Search results for "Modeling and Simulation"

showing 10 items of 1561 documents

Optimal control of the atmospheric arc of a space shuttle and numerical simulations with multiple-shooting method

2005

This article, continuation of previous works, presents the applications of geometric optimal control theory to the analysis of the Earth re-entry problem for a space shuttle where the control is the angle of bank, the cost is the total amount of thermal flux, and the system is subject to state constraints on the thermal flux, the normal acceleration and the dynamic pressure. Our analysis is based on the evaluation of the reachable set using the maximum principle and direct computations with the boundary conditions according to the CNES research project\footnote{The project is partially supported by the Centre National d'Etude Spatiales.}. The optimal solution is approximated by a concatenat…

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnology49K15 70M2049M15Boundary (topology)Space Shuttlemultiple-shooting method02 engineering and technology01 natural sciencesAcceleration020901 industrial engineering & automationShooting methodMaximum principleControl theoryBoundary value problemcontrol of the atmospheric arc0101 mathematicsMathematicsmultiple-shooting method.Applied Mathematics010102 general mathematics[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Optimal controlHeat fluxModeling and SimulationOptimal control with state constraints[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
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Minimum fuel control of the planar circular restricted three-body problem

2012

The circular restricted three-body problem is considered to model the dynamics of an artificial body submitted to the attraction of two planets. Minimization of the fuel consumption of the spacecraft during the transfer, e.g. from the Earth to the Moon, is considered. In the light of the controllability results of Caillau and Daoud (SIAM J Control Optim, 2012), existence for this optimal control problem is discussed under simplifying assumptions. Thanks to Pontryagin maximum principle, the properties of fuel minimizing controls is detailed, revealing a bang-bang structure which is typical of L1-minimization problems. Because of the resulting non-smoothness of the Hamiltonian two-point bound…

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Lagrangian point02 engineering and technology01 natural sciences0203 mechanical engineeringControl theory0103 physical sciencesApplied mathematicsBoundary value problemCircular orbit010303 astronomy & astrophysicsComputingMilieux_MISCELLANEOUSMathematical PhysicsMathematics020301 aerospace & aeronauticsApplied MathematicsConjugate points[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Astronomy and AstrophysicsOptimal controlThree-body problemControllabilityComputational MathematicsSpace and Planetary ScienceModeling and Simulation[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Hamiltonian (control theory)Celestial Mechanics and Dynamical Astronomy
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Interconnectivity of habitats in soil: combining X-ray micro tomography and thin sectioning to reveal fungal-soil structure interactions

2007

International audience; The extreme heterogeneity and interconnectivity of the 3-dimensional pore space within soil makes it a unique habitat for the diverse microbial population and has a pivotal role in microbial interactions. Manipulation and quantification of the 3-dimensional pore space and the spatial distribution of micro-organisms is therefore essential if we are to fully understand microbial interactions. Here we pack soil microcosms at different bulk-densities to manipulate soil structure and use x-ray micro tomography and soil thin sections to analyse the effect on the connectivity of the pore volume and on fungal exploration.

[ SDE ] Environmental Sciences[SDE] Environmental Sciences[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[SDE]Environmental Sciences[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
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Using Global Radiation Model to Simulate Surface Temperature Impact on Snow Melt - Loven Glacier – Spitsberg

2009

International audience

[ SDE.MCG ] Environmental Sciences/Global Changes[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[SDE.MCG] Environmental Sciences/Global Changes[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph][SDE.MCG]Environmental Sciences/Global Changes[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph][SDU.STU] Sciences of the Universe [physics]/Earth Sciences[SDU.STU]Sciences of the Universe [physics]/Earth Sciences[ SDU.STU ] Sciences of the Universe [physics]/Earth Sciences[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph][INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputingMilieux_MISCELLANEOUS
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A new invariant-based method for building biomechanical behavior laws - Application to an anisotropic hyperelastic material with two fiber families

2013

Abstract In this article, we present a general constructive and original approach that allows us to calculate the invariants associated with an anisotropic hyperelastic material made of two families of collagen fibers. This approach is based on mathematical techniques from the theory of invariants: • Definition of the material symmetry group. • Analytical calculation of a set of generators using the Noether’s theorem. • Analytical calculation of an integrity basis. • Comparison between the proposed invariants and the classical ones.

[ SPI.MAT ] Engineering Sciences [physics]/Materials02 engineering and technologyTheory of invariantsConstructiveAnisotropic hyperelastic material[SPI.MAT]Engineering Sciences [physics]/Materialssymbols.namesake0203 mechanical engineeringMaterials Science(all)Modelling and SimulationGeneral Materials ScienceBiomechanicsInvariant (mathematics)AnisotropyMaterial symmetryMathematicsMechanical EngineeringApplied MathematicsMathematical analysis021001 nanoscience & nanotechnologyCondensed Matter Physics020303 mechanical engineering & transportsMechanics of MaterialsModeling and SimulationHyperelastic materialsymbolsNoether's theorem0210 nano-technology
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A physical-based constitutive model for surface integrity prediction in machining of OFHC copper

