Littérature scientifique sur le sujet « High-Fidelity simulations »
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Articles de revues sur le sujet "High-Fidelity simulations"
Lee White, Marjorie, Shawn R. Gilbert, Amber Q. Youngblood, J. Lynn Zinkan, Rachel Martin et Nancy M. Tofil. « High-Fidelity Simulations for Orthopaedic Residents ». Journal of Bone and Joint Surgery-American Volume 95, no 10 (mai 2013) : e70-1-4. http://dx.doi.org/10.2106/jbjs.l.00761.
Texte intégralGarmann, Daniel J., et Miguel R. Visbal. « High-Fidelity Simulations of Afterbody Vortex Flows ». AIAA Journal 57, no 9 (septembre 2019) : 3980–90. http://dx.doi.org/10.2514/1.j058284.
Texte intégralChen, Xiaodong, Dongjun Ma, Vigor Yang et Stephane Popinet. « HIGH-FIDELITY SIMULATIONS OF IMPINGING JET ATOMIZATION ». Atomization and Sprays 23, no 12 (2013) : 1079–101. http://dx.doi.org/10.1615/atomizspr.2013007619.
Texte intégralHamilton, Cam, et Ginny Langham. « Low Fidelity Simulations with High Impact Results ». Clinical Simulation in Nursing 5, no 3 (mai 2009) : S7. http://dx.doi.org/10.1016/j.ecns.2009.03.175.
Texte intégralGroen, D., J. Borgdorff, C. Bona-Casas, J. Hetherington, R. W. Nash, S. J. Zasada, I. Saverchenko et al. « Flexible composition and execution of high performance, high fidelity multiscale biomedical simulations ». Interface Focus 3, no 2 (6 avril 2013) : 20120087. http://dx.doi.org/10.1098/rsfs.2012.0087.
Texte intégralMüller, Maximilian, Malte Woidt, Matthias Haupt et Peter Horst. « Challenges of Fully-Coupled High-Fidelity Ditching Simulations ». Aerospace 6, no 2 (22 janvier 2019) : 10. http://dx.doi.org/10.3390/aerospace6020010.
Texte intégralHarrington, Peter, Mustafa Mustafa, Max Dornfest, Benjamin Horowitz et Zarija Lukić. « Fast, High-fidelity Lyα Forests with Convolutional Neural Networks ». Astrophysical Journal 929, no 2 (1 avril 2022) : 160. http://dx.doi.org/10.3847/1538-4357/ac5faa.
Texte intégralHarrington, Peter, Mustafa Mustafa, Max Dornfest, Benjamin Horowitz et Zarija Lukić. « Fast, High-fidelity Lyα Forests with Convolutional Neural Networks ». Astrophysical Journal 929, no 2 (1 avril 2022) : 160. http://dx.doi.org/10.3847/1538-4357/ac5faa.
Texte intégralXu, Jie, Si Zhang, Edward Huang, Chun-Hung Chen, Loo Hay Lee et Nurcin Celik. « MO2TOS : Multi-Fidelity Optimization with Ordinal Transformation and Optimal Sampling ». Asia-Pacific Journal of Operational Research 33, no 03 (juin 2016) : 1650017. http://dx.doi.org/10.1142/s0217595916500172.
Texte intégralRanftl, Sascha, Gian Marco Melito, Vahid Badeli, Alice Reinbacher-Köstinger, Katrin Ellermann et Wolfgang von der Linden. « On the Diagnosis of Aortic Dissection with Impedance Cardiography : A Bayesian Feasibility Study Framework with Multi-Fidelity Simulation Data ». Proceedings 33, no 1 (9 décembre 2019) : 24. http://dx.doi.org/10.3390/proceedings2019033024.
Texte intégralThèses sur le sujet "High-Fidelity simulations"
Cetraro, Giampaolo. « High-fidelity flow simulations of electroactive membrane wings ». Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/416114/.
Texte intégralGarmann, Daniel J. « High-Fidelity Simulations of Transitional Flow Over Pitching Airfoils ». University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1276955868.
Texte intégralTalnikar, Chaitanya Anil. « Methods for design optimization using high fidelity turbulent flow simulations ». Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/106965.
Texte intégralCataloged from PDF version of thesis.
Includes bibliographical references (pages 75-79).
