Search results for "SIM"

showing 10 items of 10139 documents

Numerical modelling of fatigue crack initiation and growth of martensitic steels

2010

This paper presents a numerical simulation of micro-crack initiation that is based on Tanaka-Mura micro-crack nucleation model. Three improvements were added to this model. First, multiple slip bands where micro-cracks may occur are used in each grain. Second improvement deals with micro-crack coalescence by extending existing micro-cracks along grain boundaries and connecting them into a macro-crack. The third improvement handles segmented micro-crack generation, where a micro-crack is not nucleated in one step like in Tanaka-Mura model, but is instead generated in multiple steps. High cycle fatigue testing was also performed and showed reasonably good correlation of proposed model to expe…

Coalescence (physics)Materials scienceComputer simulationbusiness.industryMechanical EngineeringLüders bandNucleationFatigue testingStructural engineeringMechanics of MaterialsMartensiteSurface roughnessGeneral Materials ScienceGrain boundarybusinessFatigue & Fracture of Engineering Materials & Structures
researchProduct

Structuring of polymer blends in simple shear flow

1990

A simplified model for the formation of steady state structure of discrete domains in polymer blends is established for simple shear flow. It is assumed that the domain size distribution, which results from an equilibrium between breakup processes and coalescence processes, may be divided in small and stable spherical domains and large and unstable ellipsoidal domains. Based on simplified rate balances and an expression for domain deformation rate the volume fraction of large domains and the large and small semiaxes of the ellipsoids are expressed as functions of volume fraction and shear rate/shear stress. The ability of the model to simulate actual behaviour is tested against quantitative…

Coalescence (physics)Materials sciencePolymers and PlasticsOrganic ChemistryMechanicsCondensed Matter PhysicsBreakupEllipsoidShear rateSimple shearVolume fractionMaterials ChemistryShear stressPolymer blendMakromolekulare Chemie. Macromolecular Symposia
researchProduct

Wind tunnel study on the size distribution of droplets after collision induced breakup of levitating water drops

2018

Abstract Wind tunnel experiments on collisions between drop pairs of 2.5 and 0.5 mm diameter have been performed and the coalescence and breakup events have been recorded by a high-speed digital camera. From the comprehensive analysis of the captured images, the most important parameters utilized in numerical models, such as coalescence efficiency, breakup type, number of fragments and fragment size distribution after breakup were determined. The experimentally obtained parameters have been compared to parameterizations based on earlier laboratory studies of Low and List, and on direct numerical simulations. A very good agreement between experimental results and parameterizations has been f…

Coalescence (physics)PhysicsAtmospheric Science010504 meteorology & atmospheric sciencesDrop (liquid)Direct numerical simulationMechanicsBreakupCollision01 natural sciences010305 fluids & plasmasFragment size0103 physical sciencesLevitationNuclear Experiment0105 earth and related environmental sciencesWind tunnelAtmospheric Research
researchProduct

Reglamento de la M. I. Cofradía y Hermandad de Jesús Nazareno y Santísima Cruz : establecida en la Iglesia de Ntra. Sra. del Pilar de esta ciudad.…

1889

Cofradía y Hermandad de Jesús Nazareno y Santísima Cruz (València) Reglaments.Confraries València.Jesús Culte Comunitat Valenciana València.
researchProduct

Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality

2015

A challenging problem when studying a dynamical system is to find the interdependencies among its individual components. Several algorithms have been proposed to detect directed dynamical influences between time series. Two of the most used approaches are a model-free one (transfer entropy) and a model-based one (Granger causality). Several pitfalls are related to the presence or absence of assumptions in modeling the relevant features of the data. We tried to overcome those pitfalls using a neural network approach in which a model is built without any a priori assumptions. In this sense this method can be seen as a bridge between model-free and model-based approaches. The experiments perfo…

Cognitive NeuroscienceEntropyFOS: Physical sciencesOverfittingcomputer.software_genreMachine learningGranger causalityArtificial IntelligenceMedicine and Health SciencesEntropy (information theory)Non-uniform embeddingComputer SimulationMathematicsArtificial neural networkbusiness.industryProbability and statisticsModels TheoreticalNeural Networks (Computer)ClassificationNeural networkAlgorithmCausalityPhysics - Data Analysis Statistics and ProbabilitySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityEmbeddingA priori and a posterioriTransfer entropyNeural Networks ComputerArtificial intelligenceData miningbusinesscomputerAlgorithmsNeural networksData Analysis Statistics and Probability (physics.data-an)
researchProduct

What Will You Do Next? A Cognitive Model for Understanding Others’ Intentions Based on Shared Representations

