Search results for "Discretization"

showing 10 items of 237 documents

Damping effect on the ITER vacuum vessel displacements during slow downward locked and rotating asymmetric vertical displacement events

2018

Abstract In this paper, we present the electromechanical coupled analysis of the ITER vacuum vessel in case of slow downward locked and rotating Asymmetric VDEs. The numerical model for simulating the AVDE includes the asymmetric distribution of the halo currents obtained by a suitable 3D kink perturbation of a slow VDE downward computed by the 2D code DINA. In the case of a rotational AVDE, the rotation frequency of the kink asymmetry has been chosen to be ω = 2π × 5 rad/s. The model includes the mesh of the main passive components facing the plasma. The whole torus (360 degrees) has been discretized. It is shown that the very high complexity of the numerical model can be suitably treated.…

Discretizationmedia_common.quotation_subjectPerturbation (astronomy)Asymmetric VDE load01 natural sciencesAsymmetryVibration010305 fluids & plasmasEddy current0103 physical sciencesMagnetic DampingGeneral Materials ScienceVertical displacementmedia_commonCivil and Structural Engineering010302 applied physicsPhysicsMechanical EngineeringTorusMechanicsPlasmaITER vacuum vesselNuclear Energy and Engineeringvisual_artElectronic componentvisual_art.visual_art_mediumElectromagneto-mechanical couplingHaloMaterials Science (all)
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The effect of round-off error on long memory processes

2011

We study how the round-off (or discretization) error changes the statistical properties of a Gaussian long memory process. We show that the autocovariance and the spectral density of the discretized process are asymptotically rescaled by a factor smaller than one, and we compute exactly this scaling factor. Consequently, we find that the discretized process is also long memory with the same Hurst exponent as the original process. We consider the properties of two estimators of the Hurst exponent, namely the local Whittle (LW) estimator and the Detrended Fluctuation Analysis (DFA). By using analytical considerations and numerical simulations we show that, in presence of round-off error, both…

Economics and EconometricsDiscretizationGaussianMathematics - Statistics TheoryStatistics Theory (math.ST)long memory processeFOS: Economics and businesssymbols.namesakeStatisticsFOS: MathematicsApplied mathematicsMathematicsHurst exponentStatistical Finance (q-fin.ST)Observational errorQuantitative Finance - Statistical FinanceEstimatordetrended fluctuation analysiround-off errorlong memory processesAutocovariancesymbolsDetrended fluctuation analysisRound-off errorSocial Sciences (miscellaneous)Analysismeasurement errorlocal Whittle estimator
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Corrective meshless particle formulations for time domain Maxwell's equations

2007

AbstractIn this paper a meshless approximation of electromagnetic (EM) field functions and relative differential operators based on particle formulation is proposed. The idea is to obtain numerical solutions for EM problems by passing up the mesh generation usually required to compute derivatives, and by employing a set of particles arbitrarily placed in the problem domain. The meshless Smoothed Particle Hydrodynamics method has been reformulated for solving the time domain Maxwell's curl equations. The consistency of the discretized model is investigated and improvements in the approximation are obtained by modifying the numerical process. Corrective algorithms preserving meshless consiste…

Electromagnetic fieldRegularized meshless methodMathematical optimizationDiscretizationNumerical analysisApplied MathematicsMeshless particle methodMaxwell's equationSmoothed particle hydrodynamicsElectromagnetic transientsSmoothed-particle hydrodynamicssymbols.namesakeSettore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaComputational MathematicsMaxwell's equationsMaxwell's equationsMesh generationsymbolsElectromagnetic transientApplied mathematicsTime domainMathematicsJournal of Computational and Applied Mathematics
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Near-field properties of plasmonic nanostructures with high aspect ratio

2014

International audience; Using the Green's dyad technique based on cuboidal meshing, we compute the electromagnetic field scattered by metal nanorods with high aspect ratio. We investigate the effect of the meshing shape on the numerical simulations. We observe that discretizing the object with cells with aspect ratios similar to the object's aspect ratio improves the computations, without degrading the convergency. We also compare our numerical simulations to finite element method and discuss further possible improvements.

Electromagnetic field[PHYS]Physics [physics]RadiationMaterials science[ PHYS ] Physics [physics]DiscretizationCondensed Matter - Mesoscale and Nanoscale PhysicsComputationFOS: Physical sciencesNear and far fieldComputational Physics (physics.comp-ph)Condensed Matter PhysicsAspect ratio (image)Finite element methodComputational physicsMesoscale and Nanoscale Physics (cond-mat.mes-hall)NanorodElectrical and Electronic EngineeringPlasmonic nanostructuresPhysics - Computational Physics
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Abstract Estimates of the Rate of Convergence for Optimal Control Problems

1997

A method for solving optimal control problems with general elliptic operators is presented and analyzed. Especially, estimates of the rate of convergence for the control problems with the proposed approach are derived independently of the underlying approximation method. Some numerical experiments with the proposed method are included.

