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  • Open Access

    ABSTRACT

    A 3D multi-physics boundary element computational framework for polycrystalline materials micro-mechanics

    Ivano Benedetti1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.23, No.1, pp. 4-6, 2021, DOI:10.32604/icces.2021.08213

    Abstract A recently developed novel three-dimensional (3D) computational framework for the analysis of polycrystalline materials at the grain scale is described in this lecture. The framework is based on the employment of: i) 3D Laguerre-Voronoi tessellations for the representation of the micro-morphology of polycrystalline materials; ii) boundary integral equations for the representation of the mechanics of the individual grains; iii) suitable cohesive traction-separation laws for the representation of the multi-physics behavior of the interfaces (either inter-granular or trans-granular) within the aggregate, which are the seat of damage initiation and evolution processes, up to complete decohesion and failure. The lecture will describe More >

  • Open Access

    ARTICLE

    On Ductile Damage Modelling of Heterogeneous Material Using Second-Order Homogenization Approach

    Jurica Sorić*, Tomislav Lesičar, Zdenko Tonković

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.3, pp. 915-934, 2021, DOI:10.32604/cmes.2021.014142

    Abstract The paper deals with the numerical modelling of ductile damage responses in heterogeneous materials using the classical second-order homogenization approach. The scale transition methodology in the multiscale framework is described. The structure at the macrolevel is discretized by the triangular C1 finite elements obeying nonlocal continuum theory, while the discretization of microstructural volume element at the microscale is conducted by means of the mixed type quadrilateral finite element with the nonlocal equivalent plastic strain as an additional nodal variable. The ductile damage evolution at the microlevel is modelled by using the gradient enhanced elastoplasticity. The macrolevel… More >

  • Open Access

    ARTICLE

    Deep 3D-Multiscale DenseNet for Hyperspectral Image Classification Based on Spatial-Spectral Information

    Haifeng Song1, Weiwei Yang1,*, Haiyan Yuan2, Harold Bufford3

    Intelligent Automation & Soft Computing, Vol.26, No.6, pp. 1441-1458, 2020, DOI:10.32604/iasc.2020.011988

    Abstract There are two main problems that lead to unsatisfactory classification performance for hyperspectral remote sensing images (HSIs). One issue is that the HSI data used for training in deep learning is insufficient, therefore a deeper network is unfavorable for spatial-spectral feature extraction. The other problem is that as the depth of a deep neural network increases, the network becomes more prone to overfitting. To address these problems, a dual-channel 3D-Multiscale DenseNet (3DMSS) is proposed to boost the discriminative capability for HSI classification. The proposed model has several distinct advantages. First, the model consists of dual… More >

  • Open Access

    ARTICLE

    Multiscale Isogeometric Topology Optimization with Unified Structural Skeleton

    Chen Yu1, Qifu Wang1, ∗, Chao Mei1, Zhaohui Xia1

    CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.3, pp. 779-803, 2020, DOI:10.32604/cmes.2020.09363

    Abstract This paper proposes a multiscale isogeometric topology optimization (ITO) method where the configuration and layout of microstructures are optimized simultaneously. At micro scale, a shape deformation method is presented to transform a prototype microstructure (PM) for obtaining a series of graded microstructures (GMs), where microstructural skeleton based on the level set framework is applied to retain more topology features and improve the connectability. For the macro scale calculation, the effective mechanical properties can be estimated by means of the numerical homogenization method. By adopting identical non-uniform rational basis splines (NURBS) as basis functions for both More >

  • Open Access

    ARTICLE

    Microstructural Modeling and Multiscale Mechanical Properties Analysis of Cancellous Bone

    Zhiqiang Huang1, 2, Yufeng Nie1, *, Yiqiang Li1

    CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 245-265, 2020, DOI:10.32604/cmc.2020.06284

    Abstract This paper is devoted to the microstructure geometric modeling and mechanical properties computation of cancellous bone. The microstructure of the cancellous bone determines its mechanical properties and a precise geometric modeling of this structure is important to predict the material properties. Based on the microscopic observation, a new microstructural unit cell model is established by introducing the Schwarz surface in this paper. And this model is very close to the real microstructure and satisfies the main biological characteristics of cancellous bone. By using the unit cell model, the multiscale analysis method is newly applied to More >

  • Open Access

    ARTICLE

    Multiscale Analysis of the Effect of Debris on Fretting Wear Process Using a Semi-Concurrent Method

