Search results for "Mathematical analysis"

showing 10 items of 2409 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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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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Set-valued and fuzzy stochastic differential equations driven by semimartingales

2013

Abstract In the paper we present set-valued and fuzzy stochastic integrals with respect to semimartingale integrators as well as their main properties. Then we study the existence of solutions to set-valued and fuzzy-set-valued stochastic differential equations driven by semimartingales. The stability of solutions is also established.

Stratonovich integralApplied MathematicsMathematical analysisStochastic calculusStability (learning theory)Fuzzy logicSet (abstract data type)Stochastic partial differential equationStochastic differential equationSemimartingaleMathematics::ProbabilityApplied mathematicsAnalysisMathematicsNonlinear Analysis-Theory Methods & Applications
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Set-valued stochastic integral equations driven by martingales

2012

Abstract We consider a notion of set-valued stochastic Lebesgue–Stieltjes trajectory integral and a notion of set-valued stochastic trajectory integral with respect to martingale. Then we use these integrals in a formulation of set-valued stochastic integral equations. The existence and uniqueness of the solution to such the equations is proven. As a generalization of set-valued case results we consider the fuzzy stochastic trajectory integrals and investigate the fuzzy stochastic integral equations driven by bounded variation processes and martingales.

Stratonovich integralContinuous-time stochastic processApplied MathematicsMathematical analysisMathematicsofComputing_NUMERICALANALYSISStochastic calculusRiemann–Stieltjes integralRiemann integralsymbols.namesakeQuantum stochastic calculusImproper integralsymbolsDaniell integralAnalysisMathematicsJournal of Mathematical Analysis and Applications
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The Itô Integral

2014

The Ito integral allows us to integrate stochastic processes with respect to the increments of a Brownian motion or a somewhat more general stochastic process. We develop the Ito integral first for Brownian motion and then for generalized diffusion processes (so called Ito processes). In the third section, we derive the celebrated Ito formula. This is the chain rule for the Ito integral that enables us to do explicit calculations with the Ito integral. In the fourth section, we use the Ito formula to obtain a stochastic solution of the classical Dirichlet problem. This in turn is used in the fifth section in order to show that like symmetric simple random walk, Brownian motion is recurrent …

Stratonovich integralDirichlet problemSection (fiber bundle)Mathematics::ProbabilityStochastic processMathematical analysisLocal martingaleChain ruleDiffusion (business)Brownian motionMathematics
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Fuzzy Stochastic Integral Equations Driven by Martingales

2011

Exploiting the properties of set-valued stochastic trajectory integrals we consider a notion of fuzzy stochastic Lebesgue–Stieltjes trajectory integral and a notion of fuzzy stochastic trajectory integral with respect to martingale. Then we use these integrals in a formulation of fuzzy stochastic integral equations. We investigate the existence and uniqueness of solution to such the equations.

Stratonovich integralMathematical analysisMathematicsofComputing_NUMERICALANALYSISApplied mathematicsUniquenessMartingale (probability theory)Fuzzy logicStochastic integralMathematics
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Boundary Integral Formulation for Composite Laminates in Torsion

1997

The three-dimensional elastic stress state in a general composite laminate under twisting load is given. The analysis is carried out through an integral equation formulation that is numerically solved by the boundary element method. The integral representation of the elastic behavior is deduced by means of the reciprocity theorem applied to the actual response of each ply and the problem's analytical singular fundamental solutions. The interface continuity conditions due to perfect bonding are considered to complete the laminate mathematical model. The method permits the analysis for generally stacked laminates having general shape of the cross section. By virtue of the formulation characte…

Stress (mechanics)Cross section (physics)Numerical analysisMathematical analysisAerospace EngineeringBoundary (topology)Torsion (mechanics)Composite laminatesIntegral equationBoundary element methodMathematicsAIAA Journal
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Influence of data input in the evaluation of Stress Intensity Factors from Thermoelastic Stress Analysis

2021

Abstract Thermoelastic Stress Analysis (TSA) is applied to evaluate the Stress Intensity Factor (SIF), T-stress and J-Integral in a Single-Edge-Notched-Tension sample undergoing fatigue cycling. The Williams’ series stress formulation and a least-square fitting (LSF) procedure are used to obtain the SIF and the T-stress. The evaluation is carried out with the aim to investigate the influence of the input data in the system of equations solved with the LSF, and in particular: the number of coefficients used in the Williams’ series and the choice and position of the fitted experimental data points. Three algorithms for the determination of the crack tip position are also evaluated: a coarse g…

Stress (mechanics)Thermoelastic dampingSeries (mathematics)Position (vector)Mathematical analysisGrid method multiplicationSystem of linear equationsImage resolutionStress intensity factorMathematicsIOP Conference Series: Materials Science and Engineering
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An Approximate Technique for Dynamic Elastic-Plastic Analysis

1994

The possibility of obtaining an approximate sufficiently reliable response for elasticplastic discretized structures subjected to dynamic load (kinematical and/or mechanical), with alow computational effort, has been considered. A suitable technique to this effect comes from the form of the dynamic influence matrix of imposed plastic strains on self-stresses, which is shaped by adding up a sparse time-dependent matrix and a block diagonal time-independent matrix (which is the sum of two block diagonal matrices). Several cases of practical interest have been studied, among these cases a special one where all the degrees-of-freedom are dynamic. The technique is compared to other approximate t…

Stress (mechanics)VibrationMechanics of MaterialsMechanical EngineeringNumerical analysisDegrees of freedomMathematical analysisGeometryQuadratic programmingCondensed Matter PhysicsMathematicsElastic plasticJournal of Applied Mechanics
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