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نمایش تعداد 1-10 از 40

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    A TWO- DIMENSIONAL ADAPTIVE MESH FOR THE COLLOCATION MESHLESS METHOD 

    نوع: Conference Paper
    نویسنده : SHANAZARI, KAMAL; RABIE, NIMA
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    A TWO- DIMENSIONAL ADAPTIVE MESH FOR THE COLLOCATION MESHLESS METHOD 

    نوع: Conference Paper
    نویسنده : SHANAZARI, KAMAL; RABIE, NIMA
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    The numerical solution of the singularly perturbed differential-difference equations based on the Meshless method 

    نوع: Journal Paper
    نویسنده : جعفر صابری نجفی; فهیمه اخوان قصاب زاده; Jafar Saberi- Nadjafi; fa akhavan
    سال: 2014
    خلاصه:

    In this paper, we describe a meshless approach to solve singularly perturbed differential- difference equations of the second order with boundary layer at one end of the interval. In the numerical treatment for such type of problems, first we...

    RBFs meshless method of lines for time dependent PDEs with decomposition of interior and boundary data centers 

    نوع: Journal Paper
    نویسنده : Maryam Arab Ameri; علیرضا سهیلی; Mahdiar Barfeie; Ali Reza Soheili
    سال: 2018
    خلاصه:

    The meshless method of lines (MOL) is proposed for the numerical solution of time dependent partial differential equations (PDEs). After approximating spatial derivatives of equation and boundary condition by radial basis functions the resulting...

    An error indicator for two-dimensional elasticity problems in the discrete least squares meshless method 

    نوع: Conference Paper
    نویسنده : M. Naisipour; M. H. Afshar; بهروز حسنی; M. Zeinali; Behrooz Hassani
    سال: 2009
    خلاصه:

    An error indicator of the discrete least squares method (DLSM) for 2D elastostatic problems is presented.

    In the DLSM, the problem domain is discretized by distributed field nodes. The field nodes are used ...

    Thermo Elastic Wave propagation in functionally graded materials using meshless local Petrov-Galerkin (MLPG) Method 

    نوع: Conference Paper
    نویسنده : سیدمحمود حسینی; J. Sladek; V. Sladek; Seyed Mahmoud Hosseini
    سال: 2011
    خلاصه:

    In this article, thermoelastic wave propagation based on coupled thermoelasticity (without energy dissipation) in Green-Naghdi model is studied for functionally graded (FG) thick hollow cylinder. The meshless local Petrov-Galerkin method...

    Collocation Discrete Least Squares (CDLS) Method for Elasticity Problems and Grid Irregularity Effect Assessment 

    نوع: Journal Paper
    نویسنده : M. Naisipour; M. H. Afshar; بهروز حسنی; A. R. Firoozjaee; Behrooz Hassani
    سال: 2008
    خلاصه:

    A meshless approach, collocation discrete least square (CDLS) method, is extended in this

    paper, for solving elasticity problems and grid irregularity effect is assessed. In the present CDLS

    method, the problem domain is discretized...

    Collocation Discrete Least Square (CDLS) Method for Elasticity Problems 

    نوع: Journal Paper
    نویسنده : Mohammad Naisipour; Mohammad Hadi Afshar; بهروز حسنی; Ali Rahmani Firoozjaee; Behrooz Hassani
    سال: 2009
    خلاصه:

    A meshless approach, collocation discrete least square (CDLS) method, is extended in this paper, for solving elasticity problems. In the present CDLS method, the problem domain is discretized by distributed field nodes. The field nodes are used...

    A node enrichment adaptive refinement in kriging interpolation and Mixed Discrete Least Squares meshless method for solution of elasticity problems 

    نوع: Conference Paper
    نویسنده : Afshar, M.H.; Faraji, S.; Amani, J.
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    Dynamic Analysis of a Layered Cylinder Reinforced by Functionally Graded Carbon Nanotubes Distributions Subjected to Shock Loading using MLPG Method 

    نوع: Journal Paper
    نویسنده : سلیمان قوهستانی; فرزاد شهابیان مقدم; سیدمحمود حسینی; soleiman ghoohestani; Farzad Shahabian Moghadam; Seyed Mahmoud Hosseini
    سال: 2014
    خلاصه:

    In this paper, the meshless local Petrov-Galerkin (MLPG) method is exploited for dynamic analysis of functionally graded nanocomposite cylindrical layered structure reinforced by carbon nanotube subjected to mechanical shock loading. The carbon...

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