Search results for "Aerospace"

showing 10 items of 450 documents

Interlaminar stresses in laminated composite beam-type structures under shear/bending

2000

A boundary integral model for composite laminates under out-of-plane shear/bending is presented. The formulation proposed allows one to determine the elastic response of generally stacked composite laminates having general shape of the cross section. The integral equations governing the ply behavior within the laminate are deduced starting from the reciprocity theorem for beam-type structures. The ply integral equations are obtained by employing the analytical expression of the fundamental solution of generalized plane strain anisotropic problems. The laminate model is completed by imposing the displacement and stress continuity along the interfaces and the external boundary conditions. The…

Mathematical analysisFundamental solutionAerospace EngineeringGeometryBoundary value problemComposite laminatesAnisotropyBoundary element methodIntegral equationPlane stressMathematicsStress concentrationAIAA Journal
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α-stable distributions for better performance of ACO in detecting damage on not well spaced frequency systems

2014

Abstract In this paper, the Ant Colony Optimization (ACO) algorithm is modified through α -stable Levy variables and applied to the identification of incipient damage in structural components. The main feature of the proposed optimization is an improved ability, which derives from the heavy tails of the stable random variable, to escape from local minima. This aspect is relevant since the objective function used for damage detection may have many local minima which render very challenging the search of the global minimum corresponding to the damage parameter. As the optimization is performed on the structural response and does not require the extraction of modal components, the method is pa…

Mathematical optimizationDamage detectionComputer scienceMechanical EngineeringAnt colony optimization algorithmsAnt Colony Optimization Damage identification Lévy α-stable distributions Not-well spaced frequency systemAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsCondensed Matter PhysicsMaxima and minimaModalNuclear Energy and EngineeringFeature (computer vision)Biological systemRandom variableCivil and Structural Engineering
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Limit Analysis of Structures with Stochastic Strength Variations∗

1972

Abstract On the basis of a probabilistic fomulation of the fundamental theorems of “limit analysis,” a procedure is developed which allows, with a very limited amount of computing work, the determination of a domain containing the probability distribution curve of the collapse load factor of any structure that satisfies the usual conditions for validity of the limit analysis, but has randomly distributed limit strengths. Further improvements of the bounds thus obtained can be achieved by the equivalent of either the equilibrium or the kinematic methods of limit analysis.

Mathematical optimizationFinite element limit analysisMechanical EngineeringGeneral MathematicsGeneral EngineeringProbabilistic logicAerospace EngineeringOcean EngineeringCondensed Matter PhysicsLimit superior and limit inferiorOne-sided limitLimit analysisMechanics of MaterialsAutomotive EngineeringThermodynamic limitProbability distributionApplied mathematicsLimit (mathematics)Civil and Structural EngineeringMathematicsJournal of Structural Mechanics
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Discrete-timeH −  ∕ H ∞ sensor fault detection observer design for nonlinear systems with parameter uncertainty

2013

SUMMARY This work concerns robust sensor fault detection observer (SFDO) design for uncertain and disturbed discrete-time Takagi–Sugeno (T–S) systems using H −  ∕ H ∞ criterion. The principle of the proposed approach is based on simultaneously minimizing the perturbation effect and maximizing the fault effect on the residual vector. Furthermore, by introducing slack decision matrices and taking advantage of the descriptor formulation, less conservative sufficient conditions are proposed leading to easier linear matrix inequalities (LMIs). Moreover, the proposed (SFDO) design conditions allow dealing with unmeasurable premise variables. Finally, a numerical example and a truck–trailer system…

Mathematical optimizationMechanical EngineeringGeneral Chemical EngineeringBiomedical EngineeringAerospace EngineeringPerturbation (astronomy)ResidualIndustrial and Manufacturing EngineeringFault detection observerSystem modelNonlinear systemDiscrete time and continuous timeControl and Systems EngineeringControl theoryDecision matrixElectrical and Electronic EngineeringDesign methodsMathematicsInternational Journal of Robust and Nonlinear Control
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Stochastic dynamics of linear elastic trusses in presence of structural uncertainties (virtual distortion approach)

2004

Structures involving uncertainties in material and/or in geometrical parameters are referred to as uncertain structures. Reliability analysis of such structures strongly depends on variation of parameters and probabilistic approach is often used to characterize structural uncertainties. In this paper dynamic analysis of linearly elastic system in presence of random parameter variations will be performed. In detail parameter fluctuations have been considered as inelastic, stress and parameter dependent superimposed strains. Analysis is then carried out via superposition principle accounting for response to external agencies and parameter dependent strains. Proposed method yields asymptotic s…

Mathematical optimizationMechanical EngineeringLinear elasticityAerospace EngineeringTrussOcean EngineeringStatistical and Nonlinear PhysicsCondensed Matter PhysicsVariation of parametersDynamic load testingSuperposition principleVirtual DistortionNuclear Energy and EngineeringDynamic AnalysiSuperposition PrincipleDistortionStochastic ParameterConvergence (routing)Statistical physicsAsymptotic expansionCivil and Structural EngineeringMathematicsProbabilistic Engineering Mechanics
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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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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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Optimization of the objective function –surface quality by end-milling dimensional machining of some aluminum alloys

2019

Abstract In the aerospace industry, the milling of aluminum alloy parts is a machining process with the primary purpose of removing high volumes of material. Aluminum alloys are materials that have relatively good machinability, which helps the process because many of the components of the aircraft are of high dimensions. These parts have many pockets more or less deep, and the removal by cutting off about 90% of the initial volume of the workpiece is a matter of consideration. The manufacturing process is protracted and involves long semi-finishing and finishing operations, so it is recommended that any researcher who begins and finishes an experimental study should do it base on a specifi…

Mathematical optimizationVariablesbusiness.industryComputer scienceMachinabilitymedia_common.quotation_subjectMathematical statisticsProcess (computing)MachiningHistogramStatistical dispersionAerospacebusinessmedia_commonIOP Conference Series: Materials Science and Engineering
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Experimental and numerical study of a fibre/matrix interface of SiC/titanium composites

1998

Resume Certains phenomenes dissipatifs dans les composites a fibres longues sont encore assez mal compris et notamment celui de la decohesion entre la fibre et la matrice. Cette etude s'interesse donc a ce phenomene dans les composites a matrice metallique SiC/Titane. L'analyse du phenomene est menee parallelement de maniere experimentale et numerique aussi bien a l'echelle des constituants qu'a celle du materiau homogene equivalent. Cela conduit a pouvoir identifier un critere local de decohesion aidant lui-meme a la determination d'un critere global de decohesion.

Matrix (mathematics)Materials sciencechemistryAerospace Engineeringchemistry.chemical_elementComposite materialTitaniumAerospace Science and Technology
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