Search results for " Smoothed Particle Hydrodynamics"

showing 9 items of 9 documents

Highlighting numerical insights of an efficient SPH method

2018

Abstract In this paper we focus on two sources of enhancement in accuracy and computational demanding in approximating a function and its derivatives by means of the Smoothed Particle Hydrodynamics method. The approximating power of the standard method is perceived to be poor and improvements can be gained making use of the Taylor series expansion of the kernel approximation of the function and its derivatives. The modified formulation is appealing providing more accurate results of the function and its derivatives simultaneously without changing the kernel function adopted in the computation. The request for greater accuracy needs kernel function derivatives with order up to the desidered …

Computer scienceApplied MathematicsGaussianComputation010103 numerical & computational mathematicsFunction (mathematics)01 natural sciences010101 applied mathematicsSmoothed-particle hydrodynamicsComputational Mathematicssymbols.namesakeSettore MAT/08 - Analisi NumericaKernel based methods Smoothed Particle Hydrodynamics Accuracy Convergence Improved fast Gaussian transform.Convergence (routing)symbolsTaylor seriesGaussian function0101 mathematicsFocus (optics)Algorithm
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Improved fast Gauss transform for meshfree electromagnetic transients simulations

2019

Abstract In this paper improved fast summations are introduced to enhance a meshfree solver for the evolution of the electromagnetic fields over time. The original method discretizes the time-domain Maxwell’s curl equations via Smoothed Particle Hydrodynamics requiring many summations on the first derivatives of the kernel function and field vectors at each time step. The improved fast Gauss transform is properly adopted picking up the computational cost and the memory requirement at an acceptable level preserving the accuracy of the computation. Numerical simulations in two-dimensional domains are discussed giving evidence of improvements in the computation compared to the standard formula…

Electromagnetic fieldCurl (mathematics)Numerical approximation Improve fast Gauss transform Smoothed Particle Hydrodynamics Maxwell’s equationsApplied MathematicsComputation010102 general mathematicsGauss transformTime stepSolver01 natural sciences010101 applied mathematicsSmoothed-particle hydrodynamicsSettore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaApplied mathematics0101 mathematicsMathematics
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Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy—Benchmark Analysis with Finite-Element Methods in Experimental Data

2022

Computational models of cardiac electrophysiology are promising tools for reducing the rates of non-response patients suitable for cardiac resynchronization therapy (CRT) by optimizing electrode placement. The majority of computational models in the literature are mesh-based, primarily using the finite element method (FEM). The generation of patient-specific cardiac meshes has traditionally been a tedious task requiring manual intervention and hindering the modeling of a large number of cases. Meshless models can be a valid alternative due to their mesh quality independence. The organization of challenges such as the CRT-EPiggy19, providing unique experimental data as open access, enables b…

Fluid Flow and Transfer Processessmoothed particle hydrodynamicsProcess Chemistry and TechnologyGeneral Engineeringcardiac resynchronization therapyelectrophysiology[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsCRT-EPiggy19 challenge[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemPotencials evocats (Electrofisiologia)Informàticaparameter optimisation[INFO.INFO-IM]Computer Science [cs]/Medical Imagingelectrophysiology; parameter optimisation; smoothed particle hydrodynamics; meshless model; cardiac resynchronization therapy; CRT-EPiggy19 challengeGeneral Materials ScienceInstrumentationmeshless modelApplied Sciences; Volume 12; Issue 13; Pages: 6438
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The Poisson problem: A comparison between two approaches based on SPH method

2012

Abstract In this paper two approaches to solve the Poisson problem are presented and compared. The computational schemes are based on Smoothed Particle Hydrodynamics method which is able to perform an integral representation by means of a smoothing kernel function by involving domain particles in the discrete formulation. The first approach is derived by means of the variational formulation of the Poisson problem, while the second one is a direct differential method. Numerical examples on different domain geometries are implemented to verify and compare the proposed approaches; the computational efficiency of the developed methods is also studied.

