Search results for "Computer Science Applications1707 Computer Vision and Pattern Recognition"

showing 10 items of 217 documents

A Viscoelastic Model for the Long-Term Deflection of Segmental Prestressed Box Girders

2017

Most of segmental prestressed concrete box girders exhibit excessive multidecade deflections unforeseeable by past and current design codes. To investigate such a behavior, mainly caused by creep and shrinkage phenomena, an effective finite element (FE) formulation is presented in this article. This formulation is developed by invoking the stationarity of an energetic principle for linear viscoelastic problems and relies on the Bazant creep constitutive law. A case study representative of segmental prestressed concrete box girders susceptible to creep is also analyzed in the article, that is, the Colle Isarco viaduct. Its FE model, based on the aforementioned energetic formulation, was succ…

TAComputational Theory and MathematicsCivil and Structural Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Computer Graphics and Computer-Aided Design; Computational Theory and MathematicsComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignCivil and Structural Engineering
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Multiscale modeling of polycrystalline materials: A boundary element approach to material degradation and fracture

2015

Abstract In this work, a two-scale approach to degradation and failure in polycrystalline materials is proposed. The formulation involves the engineering component level (macro-scale) and the material grain level (micro-scale). The macro-continuum is modeled using a three-dimensional boundary element formulation in which the presence of damage is formulated through an initial stress approach to account for the local softening in the neighborhood of points experiencing degradation at the micro-scale. The microscopic degradation is explicitly modeled by associating Representative Volume Elements (RVEs) to relevant points of the macro continuum, for representing the polycrystalline microstruct…

TechnologyComputational MechanicsPolycrystalline materialsGeneral Physics and AstronomyMultiscale formulationNANOMECHANICSDIFFRACTION09 EngineeringEngineeringPolycrystalline materialComputational mechanicsPeriodic boundary conditionsFAILUREPLASTICITYComputational MechanicApplied MathematicsAUSTENITIC STAINLESS-STEELComputer Science Applications1707 Computer Vision and Pattern RecognitionMechanicsStructural engineeringREPRESENTATIVE VOLUME ELEMENTMicrostructureStrength of materialsMultiscale modelingComputer Science ApplicationsMechanics of MaterialsMultiscale formulationsPhysical SciencesSIMULATIONMicromechanicsSTRESS-CORROSION CRACKINGMathematics Interdisciplinary ApplicationsMaterials scienceHOMOGENIZATIONEngineering MultidisciplinaryMechanicsPhysics and Astronomy (all)Boundary element methodMechanics of MaterialBoundary element methodFORMULATIONMicromechanicSHORT FATIGUE-CRACK01 Mathematical SciencesScience & Technologybusiness.industryMechanical EngineeringMicromechanicsDamage and fractureMICROSTRUCTUREbusinessVoronoi diagramMathematics
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Quantifying the Potential Economic Benefits of Flexible Industrial Demand in the European Power System

2018

The envisaged decarbonization of the European power system introduces complex techno-economic challenges to its operation and development. Demand flexibility can significantly contribute in addressing these challenges and enable a cost-effective transition to the low-carbon future. Although extensive previous work has analyzed the impacts of residential and commercial demand flexibility, the respective potential of the industrial sector has not yet been thoroughly investigated despite its large size. This paper presents a novel, whole-system modeling framework to comprehensively quantify the potential economic benefits of flexible industrial demand (FID) for the European power system. This …

TechnologyElectrical & Electronic EngineeringComputer science020209 energyDistribution (economics)Information System02 engineering and technology09 EngineeringENERGY MANAGEMENT SCHEMEElectric power systemAutomation & Control SystemsEngineeringDemand flexibilityCARBON ELECTRICITY SYSTEMS10 Technology0202 electrical engineering electronic engineering information engineeringCapital costElectrical and Electronic EngineeringOperating costFlexibility (engineering)08 Information And Computing Sciencesindustrial demandScience & Technologyrenewable generationbusiness.industryFACILITIESComputer Science Applications1707 Computer Vision and Pattern RecognitionEnvironmental economicsInvestment (macroeconomics)Computer Science Applicationspower systemWork (electrical)Control and Systems EngineeringSecondary sector of the economyEngineering IndustrialComputer ScienceComputer Science Interdisciplinary ApplicationsSIDE MANAGEMENTbusinessoptimizationSTORAGEInformation SystemsIEEE Transactions on Industrial Informatics
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Nonstationary flow surface theory for modeling the viscoplastic behaviors of soils

