Search results for "Monte Carlo simulation."

showing 10 items of 95 documents

Stochastic analysis of motorcycle dynamics

2011

Off-road and racing motorcycles require a particular setup of the suspensions to improve the comfort and the safety of the rider, maintaining a continuous contact between the road and the motorcycle (by means of the tires). Further, because of the ground roughness, in the case of offroad motorcycle, suspensions usually experience extreme and erratic excursions (suspension stroke) in performing their function. In this regard, the adoption of nonlinear devices can, perhaps, limit both the acceleration experienced by the sprung mass and the excursions of the suspensions. This leads to the consideration of asymmetric nonlinearly-behaving suspensions. This option, however, induces the difficulty…

Stochastic processStatistical linearization Autoregressive models Monte Carlo simulation Nonlinear devices.Bicycle and motorcycle dynamicsStatistical physicsSettore ICAR/08 - Scienza Delle CostruzioniMathematics
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Simulation analysis of cold chain performance based on time–temperature data

2011

Perishable goods are a fundamental source of revenue for the retail sector; their management, however, constitutes a severe challenge for retailers and supply chain partners. A significant cost in particular is the fraction of products perished through the supply chain, which also constitutes an ethical and environmental concern. Supply chain organisation and operative characteristics have a significant influence on this matter, as in fact ensuring suitable temperature conditions for the stock-keeping units throughout the supply chain is mandatory for perishable products. Recent developments in sensing and communication technologies allow detailed monitoring and control of cold chain; howev…

Supply chain risk managementSupply chain managementMonte Carlo Simulation; shelf lifeStrategy and Managementmedia_common.quotation_subjectSupply chainService managementManagement Science and Operations ResearchMonte Carlo Simulation shelf lifeIndustrial and Manufacturing EngineeringComputer Science ApplicationsProduct (business)CommerceRevenueQuality (business)BusinessCold chainIndustrial organizationmedia_common
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Island Diffusion on Metal fcc (100) Surfaces

1999

We present Monte Carlo simulations for the size and temperature dependence of the diffusion coefficient of adatom islands on the Cu(100) surface. We show that the scaling exponent for the size dependence is not a constant but a decreasing function of the island size and approaches unity for very large islands. This is due to a crossover from periphery dominated mass transport to a regime where vacancies diffuse inside the island. The effective scaling exponents are in good agreement with theory and experiments.

Surface (mathematics)Condensed Matter - Materials ScienceMaterials scienceCondensed matter physicsPhysicsCrossoverMonte Carlo methodMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesGeneral Physics and Astronomyfcc(100) surfaceFunction (mathematics)Monte Carlo simulationsadatomAlisland diffusionExponentDiffusion (business)Constant (mathematics)ScalingCuPhysical Review Letters
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Experimental and theoretical evidence of overcharging of calcium silicate hydrate

2007

International audience; Electrokinetic measurements such as electrophoresis may show an inversion of the effective surface charge of colloidal particle called overcharging. This phenomenon has been studied by various theoretical approaches but up to now very few attempts of confrontation between theory and experiment have been conducted. In this work we report electrophoretic measurements as well as Monte Carlo simulations of the electrokinetic potential for the surface of calcium silicate hydrate (Csingle bondSsingle bondH), which is the major constituent of hydrated cement. In the simulations, the surface charge of Csingle bondSsingle bondH nanoparticles in equilibrium with the ionic solu…

Surface PropertiesAnalytical chemistry02 engineering and technology010402 general chemistry01 natural sciencesBiomaterialsElectrokinetic phenomenachemistry.chemical_compoundColloid and Surface ChemistryZeta potentialElectrochemistrySurface chargeColloidsCalcium silicate hydrateParticle SizeMonte Carlo simulationRange (particle radiation)Physics::Biological PhysicsQuantitative Biology::BiomoleculesCalcium silicate hydrateSilicatesWaterZeta potentialCalcium Compounds021001 nanoscience & nanotechnologyElectrostatics0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic Materials[ PHYS.PHYS.PHYS-CHEM-PH ] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]ElectrophoresisKineticschemistryModels ChemicalChemical physicsSurface charge titrationOverchargingCalcium silicateNanoparticles[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]0210 nano-technologyMonte Carlo Method
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Noise features in InP semiconductors operating under static or sub-Terahertz electric fields

2014

The sensitivity of semiconductor based circuits is strongly affected by the presence of intrinsic noise, which limits the performance of electronic devices. For this reason, several studies have investigated and characterized the transport properties of hot-electrons in semiconductor structures, by analyzing the electronic noise in systems operating under static and/or large-signal periodic driving conditions. Previous studies on electron velocity fluctuations in III-V and covalent semiconductor crystals, driven by periodic electric fields, have shown that the total noise power depends on both the amplitude and the frequency of the excitation signals. On the other hand, to the best of our k…

Tera-Hertz fieldsNoise featureInP crystalMonte Carlo simulationSettore FIS/03 - Fisica Della Materia
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A probabilistic approach to radiant field modeling in dense particulate systems

2016

Radiant field distribution is an important modeling issue in many systems of practical interest, such as photo-bioreactors for algae growth and heterogeneous photo-catalytic reactors for water detoxification.In this work, a simple radiant field model suitable for dispersed systems showing particle size distributions, is proposed for both dilute and dense two-phase systems. Its main features are: (i) only physical, independently assessable parameters are involved and (ii) its simplicity allows a closed form solution, which makes it suitable for inclusion in a complete photo-reactor model, where also kinetic and fluid dynamic sub-models play a role. A similar model can be derived by making us…