    Shengjie Wang1, Tongyan Yue2, Magd Abdel Wahab3, 4, *

    CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 17-35, 2020, DOI:10.32604/cmc.2020.07790

    Abstract Fretting wear is a phenomenon, in which wear happens between two oscillatory moving contact surfaces in microscale amplitude. In this paper, the effect of debris between pad and specimen is analyzed by using a semi-concurrent multiscale method. Firstly, the macroscale fretting wear model is performed. Secondly, the part with the wear profile is imported from the macroscale model to a microscale model after running in stage. Thirdly, an effective pad’s radius is extracted by analyzing the contact pressure in order to take into account the effect of the debris. Finally, the effective radius is up-scaled More >

  • Open Access

    ABSTRACT

    An Isogeometric Analysis Computational Platform for Material Transport Simulation in Complex Neurite Networks

    Angran Li1, Xiaoqi Chai2, Ge Yang2,3, Yongjie Jessica Zhang1,2,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 66-66, 2019, DOI:10.32604/mcb.2019.07633

    Abstract Neurons exhibit remarkably complex geometry in their neurite networks. So far, how materials are transported in the complex geometry for survival and function of neurons remains an unanswered question. Answering this question is fundamental to understanding the physiology and disease of neurons. Here, we have developed an isogeometric analysis (IGA) based platform for material transport simulation in neurite networks. We modeled the transport process by reaction-diffusion-transport equations and represented geometry of the networks using truncated hierarchical tricubic B-splines (THB-spline3D). We solved the Navier-Stokes equations to obtain the velocity field of material transport in the networks. More >

  • Open Access

    ABSTRACT

    Multiscale Modeling of Clathrin-Mediated Endocytosis

    Padmini Rangamani1,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 22-22, 2019, DOI:10.32604/mcb.2019.08513

    Abstract Endocytosis is the process of uptake of cargo and fluid from the extracellular space to inside the cell; defects in endo- cytosis contribute to a wide spectrum of diseases including cancer, neurodegeneration, and heart disease. Clathrin- mediated endocytosis (CME) is an archetypal example of a membrane deformation process where multiple variables such as pre-existing membrane curvature, membrane bending due to the protein machinery, membrane tension regulation, and actin-mediated forces govern the progression of vesiculation. My group has been working for the past few years on deciphering the biophysical determinants of CME using multiscale modeling. We… More >

  • Open Access

    ARTICLE

    Statistical Multiscale Analysis of Transient Conduction and Radiation Heat Transfer Problem in Random Inhomogeneous Porous Materials

    Yiqiang Li1, Liang Ma2, Zhiqiang Yang3, Xiaofei Guan4, Yufeng Nie1, Zihao Yang1, 2

    CMES-Computer Modeling in Engineering & Sciences, Vol.115, No.1, pp. 1-24, 2018, DOI:10.3970/cmes.2018.115.001

    Abstract This paper is devoted to the homogenization and statistical multiscale analysis of a transient heat conduction problem in random porous materials with a nonlinear radiation boundary condition. A novel statistical multiscale analysis method based on the two-scale asymptotic expansion is proposed. In the statistical multiscale formulations, a unified linear homogenization procedure is established and the second-order correctors are introduced for modeling the nonlinear radiative heat transfer in random perforations, which are our main contributions. Besides, a numerical algorithm based on the statistical multiscale method is given in details. Numerical results prove the accuracy and efficiency More >

  • Open Access

    ABSTRACT

    Multiscale simulation for long chain polymer using MD/continuum hybrid method

    Y. Senda, M. Fujio, S. Shimamura, J. Blomqvist, R. M Nieminen

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.18, No.3, pp. 93-94, 2011, DOI:10.3970/icces.2011.018.093

    Abstract Atomistic molecular dynamics simulation for"polymer melts has been performed inten-sively and revealed the dynamical behavior of atomistic"chain structure in the melt. These atomistic"calculations, however, have been limited by the massive computational costs because of macroscopic properties of long chain polymer. It would be highly de-sirable to use a multiscale approach covering atomistic and macroscopic behavior of the polymer melt. We have developed computational method coupling atomic model and continuum model [1] and applied the method to polymer melt consisted of the long chain polymers. The polymer molecule is coarse-grained into meso-scopic model by so-called spring- More >

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