduced models constructed using the POD-basis and the LIN-basis is presented in nonlinear dynamics for continuous elastic systems discretized by the finite element method. The POD-basis is the basis constructed with the POD method while the LIN-basis is the basis derived from the generalized eigenvalue problem associated with the underlying linear conservative part of the system and usually called the eigenmodes of vibration. The efficiency of the POD-basis or the LIN-basis is related to the speed of convergence in the frequency domain of the solution constructed with the More >

  • Open Access


    Mechanical Modelling of Confined Cell Migration Across Constricted-curved Micro-channels

    R. Allena*,†

    Molecular & Cellular Biomechanics, Vol.11, No.3, pp. 185-208, 2014, DOI:10.3970/mcb.2014.011.185

    Abstract Confined migration is a crucial phenomenon during embryogenesis, immune response and cancer. Here, a two-dimensional finite element model of a HeLa cell migrating across constricted–curved micro-channels is proposed. The cell is modelled as a continuum with embedded cytoplasm and nucleus, which are described by standard Maxwell viscoelastic models. The decomposition of the deformation gradient is employed to define the cyclic active strains of protrusion and contraction, which are synchronized with the adhesion forces between the cell and the substrate. The micro-channels are represented by two rigid walls and exert an additional viscous force on the… More >

  • Open Access


    Preface: Nano/Micro Structures in Application of Computational Mechanics

    Chang-Chun Lee1,*, Nien-Ti Tsou2, Taek-Soo Kim3

    CMES-Computer Modeling in Engineering & Sciences, Vol.120, No.2, pp. 235-237, 2019, DOI:10.32604/cmes.2019.07807

    Abstract This article has no abstract. More >

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