Work (thermodynamics)EngineeringField (physics)General Chemical EngineeringSettore ING-IND/25 - Impianti ChimiciMonte Carlo methodINGENIERÍAS Y TECNOLOGÍAS02 engineering and technology010402 general chemistry01 natural sciencesIndustrial and Manufacturing EngineeringMONTE CARLO SIMULATIONRADIANT FIELD MODELINGChemical Engineering (all)Statistical physicsSimulationMonte Carlo simulationDENSE PARTICULATE SYSTEMPlane (geometry)business.industryApplied MathematicsChemistry (all)Probabilistic logicStatistical modelDense particulate systemGeneral Chemistry021001 nanoscience & nanotechnology0104 chemical sciencesIngeniería QuímicaApplied MathematicPHOTO-BIOREACTORSOtras Ingeniería QuímicaPhoto-bioreactorClosed-form expression0210 nano-technologyFocus (optics)businessPHOTO-CATALYSISPhoto-catalysiRadiant field modeling
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Methodology for assessment of measuring uncertainties of articulated arm coordinates measuring machine

2014

International audience; The Articulated Arm Coordinate Measuring Machines (AACMM) have gradually evolved and are increasingly used in mechanic industry. At present, measurement uncertainties relating to the use of these devices are not yet well-quantified. The work carried out consists on determining the measurement uncertainties of a mechanical part by an Articulated Arm Coordinate Measuring Machine. The studies aiming to develop a model of measurement uncertainties are based on the Monte Carlo method developed in Supplement 1 of the Guide to Expression of Uncertainty in Measurement [1] but also identifying and characterizing the main sources of uncertainty. A Multi-level Monte Carlo appro…

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]0209 industrial biotechnologyComputer scienceApplied MathematicsMonte Carlo methodWork (physics)Uncertainty[PHYS.MECA.GEME]Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]Monte Carlo SimulationControl engineering02 engineering and technologyCoordinate-measuring machineArticulated Arm Coordinate Measuring Machine01 natural sciencesExpression (mathematics)[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]010309 optics020901 industrial engineering & automation0103 physical sciences[ PHYS.MECA.GEME ] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]CalibrationMeasurement uncertaintyPoint (geometry)InstrumentationEngineering (miscellaneous)
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Calcul des contributions des incertitudes dans un modèle complexe de qualité de l'eau

2010

The quantification of uncertainty in integrated urban drainage water quality models is of paramount interest. Indeed, the assessment of the reliability of the model results for complex water quality models is useful for understanding the significance of the results. However, the state of knowledge regarding uncertainties in urban drainage models is poor. In the case of integrated urban drainage water quality models, due to the fact that integrated approaches are basically a cascade of sub-models (simulating sewer system, wastewater treatment plant and receiving water body), the uncertainty produced in one sub-model propagates to the following ones depending on the model structure, the estim…

[SDE.IE]Environmental Sciences/Environmental EngineeringSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia[SDE.IE] Environmental Sciences/Environmental EngineeringMonte Carlo simulation sensitivity analysis uncertainty analysis variance decompositionNetworksRéseaux
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Highly Defined, Colloid‐Like Ionic Clusters in Solution

2012

Many societal challenges at the beginning of the 21st century lead to an apparent and growing need for functional materials and novel ways of materials synthesis and assembly. Rising to the challenge, the utilization of small, self-assembling building blocks for the bottom-up construction of new types of polymers and nanostructures has enjoyed increasing popularity among materials researchers in the recent past. Supramolecular materials like foldamers, surface films, nanoparticles, etc. are created by exploiting noncovalent forces [1] leading to an ordered arrangement of nanoscale building blocks. [2] In the search for new polymers based on noncovalent molecular forces, we are motivated by …

chemistry.chemical_classificationNanostructureChemistrySupramolecular chemistryNanoparticleIonic bondingdynamic light scatteringNanotechnologyself-assemblyGeneral ChemistryPolymerCommunicationsmolecular dynamicsnanoscale electrostaticsMonte Carlo simulationsSupramolecular polymersMolecular dynamicsSelf-assemblyChemistryOpen
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Third virial coefficient for 4-arm and 6-arm star polymers

2008

We discuss the computation of the third virial coefficient in polymer systems, focusing on an additional contribution absent in the case of monoatomic fluids. We determine the interpenetration ratio and several quantities that involve the third virial coefficient for star polymers with 4 and 6 arms in the good-solvent regime, in the limit of a large degree of polymerization.

chemistry.chemical_classificationPhysicsMonatomic gasStatistical Mechanics (cond-mat.stat-mech)Polymers and PlasticsOrganic ChemistryMonte Carlo methodFOS: Physical sciencesThermodynamicsPolymerStatistical mechanicsDegree of polymerizationCondensed Matter - Soft Condensed MatterCondensed Matter Physicsmonte carlo simulations; star polymers; statistical mechanics; statistical thermodynamics; virial expansionInorganic ChemistrychemistryVirial coefficientMaterials ChemistryVirial expansionSoft Condensed Matter (cond-mat.soft)Limit (mathematics)Condensed Matter - Statistical Mechanics
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