Search results for "Multiscale model"

showing 10 items of 23 documents

Visual indicator for the detection of end-of-life criterion for composite high pressure vessels for hydrogen storage

2012

International audience; A model to predict the accumulation of fibre breaks in advanced composites, that takes into account all physical phenomena implicated in fibre failure (i.e. the random nature, stress transfer due to breaks, fibre debonding and viscosity of the matrix) shows clearly that the failure of a unidirectional composite structure results in the formation of random fibre breaks which at higher loads coalesce into clusters of broken fibres. This stage of development is followed almost immediately by failure. This has direct application to filament wound pressure vessels of the type used to store hydrogen under high pressure. A novel, cost effective, method of revealing developi…

Materials scienceFibre failureHydrogen[ SPI.MAT ] Engineering Sciences [physics]/MaterialsComposite numberFailureEnergy Engineering and Power Technologychemistry.chemical_elementLife prediction02 engineering and technology[SPI.MAT]Engineering Sciences [physics]/MaterialsProtein filamentStress (mechanics)Hydrogen storageViscosityMultiscale modellingComposite materialRenewable Energy Sustainability and the Environment020502 materials021001 nanoscience & nanotechnologyCondensed Matter PhysicsPressure vesselFuel Technology0205 materials engineeringchemistryComposite pressure vesselAdvanced composite materials0210 nano-technology
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Multiscale modeling of polymers at interfaces

2009

A brief review of modeling and simulation methods for a study of polymers at interfaces is provided. When studying truly multiscale problems as provided by realistic polymer systems, coarse graining is practically unavoidable. In this process, degrees of freedom on smaller scales are eliminated to the favor of a model suitable for efficient study of the system behavior on larger length and time scales. We emphasize the need to distinguish between dynamic and static properties regarding the model validation. A model which accurately reproduces static properties may fail completely, when it comes to the dynamic behavior of the system. Furthermore, we comment on the use of Monte Carlo method i…

Materials scienceInterface (Java)Monte Carlo methodMetals and AlloysProcess (computing)Degrees of freedom (statistics)FOS: Physical sciencesCondensed Matter - Soft Condensed MatterCondensed Matter PhysicsMultiscale modelingModeling and simulationMolecular dynamicsMaterials ChemistrySoft Condensed Matter (cond-mat.soft)GranularityStatistical physicsPhysical and Theoretical Chemistry
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Modelización computacional cardiaca

2020

Resumen Las enfermedades cardiovasculares tienen en la actualidad un gran impacto social y economico y constituyen una de las principales causas de mortalidad y morbilidad. Los modelos computacionales personalizados del corazon estan demostrando ser utiles tanto para ayudar a comprender los mecanismos subyacentes a las patologias cardiacas como para optimizar su tratamiento prediciendo la respuesta del paciente. En este contexto, se ha puesto en marcha la Red Espanola de Investigacion en Modelizacion Computacional Cardiaca (V-Heart SN). El objetivo general de V-Heart SN es el desarrollo de un modelo computacional multifisico y multiescala integrado del corazon. Este objetivo general se abor…

Modelos cardiovasculares030204 cardiovascular system & hematologyPatient-specific modelsCor -- Models03 medical and health sciencesMultiscale modelling0302 clinical medicineVirtual heartMedicineMultiscale modelingModelos cardiacosModelos específicos de pacienteCardiovascular modelsModelització multiescala:Física [Àrees temàtiques de la UPC]business.industryElectromechanical modellingHemodynamicsModelos multiescalaHemodynamics modelsHemodinàmicaHeart--Models3. Good healthCardiac modelsCardiology and Cardiovascular MedicinebusinessHumanities
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Modelización computacional cardiaca

2020

[EN] Cardiovascular diseases currently have a major social and economic impact, constituting one of the leading causes of mortality and morbidity. Personalized computational models of the heart are demonstrating their usefulness both to help understand the mechanisms underlying cardiac disease, and to optimize their treatment and predict the patient's response. Within this framework, the Spanish Research Network for Cardiac Computational Modelling (VHeart-SN) has been launched. The general objective of the VHeart-SN network is the development of an integrated, modular and multiscale multiphysical computational model of the heart. This general objective is addressed through the following spe…

Modelos cardiovascularesHeart DiseasesDisease030204 cardiovascular system & hematologyPatient-specific modelsTECNOLOGIA ELECTRONICA03 medical and health sciencesMultiscale modelling0302 clinical medicineHumansMedicine03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edadesEconomic impact analysisModelos cardiacosModelos específicos de pacienteComputational modelCardiovascular modelsbusiness.industryModelos multiescalaHeartGeneral MedicineModular design3. Good healthCardiac modelsRisk analysis (engineering)business
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FE·Meshless multiscale modeling of heterogeneous periodic materials

