Search results for "modeling"

showing 10 items of 4489 documents

Fractional characteristic times and dissipated energy in fractional linear viscoelasticity

2016

Abstract In fractional viscoelasticity the stress–strain relation is a differential equation with non-integer operators (derivative or integral). Such constitutive law is able to describe the mechanical behavior of several materials, but when fractional operators appear, the elastic and the viscous contribution are inseparable and the characteristic times (relaxation and retardation time) cannot be defined. This paper aims to provide an approach to separate the elastic and the viscous phase in the fractional stress–strain relation with the aid of an equivalent classical model (Kelvin–Voigt or Maxwell). For such equivalent model the parameters are selected by an optimization procedure. Once …

Numerical AnalysisDifferential equationApplied MathematicsMathematical analysisConstitutive equationLoss and storage modulusStiffnessDissipated energy Fractional calculus in linear viscoelasticity Fractional creep and relaxation times Loss and storage modulusHarmonic (mathematics)02 engineering and technologyDissipationDissipated energy021001 nanoscience & nanotechnologyViscoelasticityViscosity020303 mechanical engineering & transports0203 mechanical engineeringModeling and SimulationmedicineRelaxation (physics)Fractional creep and relaxation timemedicine.symptom0210 nano-technologyFractional calculus in linear viscoelasticityMathematics
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A physical approach to the connection between fractal geometry and fractional calculus

2014

Our goal is to prove the existence of a connection between fractal geometries and fractional calculus. We show that such a connection exists and has to be sought in the physical origins of the power laws ruling the evolution of most of the natural phenomena, and that are the characteristic feature of fractional differential operators. We show, with the aid of a relevant example, that a power law comes up every time we deal with physical phenomena occurring on a underlying fractal geometry. The order of the power law depends on the anomalous dimension of the geometry, and on the mathematical model used to describe the physics. In the assumption of linear regime, by taking advantage of the Bo…

Numerical AnalysisDifferential equationMultivariable calculusMathematical analysisTime-scale calculusFractional calculusConnection (mathematics)Applied Mathematicsymbols.namesakeSuperposition principleFractalModeling and SimulationBoltzmann constantsymbolsMathematicsICFDA'14 International Conference on Fractional Differentiation and Its Applications 2014
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Step-by-step integration for fractional operators

2018

Abstract In this paper, an approach based on the definition of the Riemann–Liouville fractional operators is proposed in order to provide a different discretisation technique as alternative to the Grunwald–Letnikov operators. The proposed Riemann–Liouville discretisation consists of performing step-by-step integration based upon the discretisation of the function f(t). It has been shown that, as f(t) is discretised as stepwise or piecewise function, the Riemann–Liouville fractional integral and derivative are governing by operators very similar to the Grunwald–Letnikov operators. In order to show the accuracy and capabilities of the proposed Riemann–Liouville discretisation technique and th…

Numerical AnalysisDiscretizationApplied Mathematics02 engineering and technologyFunction (mathematics)DerivativeWhite noise01 natural sciences010305 fluids & plasmasExponential functionFractional calculus020303 mechanical engineering & transports0203 mechanical engineeringModeling and SimulationStep function0103 physical sciencesPiecewiseApplied mathematicsFractional Calculus Riemman–Liouville Grünwald–Letnikov Discrete fractional operatorsMathematics
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On the Stochastic Response of a Fractionally-damped Duffing Oscillator

2012

A numerical method is presented to compute the response of a viscoelastic Duffing oscillator with fractional derivative damping, subjected to a stochastic input. The key idea involves an appropriate discretization of the fractional derivative, based on a preliminary change of variable, that allows to approximate the original system by an equivalent system with additional degrees of freedom, the number of which depends on the discretization of the fractional derivative. Unlike the original system that, due to the presence of the fractional derivative, is governed by non-ordinary differential equations, the equivalent system is governed by ordinary differential equations that can be readily h…

Numerical AnalysisDiscretizationDifferential equationApplied MathematicsNumerical analysisMathematical analysisStochastic responseDuffing equationViscoelasticityFractional calculusNumerical integrationModeling and SimulationOrdinary differential equationFractional derivative dampingSeries expansionSettore ICAR/08 - Scienza Delle CostruzioniMathematics
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Semipredictable dynamical systems

2015

A new class of deterministic dynamical systems, termed semipredictable dynamical systems, is presented. The spatiotemporal evolution of these systems have both predictable and unpredictable traits, as found in natural complex systems. We prove a general result: The dynamics of any deterministic nonlinear cellular automaton (CA) with $p$ possible dynamical states can be decomposed at each instant of time in a superposition of $N$ layers involving $p_{0}$, $p_{1}$,... $p_{N-1}$ dynamical states each, where the $p_{k\in \mathbb{N}}$, $k \in [0, N-1]$ are divisors of $p$. If the divisors coincide with the prime factors of $p$ this decomposition is unique. Conversely, we also prove that $N$ CA w…

