Local radial basis function collocation method for bending analyses of quasicrystal plates

被引:16
|
作者
Chiang, Y. C. [1 ,2 ]
Young, D. L. [1 ,2 ]
Sladek, J. [3 ]
Sladek, V. [3 ]
机构
[1] Natl Taiwan Univ, Dept Civil Engn, Taipei 10617, Taiwan
[2] CoreTech Moldex3D, Chupei 30265, Taiwan
[3] Slovak Acad Sci, Inst Construct & Architecture, Bratislava 84503, Slovakia
关键词
Local radial basis function collocation; method; Orthorhombic quasicrystal; Reissner-Mindlin theory; Phonon and phason displacements; PARTIAL-DIFFERENTIAL-EQUATIONS; COMPUTATIONAL FLUID-DYNAMICS; SHAPE PARAMETER SELECTION; DATA APPROXIMATION SCHEME; MESH-FREE METHODS; DIFFUSION-PROBLEMS; ELASTICITY THEORY; WAVE-EQUATIONS; ORDER; INTERPOLATION;
D O I
10.1016/j.apm.2017.05.051
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The local radial basis function collocation method (LRBFCM) is proposed for plate bending analysis in orthorhombic quasicrystals (QCs) under static and transient dynamic loads. Three common types of the plate bending problems are considered: (1) QC plates resting on Winkler foundation (2) QC plates with variable thickness and (3) QC plates under a transient dynamic load. According to the Reissner Mindlin plate bending theory, there is allowed to simulate the behavior of the two excitations in QC plates, phonon and phason, by 2D strong formulations for the system of governing equations. The governing equations, which describe the phason displacements, are based on Agiasofitou and Lazar elastodynamic model. Numerical results demonstrate the effect of the elastic foundation, as well as plate thickness on the phonon and phason characteristics in this paper. For the transient dynamic analysis, the influence of the phason friction coefficients on the responses of QC plate to transient dynamic loads is also studied. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:463 / 483
页数:21
相关论文
共 50 条
  • [31] LOCAL RADIAL BASIS FUNCTION COLLOCATION METHOD FOR SOLVING THERMO-MECHANICS OF HOT SHAPE ROLLING OF STEEL
    Hanoglu, U.
    Sarler, B.
    [J]. COMPUTATIONAL METHODS FOR COUPLED PROBLEMS IN SCIENCE AND ENGINEERING V, 2013, : 116 - 126
  • [32] A local radial basis function collocation method for band structure computation of phononic crystals with scatterers of arbitrary geometry
    Zheng, H.
    Yang, Z.
    Zhang, Ch
    Tyrer, M.
    [J]. APPLIED MATHEMATICAL MODELLING, 2018, 60 : 447 - 459
  • [33] Local radial basis function collocation method along with explicit time stepping for hyperbolic partial differential equations
    Siraj-ul-Islam
    Vertnik, R.
    Sarler, B.
    [J]. APPLIED NUMERICAL MATHEMATICS, 2013, 67 : 136 - 151
  • [34] Simulation of Hot Shape Rolling of Steel in Continuous Rolling Mill by Local Radial Basis Function Collocation Method
    Hanoglu, U.
    Sarler, B.
    [J]. CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2015, 109 (05): : 447 - 479
  • [35] Low and Intermediate Re Solution of Lid Driven Cavity Problem by Local Radial Basis Function Collocation Method
    Mramor, K.
    Vertnik, R.
    Sarler, B.
    [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2013, 36 (01): : 1 - 21
  • [36] A local radial basis function collocation method for band structure computation of 3D phononic crystals
    Zheng, H.
    Zhang, Ch
    Yang, Z.
    [J]. APPLIED MATHEMATICAL MODELLING, 2020, 77 : 1954 - 1964
  • [37] Finite subdomain radial basis collocation method
    Fuyun Chu
    Lihua Wang
    Zheng Zhong
    [J]. Computational Mechanics, 2014, 54 : 235 - 254
  • [38] Dynamic Analysis of Electrostatic Actuators Using Radial Basis Function Collocation Method
    Hsu, Ming-Hung
    [J]. ICIEA 2010: PROCEEDINGS OF THE 5TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOL 3, 2010, : 447 - 452
  • [39] Finite subdomain radial basis collocation method
    Chu, Fuyun
    Wang, Lihua
    Zhong, Zheng
    [J]. COMPUTATIONAL MECHANICS, 2014, 54 (02) : 235 - 254
  • [40] Explicit radial basis function collocation method for computing shallow water flows
    Chaabelasri, Elmiloud
    Jeyar, Mohammed
    Borthwick, Alistair G. L.
    [J]. SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS2018), 2019, 148 : 361 - 370