Search results for "parametric"

showing 10 items of 980 documents

Linear Systems Excited by Polynomials of Filtered Poission Pulses

1997

The stochastic differential equations for quasi-linear systems excited by parametric non-normal Poisson white noise are derived. Then it is shown that the class of memoryless transformation of filtered non-normal delta correlated process can be reduced, by means of some transformation, to quasi-linear systems. The latter, being excited by parametric excitations, are frst converted into ltoˆ stochastic differential equations, by adding the hierarchy of corrective terms which account for the nonnormality of the input, then by applying the Itoˆ differential rule, the moment equations have been derived. It is shown that the moment equations constitute a linear finite set of differential equatio…

Stochastic partial differential equationStochastic differential equationTransformation (function)Mechanics of MaterialsDifferential equationMechanical EngineeringNumerical analysisMathematical analysisLinear systemCondensed Matter PhysicsMathematicsParametric statisticsNumerical partial differential equationsJournal of Applied Mechanics
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Exact stationary solution for a class of non-linear systems driven by a non-normal delta-correlated process

1995

In this paper the exact stationary solution in terms of probability density function for a restricted class of non-linear systems under both external and parametric non-normal delta-correlated processes is presented. This class has been obtained by imposing a given probability distribution and finding the corresponding dynamical system which satisfies the modified Fokker-Planck equation. The effectiveness of the results has been verified by means of a Monte Carlo simulation.

Stochastic processApplied MathematicsMechanical EngineeringMonte Carlo methodProbability density functionStationary sequenceDynamical systemMechanics of MaterialsApplied mathematicsProbability distributionFokker–Planck equationStatistical physicsMathematicsParametric statisticsInternational Journal of Non-Linear 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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An empirical analysis of growth volatility: A Markov chain approach

2005

This paper studies the determinants of growth rate volatility, focusing on the effect of level of GDP, structural change and the size of economy. First we provide a graphical analysis based on nonparametric techniques, then a quantitative analysis which follows the distribution dynamics approach. Growth volatility appears to (i) decrease with per capita GDP, (ii) increase with the share of the agricultural sector on GDP and, (iii) decrease with the size of the economy, measured by a combination of total GDP and trade openness. However, we show that the explanatory power of per capita GDP tends to vanish when we control for the size of the economy. © 2005 Springer-Verlag Berlin Heidelberg.

Stochastic volatilityMarkov chainMarkov transition matrixGross domestic productStructural changeNonparametric methodEconometricsEconomicsOpenness to experienceStructural changeGrowth rateVolatility (finance)Explanatory powerGrowth volatility
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Reliability of physical functioning measures in ambulatory subjects with MS.

2005

Background and Purpose. One of the primary reasons for measuring outcomes during rehabilitation is to determine the effect of physiotherapy. Repeated measurement situations are susceptible to several sources of error, including inconsistencies caused by the subject, the procedure, the instrument and the examiner. Therefore, the reliability of the measures needs to be examined. Method. The present study used a repeated-measures design. Two studies were undertaken to examine the test–retest and inter-rater reliability for physical functioning measures. The interval between the measurements was one week. The sample consisted of 19 ambulatory subjects with mutliple sclerosis (MS) in the test–re…

Straight leg raiseAdultMale030506 rehabilitationmedicine.medical_specialtyMultiple SclerosisModified Ashworth scaleMovementPhysical Therapy Sports Therapy and RehabilitationStatistics Nonparametric03 medical and health sciencesGrip strengthDisability Evaluation0302 clinical medicinePhysical medicine and rehabilitationInternational Classification of Functioning Disability and HealthmedicineHumansReliability (statistics)FinlandObserver Variationmedicine.diagnostic_testReproducibility of ResultsMiddle AgedGaitTest (assessment)Berg Balance ScalePhysical therapyPhysical EnduranceFemale0305 other medical sciencePsychologyhuman activities030217 neurology & neurosurgeryPhysiotherapy research international : the journal for researchers and clinicians in physical therapy
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Mixed mode energy release rates for bonded composite joints

2011

Abstract: Analytical formulae developed by Luo and Tong (2009) to determine the mixed mode strain energy release rates of laminated and co-cured composite structures and joints are reviewed. The effects of varying loading conditions and geometries on the mode mixity found analytically are investigated via a parametric study. A critical evaluation of the analytical formulae indicates that the formulae are robust in calculating the total strain energy release rate, but may underestimate the mode II component compared with the finite element analysis and experimental results. Possible reasons for this discrepancy are discussed, including the effect of stress concentrations and singularities at…