Integral representationApplied MathematicsMathematical analysisFunction (mathematics)Domain (software engineering)Smoothed-particle hydrodynamicsSettore MAT/08 - Analisi NumericaComputational MathematicsVariational principleApplied mathematicsPoisson problem Meshless method Smoothed Particle Hydrodynamics Consistency restoring Variational principle Differential methodSmoothing kernelPoisson problemDifferential methodMathematicsApplied Mathematics and Computation
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A normalized iterative Smoothed Particle Hydrodynamics method

2020

Abstract In this paper we investigate on a normalized iterative approach to improve the Smoothed Particle Hydrodynamics (SPH) estimate of a function. The method iterates on the residuals of an initial SPH approximation to obtain a more accurate solution. The iterative strategy preserves the matrix-free nature of the method, does not require changes on the kernel function and it is not affected by disordered data distribution. The iterative refinement is further improved by ensuring linear approximation order to the starting iterative values. We analyze the accuracy and the convergence of the method with the standard and normalized formulation giving evidence of the enhancements obtained wit…

Numerical AnalysisGeneral Computer ScienceApplied Mathematics010103 numerical & computational mathematics02 engineering and technologyFunction (mathematics)01 natural sciencesDomain (mathematical analysis)Theoretical Computer ScienceSmoothed-particle hydrodynamicsSettore MAT/08 - Analisi NumericaDistribution (mathematics)Iterated residuals Normalized Smoothed Particle Hydrodynamics Accuracy ConvergenceIterated functionIterative refinementModeling and SimulationConvergence (routing)0202 electrical engineering electronic engineering information engineeringApplied mathematics020201 artificial intelligence & image processingLinear approximation0101 mathematicsMathematics
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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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Consistency Restoring in SPH for Trigonometric Functions Approximation

2009

Settore MAT/08 - Analisi NumericaMeshless particle methods Smoothed Particle Hydrodynamics method Consistency restoring Function approximation
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First Experiences on an Accurate SPH Method on GPUs

2017

It is well known that the standard formulation of the Smoothed Particle Hydrodynamics is usually poor when scattered data distribution is considered or when the approximation near the boundary occurs. Moreover, the method is computational demanding when a high number of data sites and evaluation points are employed. In this paper an enhanced version of the method is proposed improving the accuracy and the efficiency by using a HPC environment. Our implementation exploits the processing power of GPUs for the basic computational kernel resolution. The performance gain demonstrates the method to be accurate and suitable to deal with large sets of data.

SpeedupExploitGPUsComputer scienceComputer Networks and CommunicationsGPUSmoothed Particle Hydrodynamics method010103 numerical & computational mathematics01 natural sciencesComputational scienceSmoothed-particle hydrodynamicsInstruction setSettore MAT/08 - Analisi NumericaArtificial IntelligenceAccuracy; Approximation; GPUs; Kernel function; Smoothed particle hydrodynamics method; Speed-Up; Artificial Intelligence; Computer Networks and Communications; 1707; Signal Processing0101 mathematicsApproximationAccuracy1707Random access memoryLinear systemKernel functionSpeed-Up010101 applied mathematicsKernel (statistics)Signal Processing
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Enhancing the Iterative Smoothed Particle Hydrodynamics Method

2021

Motivated by recent research on the iterative approach proposed for the smoothed particle hydrodynamics (ISPH) method, some ideas to improve the process are introduced. The standard procedure is enhanced iterating on the residuals preserving the matrix-free nature of the process. The method is appealing providing reasonable results with disordered data distribution too and no kernel variations are needed in the approximation. This work moves forward with a novel formulation requiring a lower number of iterations to reach a desired accuracy. The computational procedure is described and some results are introduced to appreciate the proposed formulation.

smoothed particle hydrodynamics02 engineering and technologylcsh:Technology01 natural scienceslcsh:ChemistrySmoothed-particle hydrodynamicsSettore MAT/08 - Analisi Numerica0202 electrical engineering electronic engineering information engineeringGeneral Materials Science0101 mathematicslcsh:QH301-705.5InstrumentationFluid Flow and Transfer ProcessesPhysicslcsh:TProcess Chemistry and TechnologyGeneral Engineering020206 networking & telecommunicationsMechanicslcsh:QC1-999Computer Science Applications010101 applied mathematicskernel methodresidualslcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040lcsh:Engineering (General). Civil engineering (General)lcsh:PhysicsKernel method Residuals Smoothed particle hydrodynamicsApplied Sciences
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