Search results for "Monte Carlo method."

showing 10 items of 1217 documents

Fatigue life estimation for 30CrNiMo8 steel under in- and out-of-phase combined bending and torsion with variable amplitudes

1996

Fatigue life successively calculated according to three criteria of multiaxial fatigue for randomly varying loading is compared with fatigue life obtained by Sanetra and Zenner in testing cylindrical specimens of 30CrNiMo8 steel by in- and out-of-phase bending and torsion with variable amplitudes. The position of the plane of fatigue fracture is determined using the variance method. The histories of equivalent stresses are schematically represented by the Monte Carlo method. Fatigue damage was computed using the Palmgren-Miner hypothesis. The most realistic estimates of fatigue life in the scatter band of the results with a factor of 3 are obtained on the basis of the criterion of maximum t…

Variance methodStructural materialMaterials sciencebusiness.industryMechanical EngineeringMonte Carlo methodTorsion (mechanics)Structural engineeringCondensed Matter PhysicsOut of phaseAmplitudeMechanics of MaterialsSolid mechanicsShear stressGeneral Materials SciencebusinessMaterials Science
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Direct evaluation of the equivalent linear damping for TLCD systems in random vibration for pre-design purposes

2014

Abstract Passive control of structural vibrations has received in recent years a great attention from researchers concerned with vibration control. Several types of devices have been proposed in order to reduce the dynamic responses of different kinds of structural systems. Among them, the Tuned Liquid Column Damper (TLCD) proved to be very effective in reducing vibration of structures. Since the increasing use of TLCDs in practical realizations, this paper aims at developing an approximate formulation, by means of a statistical linearization technique, able to estimate the parameters of a structure equipped with a TLCD subjected to random loads for pre-design purposes. Moreover, it is show…

VibrationStatistical linearizationMechanics of MaterialsComputer scienceControl theoryApplied MathematicsMechanical EngineeringMonte Carlo methodStructural systemVibration controlRandom vibrationDamperPassive controlInternational Journal of Non-Linear Mechanics
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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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Spinodal decomposition of a two-dimensional model alloy with mobile vacancies

1991

Abstract Monte Carlo simulations are performed for the initial stages of phase separation in a model binary alloy (AB), where unmixing is caused by a repulsive energy between atoms of different kind ( e AA = e BB = e ), and a small fraction c v of mobile vacancies is present (typically c v = 0.04.) Unlike previous work, where interdiffusion was modelled in an unrealistic way by direct interchange of A and B atoms for c v = 0, were use the vacancy mechanism of diffusion: A-atoms may jump to vacant sites with a rate Γ A and B-atoms may jump to vacant sites with a rate Γ B , no direct A–B interchange being permitted. It is shown that the overall time-scale on which phase separation proceeds ty…

Work (thermodynamics)Materials scienceSpinodal decompositionScatteringVacancy defectMonte Carlo methodGeneral EngineeringThermodynamicsDiffusion (business)AnisotropyStructure factorActa Metallurgica et Materialia
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Kramers potential study of the Rouse-like dynamics of short alkane chains.

1999

In this work we present a Kramers potential study of the orientational dynamics and shear viscosity of short chain alkanes. In this approach the determination of the orientational relaxation time is reduced to the calculation of static moments of single chain conformations. We study a chemically realistic alkane model that asymptotically produces Gaussian chain conformations by means of a Monte Carlo simulation. Our results are applicable to single chain descriptions of polymer melt dynamics and to the intrinsic viscosity of molecules in a Theta solvent. When we map the unknown time unit of our relaxation time result for one particular chain length and temperature to the value obtained for …

Work (thermodynamics)Molecular dynamicsMaterials scienceChain (algebraic topology)Intrinsic viscosityMonte Carlo methodDynamic Monte Carlo methodTheta solventThermodynamicsStatistical physicsMonte Carlo molecular modelingPhysical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
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Monte Carlo Simulation of a Homopolymer−Copolymer Mixture Interacting with a Surface: Bulk versus Surface Micelles and Brush Formation

2008

Using Monte Carlo simulations of the bond fluctuation model, we study the formation of micelles in a confined mixture of asymmetric AB-diblock copolymers and homopolymers. The composition of the sphere-forming AB-diblock copolymers is fA = 1/8. The mixture is confined into a thin film. The film surfaces attract the minority component of the diblock with strength, eW. To efficiently sample the micelle size distribution and establish equilibrium between the surface and the bulk, we work in the semigrandcanonical ensemble, i.e. at fixed density and fixed chemical potential difference between the two types of chains, choosing a large incompatibility χN ≃ 100 (strong segregation regime). The com…