Numerical AnalysisDynamical systems theoryCellular Automata and Lattice Gases (nlin.CG)Applied MathematicsComplex systemFOS: Physical sciencesMathematical Physics (math-ph)Nonlinear Sciences - Chaotic Dynamics01 natural sciencesCellular automaton010305 fluids & plasmasCombinatoricsNonlinear systemSuperposition principleModeling and Simulation0103 physical sciencesPrime factorChaotic Dynamics (nlin.CD)Moufang loop010306 general physicsNonlinear Sciences - Cellular Automata and Lattice GasesMathematical PhysicsMathematicsCommunications in Nonlinear Science and Numerical Simulation
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Active controlled structural systems under delta-correlated random excitation: linear and nonlinear case

2006

Abstract Reduction of structural vibration in active controlled dynamical system is usually performed by means of convenient control forces dependent of the dynamic response. In this paper the existent studies will be extended to dynamical systems subjected to non-Gaussian random process accounting for the time delay involved in the application of active control actions. Control forces acting with time-delay effects will be expanded in Taylor series evaluating response statistics by means of the extended Ito differential rule to consider the effects of the non-normality of the input processes. Numerical application provided shows the feasibility of the proposed method to analyze stochastic …

Numerical AnalysisDynamical systems theoryStochastic processApplied MathematicsMonte Carlo methodStochastic analysisDynamical systemComputational methodNonlinear systemsymbols.namesakeControl theoryModeling and SimulationDynamic Monte Carlo methodTaylor seriessymbolsReduction (mathematics)Mathematics
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A posteriori error estimates for a Maxwell type problem

2009

In this paper, we discuss a posteriori estimates for the Maxwell type boundary-value problem. The estimates are derived by transformations of integral identities that define the generalized solution and are valid for any conforming approximation of the exact solution. It is proved analytically and confirmed numerically that the estimates indeed provide a computable and guaranteed bound of approximation errors. Also, it is shown that the estimates imply robust error indicators that represent the distribution of local (inter-element) errors measured in terms of different norms. peerReviewed

Numerical AnalysisExact solutions in general relativityDistribution (number theory)Modeling and SimulationWeak solutionCalculusA priori and a posterioriApplied mathematicsType (model theory)MathematicsRussian Journal of Numerical Analysis and Mathematical Modelling
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Convergence of a finite volume scheme for the compressible Navier–Stokes system

2019

We study convergence of a finite volume scheme for the compressible (barotropic) Navier–Stokes system. First we prove the energy stability and consistency of the scheme and show that the numerical solutions generate a dissipative measure-valued solution of the system. Then by the dissipative measure-valued-strong uniqueness principle, we conclude the convergence of the numerical solution to the strong solution as long as the latter exists. Numerical experiments for standard benchmark tests support our theoretical results.

Numerical AnalysisFinite volume methodApplied Mathematics010103 numerical & computational mathematics01 natural sciences010101 applied mathematicsComputational MathematicsConsistency (statistics)Modeling and SimulationBarotropic fluidConvergence (routing)Dissipative systemCompressibilityBenchmark (computing)Applied mathematicsUniqueness0101 mathematicsAnalysisMathematicsESAIM: Mathematical Modelling and Numerical Analysis
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The MAST FV/FE scheme for the simulation of two-dimensional thermohaline processes in variable-density saturated porous media

2009

A novel methodology for the simulation of 2D thermohaline double diffusive processes, driven by heterogeneous temperature and concentration fields in variable-density saturated porous media, is presented. The stream function is used to describe the flow field and it is defined in terms of mass flux. The partial differential equations governing system is given by the mass conservation equation of the fluid phase written in terms of the mass-based stream function, as well as by the advection-diffusion transport equations of the contaminant concentration and of the heat. The unknown variables are the stream function, the contaminant concentration and the temperature. The governing equations sy…

Numerical AnalysisFinite volume methodPartial differential equationPhysics and Astronomy (miscellaneous)Differential equationApplied MathematicsMathematical analysisScalar potentialFinite element methodComputer Science ApplicationsComputational MathematicsModeling and SimulationStream functionPotential flowConvection–diffusion equationMathematicsJournal of Computational Physics
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Asymptotic preserving IMEX finite volume schemes for low Mach number Euler equations with gravitation

2017

In this paper we will present and analyze a new class of the IMEX finite volume schemes for the Euler equations with a gravity source term. We will in particular concentrate on a singular limit of weakly compressible flows when the Mach number M1. In order to efficiently resolve slow dynamics we split the whole nonlinear system in a stiff linear part governing the acoustic and gravity waves and a non-stiff nonlinear part that models nonlinear advection effects. For time discretization we use a special class of the so-called globally stiffly accurate IMEX schemes and approximate the stiff linear operator implicitly and the non-stiff nonlinear operator explicitly. For spatial discretization t…

Numerical AnalysisFinite volume methodPhysics and Astronomy (miscellaneous)DiscretizationApplied MathematicsMathematical analysis010103 numerical & computational mathematics01 natural sciencesComputer Science ApplicationsEuler equations010101 applied mathematicsLinear mapComputational Mathematicssymbols.namesakeNonlinear systemMach numberModeling and SimulationStability theorysymbolsCompressibility0101 mathematicsMathematicsJournal of Computational Physics
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