Search results for "Simulation"

showing 10 items of 5095 documents

Thermodynamically consistent residual-based gradient plasticity theory and comparison

2006

A gradient plasticity theory for small deformations is presented within the framework of nonlocal continuum thermodynamics. The second principle (Clausius–Duhem inequality), enriched by an additional term named energy residual, is employed in conjunction with the concepts of insulation condition and locality recovery condition, in order to derive all the pertinent restrictions upon the constitutive equations. These include the expressions of the energy residual and of the plastic dissipation density, as well as the PDEs governing the gradient kinematic and isotropic hardening of the material, together with the related higher-order boundary conditions for both the fixed and the moving bounda…

Continuum (topology)Differential equationEnergy dissipationMathematical analysisConstitutive equationKinematicsBoundary conditionDissipationClausius–Duhem inequalityCondensed Matter PhysicsResidualKinematicComputer Science ApplicationsDifferential equationMechanics of MaterialsModeling and SimulationThermodynamicsGeneral Materials ScienceBoundary value problemPlastic deformationMathematics
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Spectroscopic, radiochemical, and theoretical studies of the Ga3+-N-2-hydroxyethyl piperazine-N'-2-ethanesulfonic acid (HEPES buffer) system: evidenc…

2013

Recent reports have claimed a superior performance of HEPES buffer in comparison to alternative buffer systems for 67/68 Ga labeling in aqueous media. In this paper we report spectroscopic (1H and 71 Ga NMR), radiochemical, mass spectrometry and theoretical modeling studies on the Ga3+/HEPES system (HEPES = N-2-hydroxyethylpiperazine-N′-2-ethanesulfonic acid) performed with the aim of elucidating a potential contribution of HEPES in the 68/67 Ga radiolabeling process. Our results demonstrate that HEPES acts as a weakly but competitive chelator of Ga3+ and that this interaction depends on the relative Ga3+: HEPES concentration. A by-product formed in the labeling mixture has been identified …

Contrast MediaGallium Radioisotopes010402 general chemistryMass spectrometry01 natural sciencesHepes bufferchemistry.chemical_compoundRadiology Nuclear Medicine and imagingChelationComputer SimulationHEPESChromatographyAqueous medium010405 organic chemistrySpectrum AnalysisMagnetic Resonance Imaging0104 chemical sciences3. Good healthPiperazinechemistryModels ChemicalDrug DesignIsotope LabelingProton NMREthanesulfonic acidRadiopharmaceuticalsHEPESNuclear chemistryContrast mediamolecular imaging
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Discrete Learning Control with Application to Hydraulic Actuators

2015

In this paper the robustness of a class of learning control algorithms to state disturbances, output noise, and errors in initial conditions is studied. We present a simple learning algorithm and exhibit, via a concise proof, bounds on the asymptotic trajectory errors for the learned input and the corresponding state and output trajectories. Furthermore, these bounds are continuous functions of the bounds on the initial condition errors, state disturbance, and output noise, and the bounds are zero in the absence of these disturbances.

Control algorithmComputer scienceElectro-hydraulic actuatorlcsh:QA75.5-76.95Computer Science Applicationslaw.inventionControl and Systems EngineeringlawControl theoryRobustness (computer science)Modeling and SimulationInitial value problemDiscrete learning controllcsh:Electronic computers. Computer scienceActuatorSoftwareHydraulic actuatorsModeling, Identification and Control
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A Virtual Tool for Load Flow Analysis in a Micro-Grid

2020

This paper proposes a virtual tool for load flow analysis in energy distribution systems of micro-grids. The solution is based on a low-cost measurement architecture, which entails low-voltage power measurements in each secondary substation and a voltage measurement at the beginning of the medium voltage (MV) feeder. The proposed virtual tool periodically queries these instruments to acquire the measurements. Then, it implements a backward&ndash