2016

Abstract This paper presents a three-dimensional elastic viscoplastic model that can describe the time-dependent behaviors of soft clays. The constitutive model is formulated based on the nonstationary flow surface theory and incorporates new developments, including (i) an improved definition of the nonstationary flow surface that is capable of capturing the stress–strain behaviors under different loading paths, (ii) a unique stress–strain—viscoplastic-strain-rate equation that is able to explicitly describe the nonstationary flow surface, and (iii) a final stable state concept that identifies the final equilibrium state at the end of creep and stress relaxation, which is also used to simpl…

Thermodynamic equilibriumConstitutive equation0211 other engineering and technologiesconstitutive modeltime softening02 engineering and technology010502 geochemistry & geophysics01 natural sciencesrate dependentPhysics::GeophysicsConsistency (statistics)nonstationary flow surface theoryStress relaxation021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsViscoplasticitybusiness.industryComputer Science Applications1707 Computer Vision and Pattern RecognitionStructural engineeringMechanicsViscoplasticityGeotechnical Engineering and Engineering GeologyOedometer testComputer Science ApplicationsFlow (mathematics)Creepfinal stable state conceptbusiness
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A genetic algorithm for combined topology and shape optimisations

2003

A method to find optimal topology and shape of structures is presented. With the first the optimal distribution of an assigned mass is found using an approach based on homogenisation theory, that seeks in which elements of a meshed domain it is present mass; with the second the discontinuous boundaries are smoothed. The problem of the optimal topology search has an ON/OFF nature and has suggested the employment of genetic algorithms. Thus in this paper a genetic algorithm has been developed, which uses as design variables, in the topology optimisation, the relative densities (with respect to effective material density) 0 or 1 of each element of the structure and, in the shape one, the coord…

Topology optimisationGenetic algorithms; Shape optimisation; Topology optimisation; Computer Science Applications1707 Computer Vision and Pattern Recognition; Computer Graphics and Computer-Aided Design; Industrial and Manufacturing EngineeringStructure (category theory)Shape optimisationComputer Science Applications1707 Computer Vision and Pattern RecognitionTopologyComputer Graphics and Computer-Aided DesignDomain (mathematical analysis)Finite element methodIndustrial and Manufacturing EngineeringComputer Science ApplicationsVariable (computer science)Distribution (mathematics)Genetic algorithmGenetic algorithmLimit (mathematics)Settore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialeTopology (chemistry)Mathematics
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Mathematical modeling of a vehicle crash test based on elasto-plastic unloading scenarios of spring-mass models

2011

Published version of an article in the journal: The International Journal of Advanced Manufacturing Technology. Also available from the publisher on SpringerLink: htp://dx.doi.org/10.1007/s00170-010-3056-x This paper investigates the usability of spring which exhibit nonlinear force-deflection characteristic in the area of mathematical modeling of vehicle crash. We present a method which allows us to obtain parameters of the spring-mass model basing on the full-scale experimental data analysis. Since vehicle collision is a dynamic event, it involves such phenomena as rebound and energy dissipation. Three different spring unloading scenarios (elastic, plastic, and elasto-plastic) are covered…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413EngineeringTotal crash energyVehicle crashKinematicsIndustrial and Manufacturing EngineeringCoefficient of restitution; Spring-mass model; Total crash energy; Unloading stiffness; Vehicle crash; Control and Systems Engineering; Software; Mechanical Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Industrial and Manufacturing EngineeringSimulationEvent (probability theory)Coefficient of restitutionbusiness.industrySpring-mass modelMechanical EngineeringVDP::Technology: 500::Mechanical engineering: 570UsabilityComputer Science Applications1707 Computer Vision and Pattern RecognitionStructural engineeringDissipationCollisionComputer Science ApplicationsNonlinear systemUnloading stiffnessSpring (device)Control and Systems EngineeringCoefficient of restitutionbusinessSoftware
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Investigation of vehicle crash modeling techniques: theory and application

2013

Published version of an article in the journal: The International Journal of Advanced Manufacturing Technology. Also available from the publisher at: http://dx.doi.org/10.1007/s00170-013-5320-3 Creating a mathematical model of a vehicle crash is a task which involves considerations and analysis of different areas which need to be addressed because of the mathematical complexity of a crash event representation. Therefore, to simplify the analysis and enhance the modeling process, in this work, a brief overview of different vehicle crash modeling methodologies is proposed. The acceleration of a colliding vehicle is measured in its center of gravity—this crash pulse contains detailed informati…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Feedforward neural network; Lumped parameter models; Multiresolution analysis; Vehicle crash modeling; Control and Systems Engineering; Software; Mechanical Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Industrial and Manufacturing EngineeringEvent (computing)Computer scienceReliability (computer networking)Mechanical Engineeringvehicle crash modelingVDP::Technology: 500::Mechanical engineering: 570lumped parameter modelsCrashControl engineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionCollisionIndustrial and Manufacturing EngineeringComputer Science Applicationsmultiresolution analysisAutoregressive modelControl and Systems Engineeringfeedforward neural networkRepresentation (mathematics)SimulationSoftwareMotor vehicle crash
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Mixed l-/l1 fault detection observer design for positive switched systems with time-varying delay via delta operator approach

