Search results for "multiscale modeling"

showing 3 items of 13 documents

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
researchProduct

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
researchProduct

Mechanistic Modeling and Multiscale Applications for Precision Medicine: Theory and Practice

2020

Drug research, therapy development, and other areas of pharmacology and medicine can benefit from simula- tions and optimization of mathematical models that contain a mathematical description of interactions between systems elements at the cellular, tissue, organ, body, and population level. This approach is the foundation of systems medicine and precision medicine. Here, simulated experiments are performed with computers (in silico) first, and they are then replicated through lab experiments (in vivo or in vitro) or clinical studies. In turn, these experiments and studies can be used to validate or improve the models. This iterative loop of dry and wet lab work is successful when biomedica…

medicinemultiscaleMathematical modelManagement scienceComputer sciencefungifood and beveragesmodelingGeneral MedicinePrecision medicineMultiscale modelingNetwork and Systems Medicine
researchProduct