Control and OptimizationComputer scienceEnergy Engineering and Power Technologylcsh:TechnologyElectric power systemDistributed generatorPower-flow studyElectrical and Electronic Engineeringsmart gridEngineering (miscellaneous)Simulationdistributed generationRenewable Energy Sustainability and the Environmentbusiness.industrylcsh:TMicro gridPower (physics)Smart gridpower systemFlow (mathematics)Distributed generationload flowNode (circuits)micro-gridmeasurement uncertaintiesbusinessSettore ING-INF/07 - Misure Elettriche E ElettronicheEnergy (miscellaneous)Voltage
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Fuzzy logic approach to predict vehicle crash severity from acceleration data

2015

Vehicle crash is a complex behavior to be investigated as a challenging topic in terms of dynamical modeling. On this aim, fuzzy logic can be utilized to analyze the crash dynamics rapidly and simply. In this paper, the experimental data of the frontal crash is recorded using an accelerometer located at the centre of the gravity of the vehicle. The acceleration signal was the raw data from which the collision intensity expressed by the kinetic energy and the jerk were derived. The fuzzy logic model was then developed from the two inputs namely kinetic energy and jerk. The output variable is the crash severity expressed as the dynamic crash. The result shows that the jerk contributes much to…

Control and OptimizationComputer scienceSIGNAL (programming language)CrashAccelerometerCollisionFuzzy logicFuzzy logic; Jerk and Kinetic energy; vehicle crash severity; Artificial Intelligence; Control and Optimization; Discrete Mathematics and CombinatoricsFuzzy logicJerk and Kinetic energyAccelerationVariable (computer science)JerkArtificial IntelligenceDiscrete Mathematics and CombinatoricsSimulationvehicle crash severity2015 International Conference on Fuzzy Theory and Its Applications (iFUZZY)
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Evaluation of the Administrative Phase-Out of Coal Power Plants on the Italian Electricity Market

2020

Although decarbonisation is one of the most important macro-trends of this century, electricity generation from coal power plants is still broadly common. The main goal of this study is to evaluate the impact of a premature coal power plants phase-out on the Italian day-ahead electricity market. For this purpose, two electricity price forecasts, related to different scenarios between 2019 and 2030, and two different hypotheses for the creation of electricity spot price, were compared. The results from the different scenarios show that coal power plants phase-out determines a small variation in electricity price when bid-up is not considered

Control and OptimizationElectricity priceNatural resource economicsEconomics020209 energyEnergy Engineering and Power Technologydecarbonisation02 engineering and technology010501 environmental sciencesPrice variationlcsh:Technology01 natural sciencesPhase (combat)Price analysiscoal phase-out0202 electrical engineering electronic engineering information engineeringEconomicsddc:330Electricity marketelectricity priceElectrical and Electronic EngineeringCoal power plantEngineering (miscellaneous)0105 earth and related environmental sciencesElectricity spot pricelcsh:TRenewable Energy Sustainability and the Environmentprice analysisSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaElectricity generationItalyprice analysioptimization model and simulationEnergy (miscellaneous)generation adequacy
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Optimal damping coefficient for a class of continuous contact models

2020

AbstractIn this study, we develop an analytical formula to approximate the damping coefficient as a function of the coefficient of restitution for a class of continuous contact models. The contact force is generated by a logical point-to-point force element consisting of a linear damper connected in parallel to a spring with Hertz force–penetration characteristic, while the exponent of deformation of the Hertz spring can vary between one and two. In this nonlinear model, it is assumed that the bodies start to separate when the contact force becomes zero. After separation, either the restitution continues or a permanent penetration is achieved. Therefore, this model is capable of addressing …

Control and OptimizationMaskinteknikk0211 other engineering and technologiesAerospace Engineering02 engineering and technology01 natural sciencesDamperContact forceMultibody DynamicsHertz0103 physical sciences010301 acoustics021106 design practice & managementMathematicsMechanical EngineeringMechanicsFunction (mathematics)Multibody systemComputer Science ApplicationsEffective mass (spring–mass system)VDP::Teknologi: 500ImpactSpring (device)Modeling and SimulationCoefficient of restitutionInnvirkningMultibody System Dynamics
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Assessing the Environmental Performances of Urban Roundabouts Using the VSP Methodology and AIMSUN

