Search results for "Modelling and Simulation"

showing 10 items of 97 documents

Errata to “On the instability of an axially moving elastic plate” [Int. J. Solids Struct. 47 (2010) 91–99]

2010

PhysicsMechanical EngineeringApplied MathematicsMechanicsCondensed Matter PhysicsInstabilityClassical mechanicsMaterials Science(all)Mechanics of MaterialsModeling and SimulationModelling and SimulationGeneral Materials SciencestructAxial symmetryInternational Journal of Solids and Structures
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A numerical study of postshock oscillations in slowly moving shock waves

2003

Abstract Godunov-type methods and other shock capturing schemes can display pathological behavior in certain flow situations. This paper discusses the numerical anomaly associated to slowly moving shocks. We present a series of numerical experiments that illustrate the formation and propagation of this pathology, and allows us to establish some conclusions and question some previous conjectures for the source of the numerical noise. A simple diagnosis on an explicit Steger-Warming scheme shows that some intermediate states in the first time steps deviate from the true direction and contaminate the flow structure. A remedy is presented in the form of a new flux split method with an entropy i…

PhysicsShock capturing schemesSlowly moving shocksMechanicsMoving shockFlux split methodsComputational MathematicsNonlinear systems of conservation lawsNumerical noiseComputational Theory and MathematicsModeling and SimulationModelling and SimulationCompressible flowsEntropy (energy dispersal)Computers & Mathematics with Applications
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A mathematical model of counterflow superfluid turbulence describing heat waves and vortex-density waves

2008

The interaction between vortex density waves and high-frequency second sound in counterflow superfluid turbulence is examined, incorporating diffusive and elastic contributions of the vortex tangle. The analysis is based on a set of evolution equations for the energy density, the heat flux, the vortex line density, and the vortex flux, the latter being considered here as an independent variable, in contrast to previous works. The latter feature is crucial in the transition from diffusive to propagative behavior of vortex density perturbations, which is necessary to interpret the details of high-frequency second sound.

PhysicsTurbulenceFluxNon-equilibrium thermodynamicsFOS: Physical sciencesVortexComputer Science ApplicationsSuperfluidityCondensed Matter - Other Condensed MatterClassical mechanicsHeat fluxModeling and SimulationCondensed Matter::SuperconductivityModelling and SimulationSecond soundLine (formation)Other Condensed Matter (cond-mat.other)Mathematical and Computer Modelling
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Characterisation and mitigation of beam-induced backgrounds observed in the ATLAS detector during the 2011 proton-proton run

2013

This paper presents a summary of beam-induced backgrounds observed in the ATLAS detector and discusses methods to tag and remove background contaminated events in data. Triggerrate based monitoring of beam-related backgrounds is presented. The correlations of backgrounds with machine conditions, such as residual pressure in the beam-pipe, are discussed. Results from dedicated beam-background simulations are shown, and their qualitative agreement with data is evaluated. Data taken during the passage of unpaired, i.e. non-colliding, proton bunches is used to obtain background-enriched data samples. These are used to identify characteristic features of beam-induced backgrounds, which then are …

Physics::Instrumentation and DetectorsAccelerator modelling and simulations; multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamicsPROTON BEAMSMonte Carlo methodsingle-particle dynamics01 natural sciencesaccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)High Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)MUON DETECTORcluster findingPIXEL DETECTORSNaturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationQCMathematical PhysicsPhysicsLarge Hadron ColliderPattern recognition cluster finding calibration and fitting methodsAccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)Settore FIS/01 - Fisica SperimentaleObservableATLAScalibration and fitting methodsAccelerator modelling and simulationsCalorimetermedicine.anatomical_structureBunchesAccelerator Modelling and Simulations (Multi-Particle Dynamics Single-Particle Dynamics)Analysis and statistical methodsLHCmulti-particle dynamicsNatural SciencesParticle Physics - ExperimentParticle physicsCiências Naturais::Ciências Físicas530 PhysicsInstrumentationCALORIMETERS:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Nuclear physicssingle-particle dynamics)Atlas (anatomy)Pattern recognition0103 physical sciencesmedicineAccelerator modelling and simulations (multi-particle dynamics single-particle dynamics)High Energy Physicspattern recognition; cluster finding; calibration and fitting methods; single-particle dynamics); analysis and statistical methods; accelerator modelling and simulations (multi-particle dynamics; performance of high energy physics detectorsddc:610010306 general physicsCalibration and fitting methodsScience & Technology010308 nuclear & particles physicsCluster findingFísicaAccelerator modelling and simulations (multi-particle dynamicsAccelerator modelling and simulations (multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamics); Instrumentation; Mathematical PhysicsExperimental High Energy PhysicsPattern recognition; cluster finding; calibration and fitting methods; Performance of High Energy Physics Detectors; Accelerator modelling and simulations (multi-particle dynamics; single-particle dynamics); Analysis and statistical methodsPhysics::Accelerator PhysicsPerformance of High Energy Physics DetectorsEvent (particle physics)
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A measurement of material in the ATLAS tracker using secondary hadronic interactions in 7 TeV pp collisions

