Search results for "meshless method"

showing 10 items of 30 documents

A Meshless Method for Image Reconstruction

2009

Settore MAT/08 - Analisi NumericaImage reconstructionSmoothed Particle HydrodynamicMeshless method
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ADVANCED MESHLESS NUMERICAL METHODS AND APPLICATIONS

Settore MAT/08 - Analisi NumericaMESHLESS METHOD APPROXIMATION BIO-MATHEMATICS DYNAMICAL SYSTEM SEPARATRIX MOVING LEAST SQUARE SMOOTHED PARTICLE HYDRODYNAMICS IMPROVED FAST GAUSSIAN
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Smoothed Particle Electromagnetics Modelling on HPC-GRID Environment

2012

In this paper a meshless approach on a high performance grid computing environment to run fast onerous electromagnetic numerical simulations, is presented. The grid computing and the message passing interface standard have been employed to improve the computational efficiency of the Smoothed Particle Electromagnetics meshless solver adopted. Applications involving an high number of particles can run on a grid computational environment simulating complex domains not accessible before and offer a promising approach for the coupling of particle models to continuous models. The used meshless solver is straightforward to program and fully parallelizable. The results of the parallel numerical sch…

Settore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaElectromagnetic Simulation Grid Computing Meshless method Smoothed Particle Electromagnetics
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Unconditionally stable meshless integration of Maxwell's eqautions

2013

Settore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaMaxwell's equationsMeshless methodleapfrog ADI
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On a regularized approach for the method of fundamental solution

2018

The method of fundamental solution is a boundary meshless method recently adopted in the framework of non-invasive neu- roimaging techniques. The method approximates the solution of a BVP by a linear combination of fundamental solutions of the governing PDE. A crucial feature of the method is the placement of the fictitious boundary to avoid the singularities of fundamental solutions. In this paper we report on our experiences with a regularized MFS method in the neuroimaging context.

Settore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaMethod of fundamental solutionMeshless methodPDE
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Estimating the temperature evolution of foodstuffs during freezing with a 3D meshless numerical method

2015

Abstract Freezing processes are characterised by sharp changes in specific heat capacity and thermal conductivity for temperatures close to the freezing point. This leads to strong nonlinearities in the governing PDE that may be difficult to resolve using traditional numerical methods. In this work we present a meshless numerical method, based on a local Hermite radial basis function collocation approach in finite differencing mode, to allow the solution of freezing problems. By introducing a Kirchhoff transformation and solving the governing equations in Kirchhoff space, the strength of nonlinearity is reduced while preserving the structure of the heat equation. In combination with the hig…

Work (thermodynamics)Regularized meshless methodRadial basis functionNonlinear heat conductionApplied MathematicsNumerical analysisMathematical analysisGeneral EngineeringMeshleKirchhoff transformationFreezing pointPiecewise linear functionComputational MathematicsNonlinear systemThermal conductivityFreezingSettore ING-IND/10 - Fisica Tecnica IndustrialeHeat equationPhase changeAnalysisMathematicsEngineering Analysis with Boundary Elements
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Towards an efficient meshfree solver

2016

In this paper we focus on the enhancement in accuracy approximating a function and its derivatives via smoothed particle hydrodynamics. We discuss about improvements in the solution by reformulating the original method by means of the Taylor series expansion and by projecting with the kernel function and its derivatives. The accuracy of a function and its derivatives, up to a fixed order, can be simultaneously improved by assuming them as unknowns of a linear system. The improved formulation has been assessed with gridded and scattered data points distribution and the convergence has been analyzed referring to a case study in a 2D domain.

convergenceaccuracyLinear systemFunction (mathematics)SolverSmoothed-particle hydrodynamicssymbols.namesakeSettore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaData pointConvergence (routing)Taylor seriessymbolsmeshless methodFocus (optics)AlgorithmMathematics
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Dynamic analysis of magneto-electro-elastic structures by a meshless approach

2011

magneto-electro-elastic structuresMeshless methodSettore ING-IND/04 - Costruzioni E Strutture Aerospaziali
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SPH method: numerical investigations and applications

2018

In this paper we discuss on the enhancements in accuracy and computational demanding in approx- imating a function and its derivatives via Smoothed Particle Hydrodynamics. The standard method is widely used nowadays in various physics and engineering applications [1],[2],[3]. However it suffers of low approximation accuracy at boundaries or when scattered data distributions are con- sidered. In this paper we discuss on some numerical behaviors of the method. Some variants of the process are analyzed and results on the accuracy and the computational demanding, dealing with different sets of data and bivariate functions, are proposed.

meshless methodsSettore MAT/08 - Analisi NumericaSPH
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Dynamic Analysis of Piezoelectric Structures by the Displacement Boundary Method

2009

variational BEMmeshless methodSettore ING-IND/04 - Costruzioni E Strutture AerospazialiPiezoelectric dynamic
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