2022

In line with globally shared environmental sustainability goals, the shift towards citizen-friendly mobility is changing the way people move through cities and road user behaviour. Building a sustainable road transport requires design knowledge to develop increasingly green road infrastructures and monitoring the environmental impacts from mobile crowdsourced data. In this view, the paper presents an empirically based methodology that integrates the vehicle-specific power (VSP) model and microscopic traffic simulation (AIMSUN) to estimate second-by-second vehicle emissions at urban roundabouts. The distributions of time spent in each VSP mode from instantaneous vehicle trajectory data gathe…

Control and OptimizationRenewable Energy Sustainability and the EnvironmentRoundaboutEnergy Engineering and Power Technologyroundabout; vehicle-specific power; pollutant emission; microsimulation; road infrastructurePollutant emissionVehicle-specific powerroundabout vehicle-specific power pollutant emission microsimulation road infrastructureRoad infrastructureSettore ICAR/04 - Strade Ferrovie Ed AeroportiMicrosimulationElectrical and Electronic EngineeringEngineering (miscellaneous)Energy (miscellaneous)
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Computing Euclidean Steiner trees over segments

2020

In the classical Euclidean Steiner minimum tree (SMT) problem, we are given a set of points in the Euclidean plane and we are supposed to find the minimum length tree that connects all these points, allowing the addition of arbitrary additional points. We investigate the variant of the problem where the input is a set of line segments. We allow these segments to have length 0, i.e., they are points and hence we generalize the classical problem. Furthermore, they are allowed to intersect such that we can model polygonal input. As in the GeoSteiner approach of Juhl et al. (Math Program Comput 10(2):487–532, 2018) for the classical case, we use a two-phase approach where we construct a superse…

Control and OptimizationSelection (relational algebra)0211 other engineering and technologies02 engineering and technologySubset and supersetManagement Science and Operations ResearchSteiner tree problemComputational geometrySet (abstract data type)symbols.namesakeLine segment510 MathematicsEuclidean geometry021108 energyMathematicsDiscrete mathematicsT57-57.97021103 operations researchApplied mathematics. Quantitative methods510 MathematikQA75.5-76.95004 InformatikTree (graph theory)Computational MathematicsExact algorithmModeling and SimulationElectronic computers. Computer sciencesymbols004 Data processing
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Convergence of Markovian Stochastic Approximation with discontinuous dynamics

2016

This paper is devoted to the convergence analysis of stochastic approximation algorithms of the form $\theta_{n+1} = \theta_n + \gamma_{n+1} H_{\theta_n}({X_{n+1}})$, where ${\left\{ {\theta}_n, n \in {\mathbb{N}} \right\}}$ is an ${\mathbb{R}}^d$-valued sequence, ${\left\{ {\gamma}_n, n \in {\mathbb{N}} \right\}}$ is a deterministic stepsize sequence, and ${\left\{ {X}_n, n \in {\mathbb{N}} \right\}}$ is a controlled Markov chain. We study the convergence under weak assumptions on smoothness-in-$\theta$ of the function $\theta \mapsto H_{\theta}({x})$. It is usually assumed that this function is continuous for any $x$; in this work, we relax this condition. Our results are illustrated by c…

Control and OptimizationStochastic approximationMarkov processMathematics - Statistics Theorydiscontinuous dynamicsStatistics Theory (math.ST)Stochastic approximation01 natural sciencesCombinatorics010104 statistics & probabilitysymbols.namesake[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Convergence (routing)FOS: Mathematics0101 mathematics62L20state-dependent noiseComputingMilieux_MISCELLANEOUSMathematicsta112SequenceconvergenceApplied Mathematicsta111010102 general mathematicsFunction (mathematics)[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]16. Peace & justice[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationcontrolled Markov chainMarkovian stochastic approximationsymbolsStochastic approximat
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