Elliptic operatorElliptic curveMathematical optimizationControl and OptimizationDiscretizationRate of convergenceApplied MathematicsState constraintOptimal controlControl (linguistics)MathematicsApplied Mathematics and Optimization
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Influence of the Hourly Variation of Temperature on the Estimation of Fatigue Damage and Rutting in Flexible Pavement Design

2004

The work presented in this paper offers a contribution to understand to what extent different discretization modes for describing a whole day can affect the estimation of in-service durability of a flexible pavement, in relation with concomitant traffic flow fluctuations. Calculation of the stress–strain state was carried out with an elastic multi-layer model, and performance laws were implemented for verification of the major distress mechanisms that are able to affect the prediction of a flexible pavement’s service life. Results from the prediction of the fatigue life allow one to conclude that no big mistakes are made when evaluating the total damage by describing climatic conditions via…

EngineeringDiscretizationRutbusiness.industryWork (physics)Structural engineeringDeformation (meteorology)Traffic flowDurabilityTEMPERATURE FLEXIBLE PAVEMENT RUTTING CRACKINGMechanics of MaterialsAsphaltService lifebusinessCivil and Structural EngineeringInternational Journal of Pavement Engineering
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Speed and rotor flux estimation of induction motors via on-line adjusted extended kalman filter

2006

This paper deals with the estimation of speed and rotor flux of induction motors via Extended Kalman Filter (EKF) with on-line adjusting of the system noise covariance matrix. The predictor of EKF consists of a discrete time model obtained by means of a second order discretization of the original nonlinear model of the induction motor. In order to obtain accurate estimation of the above mentioned variables, the load torque is included in the state variables and then estimated. Three different system noise models are also illustrated and compared each other by simulations carried out in Matlab/Simulink environment. For one of these models, EKF is adjusted on-line by means of an additional PI…

EngineeringDiscretizationStatorbusiness.industryCovariance matrixCovariance matrixKalman filterSensorless controlInvariant extended Kalman filterlaw.inventionExtended Kalman filterExtended Kalman filterNoiseSettore ING-INF/04 - AutomaticalawControl theoryInduction motorbusinessEstimationInduction motor
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MRAS speed observer for high performance linear induction motor drives based on linear neural networks

2011

This paper proposes a Neural Network (NN) MRAS (Model Reference Adaptive System) speed observer suited for linear induction motor (LIM) drives. The voltage and current models of the LIM in the stationary reference frame, taking into consideration the end effects, have been obtained. Then, equations of the induced part have been discretized and rearranged so as to be represented by a linear neural network the TLS EXIN neuron, which has been used to compute the machine linear speed on-line and in recursive form. The proposed NN MRAS observer has been tested experimentally on a suitably developed test setup. Its performance has been also compared to the classic MRAS speed observer.

EngineeringObserver (quantum physics)Artificial neural networkDiscretizationControl theorybusiness.industryAdaptive systemLinear induction motorbusinessMRASStationary Reference FrameMachine control2011 IEEE Energy Conversion Congress and Exposition
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Monte Carlo simulation for the response analysis of long-span suspended cables under wind loads

2004

This paper presents a time-domain approach for analyzing nonlinear random vibrations of long-span suspended cables under transversal wind. A consistent continuous model of the cable, fully accounting for geometrical nonlinearities inherent in cable behavior, is adopted. The effects of spatial correlation are properly included by modeling wind velocity fluctuation as a random function of time and of a single spatial variable ranging over cable span, namely as a one-variate bi-dimensional (1V-2D) random field. Within the context of a Galerkin`s discretization of the equations governing cable motion, a very efficient Monte Carlo-based technique for second-order analysis of the response is prop…

EngineeringRandom fieldDiscretizationSuspended cablebusiness.industrysuspended cable; wind velocity random field; Proper Orthogonal DecompositionMonte Carlo methodRandom functionBuilding and ConstructionMechanicsStructural engineeringAerodynamicsProper orthogonal decompositionWind speedVibrationNonlinear systemModeling and SimulationWind velocityRandom fieldNonlinear vibrationDigital simulationbusinessCivil and Structural EngineeringWind and Structures
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Finite-element Discretizations of Semiconductor Energy-transport Equations

2003

Energy-transport models describe the flow of electrons in a semiconductor crystal. Several formulations of these models, in the primal or dual entropy variables or in the drift-diffusion-type variables, are reviewed. A numerical discretization of the steady-state drift-diffusion-type formulation using mixed-hybrid finite elements introduced by Marini and Pietra is presented. The scheme is first applied to the simulation of a one-dimensional ballistic diode with non-parabolic band diagrams. Then a two-dimensional deep submicron MOSFET device with parabolic bands is simulated, using an adaptively refined mesh.

EngineeringSemiconductorComputer simulationDiscretizationbusiness.industryMOSFETMathematical analysisElectronic engineeringElectronEntropy (energy dispersal)businessFinite element methodDiode
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