Design optimization with high-fidelity turbulent flow simulations can be challenging due to noisy and expensive objective function evaluations. The noise decays slowly as computation cost increases, therefore is significant in most simulations. It is often unpredictable due to chaotic dynamics of turbulence, in that it can be totally different for almost identical simulations. This thesis presents a modified parallel Bayesian optimization algorithm designed for performing optimization with high-fidelity simulations. It strives to find the optimum in a minimum number of evaluations by judiciously exploring the design space. Additionally, to potentially augment the optimization algorithm with the availability of a gradient, a massively parallel discrete unsteady adjoint solver for the compressible Navier-Stokes equations is derived and implemented. Both the methods are demonstrated on a large scale transonic fluid flow problem in a turbomachinery component.
by Chaitanya Anil Talnikar.
S.M.
Mohan, Arvind Thanam. « Data-Driven Analysis Methodologies for Unsteady Aerodynamics from High Fidelity Simulations ». The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1512058039822368.
Texte intégralMajor, Maximillian R. « High-fidelity simulations of transverse electric waves propagating through Alcator C-Mod ». Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112469.
Texte intégralCataloged from PDF version of thesis.
Includes bibliographical references (page 28).
This project represents an attempt to model the propagation of microwaves into Alcator C-Mod's plasma in high fidelity and with a reduced number of degrees of freedom. The success of this endeavor would accelerate progress within the field of fusion energy, as simulations of C-Mod's plasmas, or other plasmas in general, can be run more quickly while still maintaining their accuracy. The main procedure involves producing simulations within COMSOL that use mode numbers based on a power spectrum of waves at 4.6 GHz. These simulations are then overlaid to model how the waves will propagate as a function of position, plasma density, and local flux. Future work could focus on verifying the accuracy of the simulations when compared to data acquired from C-Mod as well as ensuring the run-time of the simulations is indeed faster than other methods.
by Maximillian R. Major.
S.B.
Dhruv, Akash. « A Multiphase Solver for High-Fidelity Phase-Change Simulations over Complex Geometries ». Thesis, The George Washington University, 2021. http://pqdtopen.proquest.com/#viewpdf?dispub=28256871.
Texte intégralZhu, Yixuan. « High fidelity simulations of optical waveguides for optical frequency conversion and frequency combs ». Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/30946/.
Texte intégralCarroll, Joseph Ray. « Time-averaged surrogate modeling for small scale propellers based on high-fidelity CFD simulations ». Thesis, Mississippi State University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3603422.
Texte intégralMany Small Unmanned Aerial Vehicles (SUAV) are driven by small scale, fixed blade propellers. The flow produced by the propeller, known as the propeller slipstream, can have significant impact on SUAV aerodynamics. In the design and analysis process for SUAVs, numerous Computational Fluid Dynamic (CFD) simulations of the coupled aircraft and propeller are often conducted which require a time-averaged, steady-state approximation of the propeller for computational efficiency. Most steady-state propeller models apply an actuator disk of momentum sources to model the thrust and swirl imparted to the flow field by a propeller. These momentum source models are based on simplified theories which lack accuracy. Currently, the most common momentum source models are based on blade element theory. Blade element theory discretizes the propeller blade into airfoil sections and assumes them to behave as two-dimensional (2D) airfoils. Blade element theory neglects many 3D flow effects that can greatly affect propeller performance limiting its accuracy and range of application.
The research work in this dissertation uses a surrogate modeling method to develop a more accurate momentum source propeller model. Surrogate models for the time averaged thrust and swirl produced by each blade element are trained from a database of time-accurate, high-fidelity 3D CFD propeller simulations. Since the surrogate models are trained from these high-fidelity CFD simulations, various 3D effects on propellers are inherently accounted for such as tip loss, hub loss, post stall effect, and element interaction. These efficient polynomial response surface surrogate models are functions of local flow properties at the blade elements and are embedded into 3D CFD simulations as locally adaptive momentum source terms. Results of the radial distribution of thrust and swirl for the steady-state surrogate propeller model are compared to that of time-dependent, high-fidelity 3D CFD propeller simulations for various aircraft-propeller coupled situations. This surrogate propeller model which is dependent on local flow field properties simulates the time-averaged flow field produced by the propeller at a momentum source term level of detail. Due to the nature of the training cases, it also captures the accuracy of time dependent 3D CFD propeller simulations but at a much lower cost.
Hedlund, Erik. « High-fidelity 3D acoustic simulations of wind turbines with irregular terrain and different atmospheric profiles ». Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-298754.
Texte intégralChristen, Henry Tiffany. « Community college educators' perceptions of the instructional infrastructure needed for high-fidelity paramedic training simulations ». [Pensacola, Fla.] : University of West Florida, 2009. http://purl.fcla.edu/fcla/etd/WFE0000150.
