Search results for "Linear"

showing 10 items of 7165 documents

Stochastic seismic analysis of multidegree of freedom systems

1984

Abstract A unconditionally stable step-by-step procedure is proposed to evaluate the mean square response of a linear system with several degrees of freedom, subjected to earthquake ground motion. A non-stationary modulated random process, obtained as the product of a deterministic time envelope function and a stationary noise, is used to simulate earthquake acceleration. The accuracy of the procedure and its extension to nonlinear systems are discussed. Numerical examples are given for a hysteretic system, a duffing oscillator and a linear system with several degrees of freedom.

Stochastic processMathematical analysisLinear systemDegrees of freedom (statistics)stochastic analysisDuffing equationAcceleration (differential geometry)earthquakes; probability theory; stochastic analysisSeismic analysisNonlinear systemEarthquake simulationControl theoryprobability theoryearthquakesCivil and Structural EngineeringMathematics
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Dynamics analysis of distributed parameter system subjected to a moving oscillator with random mass, velocity and acceleration

2002

Abstract The problem of calculating the response of a distributed parameter system excited by a moving oscillator with random mass, velocity and acceleration is investigated. The system response is a stochastic process although its characteristics are assumed to be deterministic. In this paper, the distributed parameter system is assumed as a beam with Bernoulli–Euler type analytical behaviour. By adopting the Galerkin's method, a set of approximate governing equations of motion possessing time-dependent uncertain coefficients and forcing function is obtained. The statistical characteristics of the deflection of the beam are computed by using an improved perturbation approach with respect t…

Stochastic processMechanical EngineeringMonte Carlo methodMathematical analysisAerospace EngineeringPerturbation (astronomy)Equations of motionMoving loadOcean EngineeringStatistical and Nonlinear PhysicsCondensed Matter PhysicsClassical mechanicsNuclear Energy and EngineeringDistributed parameter systemRandom vibrationGalerkin methodCivil and Structural EngineeringMathematicsProbabilistic Engineering Mechanics
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A simplified analysis for the evaluation of stochastic response of elasto-plastic oscillators

1999

Abstract The paper deals with dynamic hysteretic oscillators without post-yielding hardening, called ideal elasto-plastic oscillators, subjected to white noise. They are characterized by the fact that they do not reach stationarity even though excited by stationary stochastic processes. A simplified solution procedure to capture this behaviour is presented in this paper. It is based on modelling the accumulated plastic deformations as a homogeneous compound Poisson process. In particular, two aspects are addressed in the paper: (1) evaluation of the probabilistic parameters of the accumulated plastic deformation process; and (2) evaluation of the second-order cumulants of the response by me…

Stochastic processMechanical EngineeringMonte Carlo methodProbabilistic logicAerospace EngineeringHomogeneous compound Poisson process modelOcean EngineeringStatistical and Nonlinear PhysicsWhite noiseCondensed Matter PhysicsElastoplastic oscillatorsNuclear Energy and EngineeringCompound Poisson processCalculusHardening (metallurgy)Applied mathematicsRandom vibrationElastoplastic oscillators; Homogeneous compound Poisson process modelCivil and Structural EngineeringMathematicsParametric statisticsProbabilistic Engineering Mechanics
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Digital generation of multivariate wind field processes

2001

Abstract A very efficient procedure for the generation of multivariate wind velocity stochastic processes by wave superposition as well as autoregressive time series is proposed in this paper. The procedure starts by decomposing the wind velocity field into a summation of fully coherent independent vector processes using the frequency dependent eigenvectors of the Power Spectral Density matrix. It is shown that the application of the method allows to show some very interesting physical properties that allow to reduce drastically the computational effort. Moreover, using a standard finite element procedure for approximating the frequency dependent eigenvectors, the generation procedure requi…

Stochastic processMechanical EngineeringUnivariateAerospace EngineeringSpectral densityOcean EngineeringStatistical and Nonlinear PhysicsCondensed Matter PhysicsWind speedMatrix (mathematics)Superposition principleNuclear Energy and EngineeringAutoregressive modelCalculusApplied mathematicsSafety Risk Reliability and QualityEigenvalues and eigenvectorsCivil and Structural EngineeringMathematics
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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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Noise-enhanced propagation in a dissipative chain of triggers

2002

International audience; We study the influence of spatiotemporal noise on the propagation of square waves in an electrical dissipative chain of triggers. By numerical simulation, we show that noise plays an active role in improving signal transmission. Using the Signal to Noise Ratio at each cell, we estimate the propagation length. It appears that there is an optimum amount of noise that maximizes this length. This specific case of stochastic resonance shows that noise enhances propagation.