2016

Knowledge of the material in the ATLAS inner tracking detector is crucial in understanding the reconstruction of charged-particle tracks, the performance of algorithms that identify jets containing b-hadrons and is also essential to reduce background in searches for exotic particles that can decay within the inner detector volume. Interactions of primary hadrons produced in pp collisions with the material in the inner detector are used to map the location and amount of this material. The hadronic interactions of primary particles may result in secondary vertices, which in this analysis are reconstructed by an inclusive vertex-finding algorithm. Data were collected using minimum-bias trigger…

Physics::Instrumentation and DetectorsCiencias FísicasHadronsecondary [vertex]01 natural sciencesHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [p p]of photons with matter interaction of hadrons with matter etc)tracking detectorInstrumentationGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)Mathematical PhysicsQCPhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)Performance of high energy physics detectorsLarge Hadron ColliderAtlas (topology)DetectorSettore FIS/01 - Fisica Sperimentaleexotic [particle]ATLAStrackingprimary [vertex]CERN LHC CollDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc); Performance of High Energy Physics DetectorsAtlasTellurium compoundsParticle Physics - ExperimentperformanceCIENCIAS NATURALES Y EXACTASParticle physics530 PhysicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]Detector modelling and simulations I (interaction of radiation with matter interactionFOS: Physical sciencesLHC ATLAS High Energy Physics530MaterialNuclear physics510 Mathematics0103 physical sciencesddc:610High Energy Physics010306 general physicsCiencias ExactasScience & Technology010308 nuclear & particles physicstracks [charged particle]backgroundFísica//purl.org/becyt/ford/1.3 [https]triggerAstronomíaExperimental High Energy PhysicsHigh Energy Physics::Experimenthadron
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A new constructive method using the theory of invariants to obtain material behavior laws

2006

International audience; The aim of this paper is to present a constructive method to derive mechanical behavior laws using the Theory of Invariants and Continuum Thermodynamics. More precisely, we want to construct, in a general way, the state or dissipation potential in a polynomial form given a set of variables V and the material symmetry group S. For this purpose, we show how to obtain a set of generators for the S-invariant polynomials of V. Then, using the Grœbner basis concept, we write all the decompositions of a polynomial of a given degree.

PolynomialAnisotropic material[ PHYS.COND.CM-MS ] Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]02 engineering and technologyTheory of invariants01 natural sciencesConstructiveSet (abstract data type)Constitutive behavior lawMaterials Science(all)0203 mechanical engineeringModelling and SimulationGeneral Materials Science0101 mathematicsMathematicsDegree (graph theory)Basis (linear algebra)Group (mathematics)Continuum (topology)Applied MathematicsMechanical EngineeringState (functional analysis)16. Peace & justiceCondensed Matter Physics010101 applied mathematics020303 mechanical engineering & transportsMechanics of MaterialsModeling and SimulationLaw[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]International Journal of Solids and Structures
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The positioning system of the ANTARES Neutrino Telescope

2012

The ANTARES neutrino telescope, located 40km off the coast of Toulon in the Mediterranean Sea at a mooring depth of about 2475m, consists of twelve detection lines equipped typically with 25 storeys. Every storey carries three optical modules that detect Cherenkov light induced by charged secondary particles (typically muons) coming from neutrino interactions. As these lines are flexible structures fixed to the sea bed and held taut by a buoy, sea currents cause the lines to move and the storeys to rotate. The knowledge of the position of the optical modules with a precision better than 10cm is essential for a good reconstruction of particle tracks. In this paper the ANTARES positioning sys…

