Search results for "Monte Carlo method."

showing 10 items of 1217 documents

Evaluation of the shakedown limit load multiplier for stochastic seismic actions

2017

A new approach for the evaluation of the shakedown limit load multiplier for structures subjected to a combination of quasi-statically variable loads and seismic actions is presented. The common case of frame structures constituted by elastic perfectly plastic material is considered. The acting load history during the lifetime of the structure will be defined as a suitable combination of never ending quasi-statical loads, variable within an appropriate given domain, and stochastic seismic actions occurring for limited time interval. The proposed approach utilizes the Monte Carlo method in order to generate a suitable large number of seismic acceleration histories and the corresponding shake…

Mathematical optimizationElastic plastic frameMonte Carlo method02 engineering and technologyCondensed Matter Physic01 natural sciences0203 mechanical engineeringQuasi-statical and seismic loadingMechanics of Material0101 mathematicsDynamic shakedownMathematicsbusiness.industryCumulative distribution functionMechanical EngineeringProbabilistic approachStructural engineeringCondensed Matter PhysicsShakedown010101 applied mathematicsMonte Carlo method020303 mechanical engineering & transportsMechanics of MaterialsLimit loadMultiplier (economics)businessSettore ICAR/08 - Scienza Delle Costruzioni
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Stochastic Approach for Optimal Positioning of Pumps As Turbines (PATs)

2021

A generic water system consists of a series of works that allow the collection, conveyance, storage and finally the distribution of water in quantities and qualities such as to satisfy the needs of end users. In places characterized by high altitude differences between the intake works and inhabited centres, the potential energy of the water is very high. This energy is attributable to high pressures, which could compromise the functionality of the pipelines

Mathematical optimizationEnergy recoveryOptimization problemEnvironmental effects of industries and plantsRenewable Energy Sustainability and the Environmentbusiness.industryComputer scienceenergy recoveryGeography Planning and DevelopmentMonte Carlo methodSortingTJ807-830Management Monitoring Policy and LawTD194-195Renewable energy sourcesEnvironmental sciencesPipeline transportSoftwareGenetic algorithmGE1-350pump as turbinebusinesswater distribution systemEnergy (signal processing)Bayesian Monte Carlo methodSustainability
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Non Gaussian closure techniques for the analysis of R-FBI isolation system

1997

The Resilient-Friction Base Isolator (R-FBI) stochastic response under severe ground motion modelled as a stationary and non-stationary zero mean stochastic white noise processes is performed. The moment equation approach is applied and the non-normal response is obtained by means of a non-Gaussian closure technique, based on the Gram-Charlier asymptotic expansion of the response probability density function. Results are compared with the equivalent non linearization technique and with results obtained by means of Monte Carlo simulation.

Mathematical optimizationGaussianMonte Carlo methodMathematical analysisGeneral EngineeringClosure (topology)Probability density functionWhite noiseMoment (mathematics)symbols.namesakeLinearizationsymbolsAsymptotic expansionMathematicsJournal of Structural Control
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A Quick Simulation Technique for a Fluid Information Storage Problem

2001

Summary In this paper we present an application of Importance Sampling (IS) for quick simulation of buffer overflow probability in a statistical multiplexer loaded with a number of independent Markov modulated fluid sources. Runtime improvement is deducible from NMCσ2(p) and NISσ2(p*) that characterize the trade-offs between sample size and variance of the estimators of buffer overflow probability experienced in Monte Carlo (MC) and Importance Sampling simulations. By assuming that the same precision is achieved for the two kinds of simulations if σ2(p)=σ2(p*), an approximate closed form expression for the ratio NIS/NMC is derived, and it is minimized with respect to the load of the multipl…

Mathematical optimizationMarkov chainComputer scienceSample size determinationMonte Carlo methodEstimatorElectrical and Electronic EngineeringClosed-form expressionMultiplexerAlgorithmImportance samplingBuffer overflowAEU - International Journal of Electronics and Communications
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Approximate survival probability determination of hysteretic systems with fractional derivative elements

2018

Abstract A Galerkin scheme-based approach is developed for determining the survival probability and first-passage probability of a randomly excited hysteretic systems endowed with fractional derivative elements. Specifically, by employing a combination of statistical linearization and of stochastic averaging, the amplitude of the system response is modeled as one-dimensional Markovian Process. In this manner the corresponding backward Kolmogorov equation which governs the evolution of the survival probability of the system is determined. An approximate solution of this equation is sought by employing a Galerkin scheme in which a convenient set of confluent hypergeometric functions is used a…

Mathematical optimizationMonte Carlo methodAerospace EngineeringBilinear interpolationMarkov processOcean Engineering02 engineering and technology01 natural sciencesHysteretic systemsymbols.namesake0203 mechanical engineering0103 physical sciencesApplied mathematicsHypergeometric functionGalerkin method010301 acousticsCivil and Structural EngineeringMathematicsGalerkin approachMechanical EngineeringStatistical and Nonlinear PhysicsFractional derivativeCondensed Matter PhysicsOrthogonal basisFractional calculus020303 mechanical engineering & transportsAmplitudeNuclear Energy and EngineeringsymbolsSurvival probabilitySettore ICAR/08 - Scienza Delle Costruzioni
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SMAA-TRI