2017

International audience; Due to the rising interest in predicting machined surface integrity and sustainability, various models for metal cutting simulation have been developed. However, their accuracy depends deeply on the physical description of the machining process. This study aims to develop an orthogonal cutting model for surface integrity prediction, which includes a physical-based constitutive model of Oxygen Free High Conductivity (OFHC) copper. This constitutive model incorporates the effects of the state of stress and microstructure on the work material behavior, as well as a dislocation density-based model for surface integrity prediction. The coefficients of the constitutive mod…

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]0209 industrial biotechnologyWork (thermodynamics)Materials scienceMatériaux [Sciences de l'ingénieur][ SPI.MECA ] Engineering Sciences [physics]/Mechanics [physics.med-ph]Constitutive equation[ SPI.MAT ] Engineering Sciences [physics]/Materials02 engineering and technologyIndustrial and Manufacturing Engineering[SPI.MAT]Engineering Sciences [physics]/MaterialsStress (mechanics)modelling020901 industrial engineering & automationMécanique: Génie mécanique [Sciences de l'ingénieur]MachiningResidual stress[SPI.MECA.MEMA]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of materials [physics.class-ph]Mécanique: Mécanique des matériaux [Sciences de l'ingénieur]business.industryMécanique [Sciences de l'ingénieur]OHFC copperMetals and AlloysStructural engineeringConstitutive model[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]021001 nanoscience & nanotechnologysurface integrityFinite element methodComputer Science Applications[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]Modeling and Simulation[ SPI.MECA.MEMA ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of materials [physics.class-ph]Ceramics and Compositesorthogonal cuttingDislocation0210 nano-technologybusinessSurface integrity
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An alternative space-time meshless method for solving transient heat transfer problems with high discontinuous moving sources

2016

International audience; The aim of this work is the development of a space-time diffuse approximation meshless method (DAM) to solve heat equations containing discontinuous sources. This work is devoted to transient heat transfer problems with static and moving heat sources applied on a metallic plate and whose power presents temporal discontinuities. The space-time DAM using classical weight function is convenient for continuous transient heat transfer. Nevertheless, for problems including discontinuities, some spurious oscillations for the temperature field occur. A new weight function, respecting the principle of causality, is used to eradicate the physically unexpected oscillations.

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]Work (thermodynamics)Weight functionField (physics)finite element method02 engineering and technologyClassification of discontinuitieselasto-dynamic problems01 natural sciences[SPI]Engineering Sciences [physics]0203 mechanical engineering[ SPI ] Engineering Sciences [physics]free galerkin methodrefinement0101 mathematicsconvectionMathematicsNumerical AnalysisSpace timeMechanicsCondensed Matter Physics[ SPI.MECA.THER ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Thermics [physics.class-ph][SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]Computer Science ApplicationsPower (physics)010101 applied mathematics020303 mechanical engineering & transportsClassical mechanicsMechanics of MaterialsModeling and Simulation[SPI.MECA.THER]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Thermics [physics.class-ph]Heat equationDevelopment (differential geometry)
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A spatially explicit model to simulate soil microbial communities’ dynamics at an agricultural landscape scale

2021

Soil microorganisms play a major role in soil functions and are an efficient indicator to evaluate the impact of agricultural practices on soil quality. Biogeographical studies over wide scales ranging from landscape to countries have concluded that soil microbial abundance and soil prokaryotic richness is following a heterogeneous distribution in space under the dependence of soil properties (e.g. pH, soil texture, organic matter content) and agricultural practices. The goal of this study is the creation of a model that can predict dynamics of soil microbial communities depending on the agricultural management over time. For this, we focus on a monitored landscape (Fénay landscape, 1.200 h…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Agent-based modelAgricultural landscapeParticipatory[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationSoil microbial communities
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Artificial Potential Field Simulation Framework for Semi-Autonomous Car Conception

2017

International audience; Artificial potential field is investigated to provide a high level of synergy between driver and semi-autonomous vehicle. This article presents a framework developed to test the performances of this approach. Stand-alone performances of this system is tested for a lane keeping and cruise control application. Performances are promising and future development is discussed.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Synthèse d'image et réalité virtuelle [Informatique][INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]Modélisation et simulation [Informatique]Autonomous car[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Intelligence artificielle [Informatique]Interface homme-machine [Informatique]Human-machine interface[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationArtificial potential field[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]Simulation
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in Informatique graphique, modélisation géométrique et animation

2007

International audience; no abstract

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[INFO.INFO-RO] Computer Science [cs]/Operations Research [cs.RO][ INFO.INFO-NA ] Computer Science [cs]/Numerical Analysis [cs.NA][INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-MS ] Computer Science [cs]/Mathematical Software [cs.MS][INFO.INFO-MS] Computer Science [cs]/Mathematical Software [cs.MS][INFO.INFO-NA] Computer Science [cs]/Numerical Analysis [cs.NA][ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-AU] Computer Science [cs]/Automatic Control EngineeringComputingMilieux_MISCELLANEOUS[ INFO.INFO-RO ] Computer Science [cs]/Operations Research [cs.RO]
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