Positioning systemDetector control systems (detector and experiment monitoring and slow-control systems architecture hardware algorithms databases)Detector modelling and simulations II (electric fieldsDetector alignment and calibration methods (lasers sources particle-beams)01 natural sciencesTiming detectorshardwareDetector alignment and calibration methods010303 astronomy & astrophysicsInstrumentationDETECTOR ALIGMENTMathematical PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsSOUND[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]Orientation (computer vision)[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]DetectorAstrophysics::Instrumentation and Methods for AstrophysicsTriangulation (computer vision)particle-beams)GeodesyDETECTOR CONTROL SYSTEMDetector modelling and simulations II (electric fields charge transport multiplication and induction pulse formation electron emission etc)Física nuclearNeutrinoAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical Phenomenadatabases)sources[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]pulse formationarchitecture[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Astrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesddc:500.2DETECTOR MODELLING AND SIMULATIONSDetector modelling and simulations IIalgorithmsPhysics::Geophysics0103 physical sciences14. Life underwaterInstrumentation and Methods for Astrophysics (astro-ph.IM)Cherenkov radiationetc)multiplication and inductionBuoyDetector control systems010308 nuclear & particles physicsDetector control systems (detector and experiment monitoring and slow-control systemsMooringcharge transport[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Detector alignment and calibration methods (laserselectron emissionFISICA APLICADAdetector modelling and simulations ii (electric fields; antares neutrino telescope; multiplication and induction; charge transport; pulse formation; electron emission; etc); hardware; architecture; timing detectors; detector control systems (detector and experiment monitoring and slow-control systems; algorithms; databases); sources; detector alignment; calibration.; acoustic positioning; detector alignment and calibration methods (lasers; particle-beams)
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A constructive approach of invariants of behavior laws with respect to an infinite symmetry group – Application to a biological anisotropic hyperelas…

2014

Abstract In this paper, six new invariants associated with an anisotropic material made of one fiber family are calculated by presenting a systematic constructive and original approach. This approach is based on the development of mathematical techniques from the theory of invariants: • Definition of the material symmetry group. • Definition of the generalized Reynolds Operator. • Calculation of an integrity basis for invariant polynomials. • Comparison between the new (constructed) invariants and the classical ones.

Pure mathematics02 engineering and technologyTheory of invariantsSymmetry groupConstructiveAnisotropic hyperelastic materialMaterials Science(all)0203 mechanical engineeringModelling and SimulationGeneral Materials ScienceBiomechanicsInvariant (mathematics)AnisotropyMaterial symmetryMathematicsApplied MathematicsMechanical EngineeringMathematical analysis021001 nanoscience & nanotechnologyCondensed Matter Physics020303 mechanical engineering & transportsMechanics of MaterialsModeling and SimulationHyperelastic material[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Reynolds operator0210 nano-technologyInternational Journal of Solids and Structures
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Qualitative analysis of matrix splitting methods

2001

Abstract Qualitative properties of matrix splitting methods for linear systems with tridiagonal and block tridiagonal Stieltjes-Toeplitz matrices are studied. Two particular splittings, the so-called symmetric tridiagonal splittings and the bidiagonal splittings, are considered, and conditions for qualitative properties like nonnegativity and shape preservation are shown for them. Special attention is paid to their close relation to the well-known splitting techniques like regular and weak regular splitting methods. Extensions to block tridiagonal matrices are given, and their relation to algebraic representations of domain decomposition methods is discussed. The paper is concluded with ill…

Pure mathematicsSOR methodTridiagonal matrixLinear systemBlock (permutation group theory)Tridiagonal matrix algorithmDomain decomposition methodsComputer Science::Numerical AnalysisStieltjes-Toeplitz matricesMathematics::Numerical AnalysisAlgebraComputational MathematicsQualitative analysisComputational Theory and MathematicsMatrix splittingModeling and SimulationModelling and SimulationMatrix splitting methodsRegular and weak regular splittingsDomain decompositionAlgebraic numberQualitative analysisMathematicsComputers & Mathematics with Applications
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MATLAB-based simulator of a 5 kW fuel cell for power electronics design

2013

Abstract In the last few years, renewable energies have been encouraged by worldwide governments to meet energy saving policies. Among renewable energy sources, fuel cells have attracted much interest for a wide variety of research areas. Since combined heat-power generation is allowed, household appliances are still the most promising applications. Fuel cell-based residential-scaled power supply systems take advantage by simultaneous generation of power and heat, reducing the overall fossil fuel consumption and utilities cost. Modelling is one of the most important topic concerning fuel cell use. In this paper, a measurement-based steady-state and dynamic fuel cell model is presented. The …

Renewable energyModelling and simulationRenewable Energy Sustainability and the Environmentbusiness.industryComputer scienceHydrogen energyFuel cellEnergy Engineering and Power TechnologyProton exchange membrane fuel cellSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciCondensed Matter PhysicsSettore ING-INF/01 - ElettronicaAutomotive engineeringPower (physics)Renewable energyFuel TechnologyPower electronicsHydrogen fuelErrors-in-variables modelsProton Exchange Membrane Fuel CellbusinessMATLABcomputerEnergy (signal processing)computer.programming_languageInternational Journal of Hydrogen Energy
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