2013

Goal-directed action selection is the problem of what to do next in order to progress towards goal achievement. This problem is computationally more complex in case of joint action settings where two or more agents coordinate their actions in space and time to bring about a common goal: actions performed by one agent influence the action possibilities of the other agents, and ultimately the goal achievement. While humans apparently effortlessly engage in complex joint actions, a number of questions remain to be solved to achieve similar performances in artificial agents: How agents represent and understand actions being performed by others? How this understanding influences the choice of ag…

Cognitive modelCognitive scienceKnowledge managementProcess (engineering)Computer sciencebusiness.industryAction selectionTask (project management)Joint actionAction (philosophy)Order (exchange)Computational models of cogntion Human-robot collaboration Joint action Motor simulation Shared representationsGoal achievementbusiness
researchProduct

Modeling visual sampling on in-car displays: The challenge of predicting safety-critical lapses of control

2015

In this article, we study how drivers interact with in-car interfaces, particularly by focusing on understanding driver in-car glance behavior when multitasking while driving. The work focuses on using an in-car touch screen to find a target item from a large number of unordered visual items spread across multiple screens. We first describe a cognitive model that aims to represent a driver?s visual sampling strategy when interacting with an in-car display. The proposed strategy assumes that drivers are aware of the passage of time during the search task; they try to adjust their glances at the display to a time limit, after which they switch back to the driving task; and they adjust their t…

Cognitive modelComputer scienceHuman Factors and ErgonomicsEducationTask (project management)Cognitive modelingInhibition of returnHuman–computer interactionDistractionHuman multitaskingComputer visionVisual searchCommunication designta113business.industryVisual searchGeneral EngineeringDriving simulatorDistractionGazeIn-car displaysHuman-Computer InteractionHardware and ArchitectureEye trackingArtificial intelligenceInterleaving strategybusinessSoftwareDriving
researchProduct

Artificial organisms as tools for the development of psychological theory: Tolman's lesson

2007

In the 1930s and 1940s, Edward Tolman developed a psychological theory of spatial orientation in rats and humans. He expressed his theory as an automaton (the ‘‘schematic sowbug’’) or what today we would call an ‘‘artificial organism.’’ With the technology of the day, he could not implement his model. Nonetheless, he used it to develop empirical predictions which tested with animals in the laboratory. This way of proceeding was in line with scientific practice dating back to Galileo. The way psychologists use artificial organisms in their work today breaks with this tradition. Modern ‘‘artificial organisms’’ are constructed a posteriori, working from experimental or ethological observations…

Cognitive modelSettore M-PSI/01 - Psicologia GeneraleComputer scienceCognitive NeuroscienceSpatial BehaviorExperimental and Cognitive Psychologysymbols.namesakeArtificial IntelligenceOrientationArtificial organisms Cognitive modeling Schematic sowbug Tolman's theoryPsychological TheoryGalileo (satellite navigation)AnimalsLearningSchematic sowbug Cognitive modeling Artificial organisms Tolman’s theoryComputer Simulationbusiness.industrySchematicGeneral MedicineRoboticsHistory 20th CenturyModels TheoreticalTrial and errorAutomatonRatsSpace PerceptionsymbolsA priori and a posterioriRobotArtificial intelligencebusinessPsychological Theory
researchProduct

Complexity analysis of spectrum access strategies with channel aggregation in CR networks

2012

Cognitive radio has been introduced to increase spectrum utilization efficiency. To further improve bandwidth utilization of cognitive radio users, channel aggregation (CA) techniques can be adopted for spectrum access. In this paper, we analyze the complexity of three CA strategies, in terms of required amount of handshakes for channel adaptation due to primary and secondary user activities. Continuous time Markov chain models are developed to evaluate the total number of handshakes required per unit time by different CA strategies and the analytical results are validated by simulations. Numerical results reveal that the complexity of CA strategies depends on the capability and the design …

Cognitive radioComputer scienceDistributed computingSpectrum (functional analysis)Adaptation (computer science)SimulationCommunication channel2012 IEEE Global Communications Conference (GLOBECOM)
researchProduct

Implicit Perception Simplicity and Explicit Perception Complexity in Sensorimotor Comunication

2019

Cognitive scienceComputational neuroscienceactive perceptionActive perceptionComputer scienceSocial perceptionmedia_common.quotation_subjectGeneral Physics and Astronomysocial perceptionKinematicsArtificial IntelligencePerceptionSimplicityGeneral Agricultural and Biological Sciencesmedia_commoncomputational neuroscience
researchProduct