Search results for "Integral form"

showing 10 items of 71 documents

Path integral solution handled by Fast Gauss Transform

2009

Abstract The path integral solution method is an effective tool for evaluating the response of non-linear systems under Normal White Noise, in terms of probability density function (PDF). In this paper it has been observed that, using short-time Gaussian approximation, the PDF at a given time instant is the Gauss Transform of the PDF at an earlier close time instant. Taking full advantage of the so-called Fast Gauss Transform a new integration method is proposed. In order to overcome some unsatisfactory trends of the classical Fast Gauss Transform, a new version termed as Symmetric Fast Gauss Transform is also proposed. Moreover, extensions to the two Fast Gauss Transform to MDOF systems ar…

Mechanical EngineeringMathematical analysisMathematicsofComputing_NUMERICALANALYSISAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsProbability density functionWhite noiseCondensed Matter Physicssymbols.namesakeNuclear Energy and EngineeringKronecker deltaComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONPath integral formulationsymbolsTwo-sided Laplace transformApplied mathematicsGauss–Seidel methodSettore ICAR/08 - Scienza Delle CostruzioniPath integral solution Fast Gauss Transform Symmetric Fast Gauss Transform Fokker-Planck equation Ito calculusS transformGaussian processCivil and Structural EngineeringMathematicsProbabilistic Engineering Mechanics
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Path Integral Method for Nonlinear Systems Under Levy White Noise

2017

In this paper, the probabilistic response of nonlinear systems driven by alpha-stable Lévy white noises is considered. The path integral solution is adopted for determining the evolution of the probability density function of nonlinear oscillators. Specifically, based on the properties of alpha-stable random variables and processes, the path integral solution is extended to deal with Lévy white noises input with any value of the stability index alpha. It is shown that at the limit when the time increments tend to zero, the Einstein–Smoluchowsky equation, governing the evolution of the response probability density function, is fully restored. Application to linear and nonlinear systems under…

Mechanical EngineeringMathematical analysisShot noise020101 civil engineering02 engineering and technologyWhite noiseLevy white noiseStability (probability)Stochastic Response0201 civil engineeringPath Integral SolutionNonlinear systemsymbols.namesake020303 mechanical engineering & transportsAdditive white Gaussian noise0203 mechanical engineeringGaussian noisePath integral formulationsymbolsSafety Risk Reliability and QualitySafety ResearchMathematics
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An Efficient Wiener Path Integral Technique Formulation for Stochastic Response Determination of Nonlinear MDOF Systems

2015

The recently developed approximate Wiener path integral (WPI) technique for determining the stochastic response of nonlinear/hysteretic multi-degree-of-freedom (MDOF) systems has proven to be reliable and significantly more efficient than a Monte Carlo simulation (MCS) treatment of the problem for low-dimensional systems. Nevertheless, the standard implementation of the WPI technique can be computationally cumbersome for relatively high-dimensional MDOF systems. In this paper, a novel WPI technique formulation/implementation is developed by combining the “localization” capabilities of the WPI solution framework with an appropriately chosen expansion for approximating the system response PDF…

Mechanical EngineeringReliability (computer networking)Monte Carlo methodnonlinear systemCondensed Matter PhysicsDisplacement (vector)Nonlinear systemStochastic dynamicsOrders of magnitude (time)Variational formulationMechanics of MaterialsControl theorystochastic dynamicPath integral formulationBoundary value problemWiener path integralMathematics
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Ideal and physical barrier problems for non-linear systems driven by normal and Poissonian white noise via path integral method

2016

Abstract In this paper, the probability density evolution of Markov processes is analyzed for a class of barrier problems specified in terms of certain boundary conditions. The standard case of computing the probability density of the response is associated with natural boundary conditions, and the first passage problem is associated with absorbing boundaries. In contrast, herein we consider the more general case of partially reflecting boundaries and the effect of these boundaries on the probability density of the response. In fact, both standard cases can be considered special cases of the general problem. We provide solutions by means of the path integral method for half- and single-degr…

Monte Carlo methodMarkov processProbability density function02 engineering and technologyWhite noise01 natural sciencesBarrier crossingsymbols.namesake0203 mechanical engineeringStructural reliability0103 physical sciencesBoundary value problem010301 acousticsMathematicsApplied MathematicsMechanical EngineeringMathematical analysisFokker-Planck equationWhite noisePath integrationNonlinear system020303 mechanical engineering & transportsMechanics of MaterialsPath integral formulationsymbolsFokker–Planck equationRandom vibration
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Path Integral Methods for the Probabilistic Analysis of Nonlinear Systems Under a White-Noise Process

2020

Abstract In this paper, the widely known path integral method, derived from the application of the Chapman–Kolmogorov equation, is described in details and discussed with reference to the main results available in literature in several decades of contributions. The most simple application of the method is related to the solution of Fokker–Planck type equations. In this paper, the solution in the presence of normal, α-stable, and Poissonian white noises is first discussed. Then, application to barrier problems, such as first passage problems and vibroimpact problems is described. Further, the extension of the path integral method to problems involving multi-degrees-of-freedom systems is anal…