2007

ELECTRE TRI is a multiple criteria decision aiding sorting method with a history of successful real-life applications. In ELECTRE TRI, values for certain parameters, such as criteria weights, thresholds, category profiles, and lambda cutting level, have to be provided. We propose a new method, SMAA-TRI, that is based on Stochastic Multicriteria Acceptability Analysis (SMAA), for analyzing the stability of such parameters. The stability analysis can be used for deriving robust conclusions. SMAATRI allows ELECTRE TRI to be used with imprecise, arbitrarily distributed values for weights and the lambda cutting level. The method consists of analyzing through Monte Carlo simulation finite spaces …

Mathematical optimizationMonte Carlo methodMultiple criteriaStability (learning theory)SortingELECTRELambdaField (computer science)Analysis methodMathematics
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Robust estimation of partial directed coherence by the vector optimal parameter search algorithm

2009

We propose a method for the accurate estimation of Partial Directed Coherence (PDC) from multichannel time series. The method is based on multivariate vector autoregressive (MVAR) model identification performed through the recently proposed Vector Optimal Parameter Search (VOPS) algorithm. Using Monte Carlo simulations generated by different MVAR models, the proposed VOPS algorithm is compared with the traditional Vector Least Squares (VLS) identification method. We show that the VOPS provides more accurate PDC estimates than the VLS (either overall and single-arc errors) in presence of interactions with long delays and missing terms, and for noisy multichannel time series. ©2009 IEEE.

Mathematical optimizationMultivariate statisticsNeuroscience (all)Parameter search algorithmComputer scienceEstimation theoryMonte Carlo methodSystem identificationPartial directed coherenceBiomedical EngineeringAC powerAutoregressive modelSearch algorithmVector autoregressive modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaCoherence (signal processing)Brain connectivityNeurology (clinical)Algorithm
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First-passage problem for nonlinear systems under Lévy white noise through path integral method

2016

In this paper, the first-passage problem for nonlinear systems driven by $$\alpha $$ -stable Levy white noises is considered. The path integral solution (PIS) is adopted for determining the reliability function and first-passage time probability density function of nonlinear oscillators. Specifically, based on the properties of $$\alpha $$ -stable random variables and processes, PIS is extended to deal with Levy white noises with any value of the stability index $$\alpha $$ . Application to linear and nonlinear systems considering different values of $$\alpha $$ is reported. Comparisons with pertinent Monte Carlo simulation data demonstrate the accuracy of the results.

Mathematical optimizationPath integralMonte Carlo methodAerospace Engineering020101 civil engineeringOcean EngineeringProbability density function02 engineering and technologyLévy white noise0201 civil engineering0203 mechanical engineeringApplied mathematicsElectrical and Electronic EngineeringMathematicsFirst passageApplied MathematicsMechanical EngineeringWhite noiseFunction (mathematics)Nonlinear systemAlpha (programming language)020303 mechanical engineering & transportsControl and Systems EngineeringPath integral formulationNonlinear systemRandom variable
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Efficient solution of the first passage problem by Path Integration for normal and Poissonian white noise

2015

Abstract In this paper the first passage problem is examined for linear and nonlinear systems driven by Poissonian and normal white noise input. The problem is handled step-by-step accounting for the Markov properties of the response process and then by Chapman–Kolmogorov equation. The final formulation consists just of a sequence of matrix–vector multiplications giving the reliability density function at any time instant. Comparison with Monte Carlo simulation reveals the excellent accuracy of the proposed method.

Mathematical optimizationSequenceMarkov chainPoisson proceMechanical EngineeringReliability (computer networking)Monte Carlo methodAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsProbability density functionWhite noiseWhite noiseCondensed Matter PhysicsPath IntegrationNonlinear systemNuclear Energy and EngineeringStructural reliabilityApplied mathematicsFirst passage problemRandom vibrationSettore ICAR/08 - Scienza Delle CostruzioniRandom vibrationCivil and Structural EngineeringMathematicsProbabilistic Engineering Mechanics
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Physics Contributions Evaluation of interpolation methods for TG-43 dosimetric parameters based on comparison with Monte Carlo data for high-energy b…

2010

Purpose: The aim of this work was to determine dose distributions for high-energy brachytherapy sources at spa- tial locations not included in the radial dose function gL(r) and 2D anisotropy function F(r,θ) table entries for radial dis- tance r and polar angle θ. The objectives of this study are as follows: 1) to evaluate interpolation methods in order to accurately derive gL(r) and F(r,θ) from the reported data; 2) to determine the minimum number of entries in gL(r) and F(r,θ) that allow reproduction of dose distributions with sufficient accuracy. Material and methods: Four high-energy photon-emitting brachytherapy sources were studied: 60Co model Co0.A86, 137Cs model CSM-3, 192Ir model I…

Mathematical optimizationbusiness.industrymedicine.medical_treatmentBrachytherapyMathematical analysisMonte Carlo methodBilinear interpolationFunction (mathematics)Linear interpolationOncologymedicineDosimetryRadiology Nuclear Medicine and imagingPolar coordinate systembusinessInterpolationJournal of Contemporary Brachytherapy
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