Strain energy release rateMaterials sciencebusiness.industryDelaminationComposite numberGravitational singularityMechanicsStructural engineeringbusinessFinite element methodParametric statisticsStrain energyStress concentration
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A probabilistic expert system for predicting the risk of Legionella in evaporative installations

2011

Research highlights? The bacterium Legionella usually lives in water sources such as cooling towers. ? We discuss a probabilistic expert system for predicting the risk of Legionella. ? The expert system has a master-slave architecture. ? The inference engine is implemented through Bayesian reasoning. ? Bayesian networks model and connect relationships for chemical and physical variables. Early detection in water evaporative installations is one of the keys to fighting against the bacterium Legionella, the main cause of Legionnaire's disease. This paper discusses the general structure, elements and operation of a probabilistic expert system capable of predicting the risk of Legionella in rea…

Structure (mathematical logic)Computer sciencebusiness.industryGeneral EngineeringProbabilistic logicBayesian networkMarkov chain Monte CarloBayesian inferenceMachine learningcomputer.software_genreExpert systemComputer Science Applicationssymbols.namesakeArtificial IntelligencesymbolsData miningArtificial intelligenceInference enginebusinesscomputerParametric statisticsExpert Systems with Applications
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Solving the Problems of Inspection Planning under Parametric Uncertainty of Underlying Models

2013

Certain fatigued structures must be inspected in order to detect fatigue damages that would otherwise not be apparent. A technique for obtaining optimal inspection strategies is proposed for situations where it is difficult to quantify the costs associated with inspections and undetected failure. For fatigued structures for which failures (fatigue damages) are only detected at the time of inspection, it is important to be able to determine the optimal times of inspection. Fewer inspections will lead to lower fatigue reliability of the structure upon demand, and frequent inspection will lead to higher cost. When there is a fatigue reliability requirement, the problem is usually to develop an…

Structure (mathematical logic)EngineeringSequencereliabilitybusiness.industryeducationmaintainabilityoperational researchGeneral MedicinehumanitiesReliability engineeringInvariant embeddingstomatognathic diseasesprobabilistic and statistical models in industrial plant controlDamagessafety and dependability of production systemsbusinessReliability (statistics)Invariant (computer science)Parametric statisticsIFAC Proceedings Volumes
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Decision Making and Optimization for Inspection Planning under Parametric Uncertainty of Underlying Models

2013

Certain fatigued structures must be inspected in order to detect fatigue damages that would otherwise not be apparent. A technique for obtaining optimal inspection strategies is proposed for situations where it is difficult to quantify the costs associated with inspections and undetected failure. For fatigued structures, for which failures (fatigue damages) are only detected at the time of inspection, it is important to be able to determine the optimal times of inspection. Fewer inspections will lead to lower fatigue reliability of the structure upon demand, and frequent inspections will lead to higher cost. When there is a fatigue reliability requirement, the problem is usually to develop …

Structure (mathematical logic)stomatognathic diseasesSequenceComputer scienceeducationDamagesSensitivity analysishumanitiesInvariant (computer science)Reliability (statistics)Invariant embeddingParametric statisticsReliability engineering
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G1-Blend between a Differentiable Superquadric of Revolution and a Plane or a Sphere Using Dupin Cyclides

2008

In this article, we present a method to perform G1-continuous blends between a differentiable superquadric of revolution and a plane or a sphere using Dupin cyclides. These blends are patches delimited by four lines of curvature. They allow to avoid parameterization problems that may occur when parametric surfaces are used. Rational quadratic Bezier curves are used to approximate the principal circles of the Dupin cyclide blends and thus a complex 3D problem is now reduced to a simpler 2D problem. We present the necessary conditions to be satisfied to create the blending patches and illustrate our approach by a number of superellipsoid/plane and superellipsoid/sphere blending examples.

SuperellipsoidParametric surfacePlane (geometry)Mathematical analysisDupin cyclideGeometryBézier curveDifferentiable functionCurvatureComputational geometryMathematics2008 IEEE International Conference on Signal Image Technology and Internet Based Systems
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