2013

The computational mutiscale modeling of periodic heterogeneous materials, characterized by the assembly of units and joints, represents a compromise between the inaccuracy resulting from the macro modeling approach and the computational effort of the meso modeling. Assuming that the heterogeneities are orders of magnitude smaller than the structure dimensions, according to the multiscale approach, the macroscopic stresses and strains around a certain point can be found by averaging the stresses and the strains in a small representative part of the microstructure or a representative volume element (RVE) attributed to that point. A first-order two-scale scheme has been used to model heterogen…

Multiscale model meshless elastoplasticitySettore ICAR/08 - Scienza Delle Costruzioni
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two-scale three-dimensional boundary element framework for degradation and failure in polycrystalline materials

2014

A fully three-dimensional two-scale boundary element approach to degradation and failure in polycrystalline materials is proposed. The formulation involves the engineering component level (macroscale) and the material grain scale (micro-scale). The damage-induced local softening at the macroscale is modelled employing an initial stress approach. The microscopic degradation processes are explicitly modelled by associating Representative Volume Elements (RVEs) to relevant points of the macro continuum and employing a three-dimensional grain-boundary formulation to simulate intergranular degradation and failure in the microstructural Voronoi-type morphology through cohesive-frictional contact …

Multiscale modellingPolycrystalline materialNon-linear boundary element method.Settore ING-IND/04 - Costruzioni E Strutture AerospazialiMicromechanic
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Limits of lateral expansion in two-dimensional materials with line defects

2021

The flexibility of two-dimensional (2D) materials enables static and dynamic ripples that are known to cause lateral contraction, shrinking of the material boundary. However, the limits of 2D materials' \emph{lateral expansion} are unknown. Therefore, here we discuss the limits of intrinsic lateral expansion of 2D materials that are modified by compressive line defects. Using thin sheet elasticity theory and sequential multiscale modeling, we find that the lateral expansion is inevitably limited by the onset of rippling. The maximum lateral expansion $\chi_{max}\approx 2.1\cdot t^2\sigma_d$, governed by the elastic thickness $t$ and the defect density $\sigma_d$, remains typically well belo…

PhysicsCondensed Matter - Mesoscale and Nanoscale PhysicsPhysics and Astronomy (miscellaneous)Condensed matter physicsBoundary (topology)SigmaFOS: Physical sciencesApproxLateral expansionMultiscale modelingkimmoisuusStrain engineeringRipplingMesoscale and Nanoscale Physics (cond-mat.mes-hall)grafeeniGeneral Materials SciencesimulointiohutkalvotContraction (operator theory)
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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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Supramolecular self-assembly on the B-Si(111)-(√3x√3) R30° surface: From single molecules to multicomponent networks

2017

Abstract Understanding the physical and chemical processes in which local interactions lead to ordered structures is of particular relevance to the realization of supramolecular architectures on surfaces. While spectacular patterns have been demonstrated on metal surfaces, there have been fewer studies of the spontaneous organization of supramolecular networks on semiconductor surfaces, where the formation of covalent bonds between organics and adatoms usually hamper the diffusion of molecules and their subsequent interactions with each other. However, the saturation of the dangling bonds at a semiconductor surface is known to make them inert and offers a unique way for the engineering of m…

Two-dimensional molecular networkSupramolecular chemistryNanotechnology02 engineering and technology010402 general chemistry01 natural sciencesLondon dispersion forcelaw.invention[SPI.MAT]Engineering Sciences [physics]/MaterialsMultiscale modellinglawMaterials ChemistryMolecule[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsScanning tunneling microscopyTopology (chemistry)[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]ChemistryIntermolecular forceSemiconductor surfacesMetals and AlloysDangling bondSurfaces and InterfacesGeneral ChemistrySelf-assembly Intermolecular forces021001 nanoscience & nanotechnologyCondensed Matter Physics0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsSelf-assemblyScanning tunneling microscope0210 nano-technology
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An Early Stage Researcher's Primer on Systems Medicine Terminology

2021

Background: Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to Systems Medicine. Thes…

computer_scienceGraphs and NetworksmedicineGlossary[SDV]Life Sciences [q-bio]Comprehensive ReviewTerminology03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingMachine learningGeneticsmultiscale data science[INFO]Computer Science [cs]systems medicinemulti-scale modellingMulti-scale modellingComputingMilieux_MISCELLANEOUS030304 developmental biologyInterdisciplinarityMulti-scale data science0303 health scienceshealthGeneral MedicineHuman bodySciences bio-médicales et agricolesData science[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]multiscale modeling3. Good healthTerm (time)Systems medicinemachine learningmulti-scale data scienceSystems medicineMedicine/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being030217 neurology & neurosurgeryNetwork and Systems Medicine
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