Work (thermodynamics)Morphology (linguistics)Polymers and PlasticsChemistryComponent (thermodynamics)Organic ChemistryMonte Carlo method02 engineering and technology010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesMicelle[PHYS.COND.CM-SCM] Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft]0104 chemical sciencesInorganic ChemistryAdsorptionChemical physicsMaterials ChemistryCopolymerStatistical physicsThin film0210 nano-technology[PHYS.COND.CM-SCM]Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft]ComputingMilieux_MISCELLANEOUSMacromolecules
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Quasi-isoactinic reactor for photocatalytic kinetics studies

2007

Photochemical reactors characterized by almost uniform values of the local volumetric rate of photon absorption (LVRPA), i.e., quasi-isoactinic photoreactors, are particularly suitable for assessing the influence of radiant field intensity in kinetic studies. In this work, Monte Carlo simulations have been performed to obtain LVRPA values in a flat photoreactor irradiated on both sides. This configuration appears to be particularly suitable for obtaining quasi-isoactinic conditions. The influence of catalyst albedo and scattering phase function is assessed, and the conditions for obtaining iso-actinicity are discussed. Finally, these conditions are related to an easy-to-measure parameter, n…

Work (thermodynamics)Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciGeneral Chemical EngineeringSettore ING-IND/25 - Impianti ChimiciMonte Carlo methodThermodynamicsPhotochemical reactorParticleKinetic energyIndustrial and Manufacturing EngineeringLight scatteringRadiation absorptionOpticsTransmittanceAbsorption (electromagnetic radiation)Heterogeneous photoreactorRadiant fieldChemistrybusiness.industryScatteringWaterGeneral ChemistryPhotocatalysisLight-scatteringAstrophysics::Earth and Planetary AstrophysicsbusinessModel
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Methods to Compute Pressure and Wall Tension in Fluids containing Hard Particles

2011

Colloidal systems are often modelled as fluids of hard particles (possibly with an additional soft attraction, e.g. caused by polymers also contained in the suspension). in simulations of such systems, the virial theorem cannot be straightforwardly applied to obtain the components of the pressure tensor. In systems confined by walls, it is hence also not straightforward to extract the excess energy due to the wall (the "wall tension") from the pressure tensor anisotropy. A comparative evaluation of several methods to circumvent this problem is presented, using as examples fluids of hard spheres and the Asakura-Oosawa model of colloid-polymer mixtures with a size ratio $q=0.15$ (for which th…

Yield (engineering)Materials scienceStatistical Mechanics (cond-mat.stat-mech)Tension (physics)Monte Carlo methodGeneral Physics and AstronomyFOS: Physical sciencesStatistical and Nonlinear PhysicsMechanicsHard spheresCondensed Matter - Soft Condensed MatterVirial theoremComputer Science ApplicationsSuspension (chemistry)Condensed Matter::Soft Condensed MatterComputational Theory and MathematicsSoft Condensed Matter (cond-mat.soft)TensorAnisotropyMathematical PhysicsCondensed Matter - Statistical Mechanics
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On the origin of the halo stabilization

2012

Monte Carlo simulations show that charge-regulation alone can cause highly charged zirconium nanoparticles to adsorb to a similarly charged or neutral silica particle and thereby stabilizing the latter. This mechanism, referred to as halo stabilization, is quite general and applicable in a range of systems provided that pH, van der Waals forces, and dissociation constants of the charge-regulating particles are properly chosen. In our modeling we see an overall attraction at low volume fractions of nanoparticles, while at higher a repulsive barrier is created, stabilizing the microparticles and protecting them from aggregation. The charge-regulation mechanism also turns the silica surface fr…

ZirconiumRange (particle radiation)Monte Carlo methodPhysics::OpticsGeneral Physics and Astronomychemistry.chemical_elementNanoparticle02 engineering and technology010402 general chemistry021001 nanoscience & nanotechnology01 natural sciences0104 chemical sciencessymbols.namesakeAdsorptionchemistryChemical physicsTheoretical chemistrysymbolsHalo[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Physical and Theoretical Chemistryvan der Waals forceAtomic physics0210 nano-technologyComputingMilieux_MISCELLANEOUS
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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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