Stochastic resonanceAcousticsnoise enhanced propagation01 natural sciencesNoise (electronics)[ PHYS.PHYS.PHYS-DATA-AN ] Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an]010305 fluids & plasmasnonlinear dynamicsSignal-to-noise ratio[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Control theory0103 physical sciencesPhase noise[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]stochastic resonance010306 general physicsEngineering (miscellaneous)PhysicsComputer simulationApplied MathematicsQuantum noise[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsNonlinear systemModeling and SimulationDissipative system[PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an]
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Linear and nonlinear approximations for periodically driven bistable systems

2005

We analyze periodically driven bistable systems by two different approaches. The first approach is a linearization of the stochastic Langevin equation of our system by the response on small external force. The second one is based on the Gaussian approximation of the kinetic equations for the cumulants. We obtain with the first approach the signal power amplification and output signal-to-noise ratio for a model piece-wise linear bistable potential and compare with the results of linear response approximation. By using the second approach to a bistable quartic potential, we obtain the set of nonlinear differential equations for the first and the second cumulants.

Stochastic resonance; Stochastic linearization; Linear response theory; Gaussian approximationSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciStochastic linearizationGaussian approximationLinear response theoryStochastic resonance
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Stochastic model of memristor based on the length of conductive region

2021

Abstract We propose a stochastic model of a voltage controlled bipolar memristive system, which includes the properties of widely used dynamic SPICE models and takes into account the fluctuations inherent in memristors. The proposed model is described by rather simple equations of Brownian diffusion, does not require significant computational resources for numerical modeling, and allows obtaining the exact analytical solutions in some cases. The noise-induced transient bimodality phenomenon, arising under resistive switching, was revealed and investigated theoretically and experimentally in a memristive system, by finding a quite good qualitatively agreement between theory and experiment. B…

StochasticityYttria stabilized zirconiaSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciComputer scienceStochastic modellingGeneral MathematicsApplied MathematicsSpiceGeneral Physics and AstronomyMarkov processStatistical and Nonlinear PhysicsMemristorMemristorBimodalitylaw.inventionsymbols.namesakelawsymbolsResistive switchingStatistical physicsTransient (oscillation)First-hitting-time modelBrownian motion
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The Mean-Field Limit for Solid Particles in a Navier-Stokes Flow

2008

We propose a mathematical derivation of Brinkman's force for a cloud of particles immersed in an incompressible viscous fluid. Specifically, we consider the Stokes or steady Navier-Stokes equations in a bounded domain Omega subset of R-3 for the velocity field u of an incompressible fluid with kinematic viscosity v and density 1. Brinkman's force consists of a source term 6 pi rvj where j is the current density of the particles, and of a friction term 6 pi vpu where rho is the number density of particles. These additional terms in the motion equation for the fluid are obtained from the Stokes or steady Navier-Stokes equations set in Omega minus the disjoint union of N balls of radius epsilo…

Stokes equation01 natural sciencesHomogenization (chemistry)Navier-Stokes equationPhysics::Fluid DynamicsMathematics - Analysis of PDEsFOS: Mathematics[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Boundary value problem0101 mathematicsMathematical Physics(MSC) 35Q30 35B27 76M50Particle systemPhysicsHomogenization010102 general mathematicsMathematical analysis35Q30 35B27 76M50Stokes equationsStatistical and Nonlinear Physics010101 applied mathematicsFlow velocityDragSuspension FlowsBounded functionCompressibilityBall (bearing)Navier-Stokes equationsAnalysis of PDEs (math.AP)
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Food consumer models: The case of the responsible consumer

2017

The profile of the responsible consumer, that is, an individual whose purchases strive to satisfy altruistic aims above and beyond one’s merely personal consumer necessities, is closely correlated to the one’s socio-economic conditions. All subjective aspects considered, the correlation between responsible consumption in the agri-food sector and the level of education of the individual was studied herein by way of a statistical survey, conducted on a sample of 108 individuals. Likewise, the correlation between the level of responsible consumption and the average monthly expenditures was also elucidated. The study was carried out using the statistical software environment R and the resul…

Strategy and Management1409 Tourism Leisure and Hospitality ManagementManagement Information SystemSettore AGR/01 - Economia Ed Estimo RuraleFood consumptionLinear regressionBusiness and International ManagementSettore SECS-S/01 - StatisticaResponsible consumerAgri-food
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