Nonlinear systemComputer scienceMechanical Engineering0103 physical sciencesPath integral formulationApplied mathematicsProbabilistic analysis of algorithmsWhite noiseSafety Risk Reliability and Quality010301 acoustics01 natural sciencesSafety Research010305 fluids & plasmasASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
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Laplace’s Method of Integration in the Path Integral Approach for the Probabilistic Response of Nonlinear Systems

2020

In this paper the response of nonlinear systems under stationary Gaussian white noise excitation is studied. The Path Integral (PI) approach, generally employed for evaluating the response Probability Density Function (PDF) of systems in short time steps based on the Chapman-Kolmogorov equation, is here used in conjunction with the Laplace’s method of integration. This yields an approximate analytical solution of the integral involved in the Chapman-Kolmogorov equation. Further, in this manner the repetitive integrations, generally required in the conventional numerical implementation of the procedure, can be circumvented. Application to a nonlinear system is considered, and pertinent compa…

Nonlinear systemPath Integral Laplace’s method Nonstationary response Probability density function.Laplace transformLaplace's methodPath integral formulationProbabilistic logicApplied mathematicsProbability density functionWhite noiseSettore ICAR/08 - Scienza Delle CostruzioniExcitationMathematics
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Path integral method for first-passage probability determination of nonlinear systems under levy white noise

2015

In this paper the problem of the first-passage probabilities determination of nonlinear systems under alpha-stable Lévy white noises is addressed. Based on the properties of alpha-stable random variables and processes, the Path Integral method is extended to deal with nonlinear systems driven by Lévy white noises with a generic value of the stability index alpha. Furthermore, the determination of reliability functions and first-passage time probability density functions is handled step-by-step through a modification of the Path Integral technique. Comparison with pertinent Monte Carlo simulation reveals the excellent accuracy of the proposed method.

Nonlinear systemPath integral formulationCalculusNonlinear systemApplied mathematicsWhite noiseLevy white noiseSettore ICAR/08 - Scienza Delle CostruzioniFirst-passageMathematicsPath Integral method
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Computational aspects in 2D SBEM analysis with domain inelastic actions

2009

The Symmetric Boundary Element Method, applied to structures subjected to temperature and inelastic actions, shows singular domain integrals. In the present paper the strong singularity involved in the domain integrals of the stresses and tractions is removed, and by means of a limiting operation, this traction is evaluated on the boundary. First the weakly singular domain integral in the Somigliana Identity (S.I.) of the displacements is regularized and the singular integral is transformed into a boundary one using the Radial Integration Method; subsequently, using the differential operator applied to the displacement field, the S.I. of the tractions inside the body is obtained and through…

Numerical AnalysisApplied MathematicsMathematical analysisGeneral EngineeringSingular integralSingular boundary methodelastoplasticity symmetric BEM multidomain approach singular domain integral return mapping algorithmSingularityDisplacement fieldCauchy principal valueGalerkin methodSettore ICAR/08 - Scienza Delle CostruzioniBoundary element methodCauchy's integral formulaMathematics
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Stochastic ship roll motion via path integral method

2010

ABSTRACTThe response of ship roll oscillation under random ice impulsive loads modeled by Poisson arrival process is very important in studying the safety of ships navigation in cold regions. Under both external and parametric random excitations the evolution of the probability density function of roll motion is evaluated using the path integral (PI) approach. The PI method relies on the Chapman-Kolmogorov equation, which governs the response transition probability density functions at two close intervals of time. Once the response probability density function at an early close time is specified, its value at later close time can be evaluated. The PI method is first demonstrated via simple …

Path integrallcsh:Ocean engineeringRandom impulsive ice loadingOcean EngineeringProbability density functionResponse amplitude operatorPoisson distributionShip roll Random impulsive ice loading Poisson distributionsymbols.namesakelcsh:VM1-989Control theorylcsh:TC1501-1800Parametric random excitationChapman-Kolmogorov equationMathematicsParametric statisticsOscillationMathematical analysisDynamics (mechanics)lcsh:Naval architecture. Shipbuilding. Marine engineeringControl and Systems EngineeringPath integral formulationPoisson distributionsymbolsShip rollSettore ICAR/08 - Scienza Delle CostruzioniChapman–Kolmogorov equationInternational Journal of Naval Architecture and Ocean Engineering
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Computer simulations of a Lennard-Jones model for Ar1—x(N2)x: A prototype system for quadrupolar glasses

1998

Abstract Recent theoretical studies of orientational ordering in pure and diluted nitrogen crystals are summarized. While pure N2 has a first order phase transition from a plastic crystal to a phase with long-range orientational order, dilution with argon atoms leads to a quadrupolar glass phase. Monte Carlo simulations are used to study these phases, considering also the behavior of isolated N2 impurities in Ar crystals. It is shown that a simple model that neglects electrostatic interactions and takes only Lennard-Jones interactions into account can describe already many properties in qualitative agreement with experiment. Even the slow dynamics of the quadrupole moments can be modeled by…

Phase transitionMaterials scienceImpurityPhase (matter)Monte Carlo methodQuadrupolePath integral formulationStatistical physicsPlastic crystalCondensed Matter PhysicsElectrostaticsMolecular physicsElectronic Optical and Magnetic MaterialsFerroelectrics
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