2014

Published version of an article in the journal: International Journal of Control, Automation and Systems. Also available from the publisher at: http://dx.doi.org/10.1007/s12555-013-0466-1 This paper investigates the problem of fault detection observer design for positive switched systems with time-varying delay via delta operator approach. A new fault sensitivity measure, called l-index, is proposed. The l- fault detection observer design and multi-objective l -/l1 fault detection observer design problems are addressed. Based on the average dwell time approach and the piecewise copositive type Lyapunov-Krasovskii functional method in delta domain, sufficient conditions for the existence of …

VDP::Technology: 500::Mechanical engineering: 570Computer Science Applications1707 Computer Vision and Pattern RecognitionDelta operatorMechatronicsfault sensitivityFault (power engineering)positive switched systemsMeasure (mathematics)VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Fault detection and isolationfault detectionComputer Science Applicationsdelta operatorDwell timeControl theoryControl and Systems EngineeringPiecewiseAverage dwell time; delta operator; fault detection; fault sensitivity; positive switched systems; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern RecognitionSensitivity (control systems)Average dwell timeMathematics
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Robust H∞ sliding mode control with pole placement for a fluid power electrohydraulic actuator (EHA) system

2014

Published version of an article in the journal: International Journal of Advanced Manufacturing Technology. Also available from the publisher at: http://dx.doi.org/10.1007/s00170-014-5910-8 In this paper, we exploit the sliding mode control problem for a fluid power electrohydraulic actuator (EHA) system. To characterize the nonlinearity of the friction, the EHA system is modeled as a linear system with a system uncertainty. Practically, it is assumed that the system is also subject to the load disturbance and the external noise. An integral sliding mode controller is proposed to design. The advanced techniques such as the H ∞ control and the regional pole placement are employed to derive t…

Variable structure controlEngineeringbusiness.industrypole placementMechanical EngineeringLinear systemLinear matrix inequalitysliding mode controlComputer Science Applications1707 Computer Vision and Pattern RecognitionVDP::Technology: 500::Electrotechnical disciplines: 540Sliding mode controlLinear matrix inequalities (LMIs); Pole placement; Sliding mode control; Control and Systems Engineering; Software; Mechanical Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Industrial and Manufacturing EngineeringVDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Industrial and Manufacturing EngineeringComputer Science ApplicationsNonlinear systemFluid powerControl theoryControl and Systems EngineeringFull state feedbacklinear matrix inequalities (LMIs)ActuatorbusinessSoftwareH∞ control
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XIPE: the x-ray imaging polarimetry explorer

2016

XIPE, the X-ray Imaging Polarimetry Explorer, is a mission dedicated to X-ray Astronomy. At the time of writing XIPE is in a competitive phase A as fourth medium size mission of ESA (M4). It promises to reopen the polarimetry window in high energy Astrophysics after more than 4 decades thanks to a detector that efficiently exploits the photoelectric effect and to X-ray optics with large effective area. XIPE uniqueness is time-spectrally-spatially- resolved X-ray polarimetry as a breakthrough in high energy astrophysics and fundamental physics. Indeed the payload consists of three Gas Pixel Detectors at the focus of three X-ray optics with a total effective area larger than one XMM mirror bu…

X-ray AstronomyHigh-energy astronomyPolarimetryX-ray opticsX-ray telescopeCondensed Matter Physic01 natural sciencesObservatory0103 physical sciencesPolarimetryElectronicOptical and Magnetic MaterialsSpectral resolutionElectrical and Electronic Engineering010303 astronomy & astrophysicsGas Pixel DetectorPhysicsX-ray astronomyta115X-ray optics010308 nuclear & particles physicsElectronic Optical and Magnetic MaterialApplied MathematicsVegaAstronomyComputer Science Applications1707 Computer Vision and Pattern RecognitionGas Pixel Detector; Polarimetry; X-ray Astronomy; X-ray opticsCondensed Matter PhysicsComputer Science ApplicationsApplied MathematicGas Pixel Detector; Polarimetry; X-ray Astronomy; X-ray optics; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringGas Pixel Detector; Polarimetry; X-ray Astronomy; X-ray optics; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications; Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringComputer Vision and Pattern RecognitionX-ray optic
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