Texte intégralLivres sur le sujet "High-Fidelity simulations"
Center, NASA Glenn Research, dir. Overview of high-fidelity modeling activities in the numerical propulsion system simulations (NPSS) project. [Cleveland, Ohio] : National Aeronautics and Space Administration, Glenn Research Center, 2002.
Trouver le texte intégralCenter, NASA Glenn Research, dir. Overview of high-fidelity modeling activities in the numerical propulsion system simulations (NPSS) project. [Cleveland, Ohio] : National Aeronautics and Space Administration, Glenn Research Center, 2002.
Trouver le texte intégralCenter, NASA Glenn Research, dir. Overview of high-fidelity modeling activities in the numerical propulsion system simulations (NPSS) project. [Cleveland, Ohio] : National Aeronautics and Space Administration, Glenn Research Center, 2002.
Trouver le texte intégralVeres, Joseph P. Overview of high-fidelity modeling activities in the numerical propulsion system simulations (NPSS) project. [Cleveland, Ohio] : National Aeronautics and Space Administration, Glenn Research Center, 2002.
Trouver le texte intégralUnited States. National Aeronautics and Space Administration., dir. OVERVIEW OF HIGH-FIDELITY MODELING ACTIVITIES IN THE NUMERICAL PROPULSION SYSTEM SIMULATIONS (NPSS) PROJECT... NASA/TM--2002-211351... NATIO. [S.l : s.n., 2003.
Trouver le texte intégral1941-, Lashley Felissa R., dir. High-fidelity patient simulation in nursing education. Sudbury, Mass : Jones and Bartlett Publishers, 2010.
Trouver le texte intégralCenter, Ames Research, dir. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif : National Aeronautics and Space Administration, Ames Research Center, 1988.
Trouver le texte intégralBallin, Mark G. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif : Ames Research Center, 1988.
Trouver le texte intégralCenter, Ames Research, dir. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif : National Aeronautics and Space Administration, Ames Research Center, 1988.
Trouver le texte intégralCenter, Ames Research, dir. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif : National Aeronautics and Space Administration, Ames Research Center, 1988.
Trouver le texte intégralChapitres de livres sur le sujet "High-Fidelity simulations"
Marouf, A., N. Simiriotis, J. B. Tô, Y. Hoarau, J. B. Vos, D. Charbonnier, A. Gehri et al. « High-Fidelity Numerical Simulations ». Dans Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 89–154. Cham : Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22580-2_4.
Texte intégralZhou, Hang, Josh McConnell, Terry A. Ring et James C. Sutherland. « Insights of MILD Combustion from High-Fidelity Simulations ». Dans Clean Coal and Sustainable Energy, 59–81. Singapore : Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1657-0_5.
Texte intégralTraxinger, Christoph, Julian Zips, Christian Stemmer et Michael Pfitzner. « Numerical Investigation of Injection, Mixing and Combustion in Rocket Engines Under High-Pressure Conditions ». Dans Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 209–21. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53847-7_13.
Texte intégralMoin, Parviz. « Application of High Fidelity Numerical Simulations for Vehicle Aerodynamics ». Dans The Aerodynamics of Heavy Vehicles II : Trucks, Buses, and Trains, 321. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85070-0_29.
Texte intégralGoodin, Chris, Phillip J. Durst, Burhman Gates, Chris Cummins et Jody Priddy. « High Fidelity Sensor Simulations for the Virtual Autonomous Navigation Environment ». Dans Simulation, Modeling, and Programming for Autonomous Robots, 75–86. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17319-6_10.
Texte intégralProbst, Axel, Tobias Knopp, Cornelia Grabe et Jens Jägersküpper. « HPC Requirements of High-Fidelity Flow Simulations for Aerodynamic Applications ». Dans Euro-Par 2019 : Parallel Processing Workshops, 375–87. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48340-1_29.
Texte intégralWiri, Suthee, Thomas Wofford, Troy Dent et Charles Needham. « Reconstruction of Recoilless Weapon Blast Environments Using High-Fidelity Simulations ». Dans 30th International Symposium on Shock Waves 2, 1367–71. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-44866-4_100.
Texte intégralNavrátil, Jan. « High-Fidelity Static Aeroelastic Simulations of the Common Research Model ». Dans Flexible Engineering Toward Green Aircraft, 49–70. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36514-1_4.
Texte intégralBraithwaite, Graham. « The Use of High-Fidelity Simulations in Emergency Management Training ». Dans Forensic Science Education and Training, 235–52. Chichester, UK : John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118689196.ch15.
Texte intégralPanagiotaki, Eleftheria, Matt G. Hall, Hui Zhang, Bernard Siow, Mark F. Lythgoe et Daniel C. Alexander. « High-Fidelity Meshes from Tissue Samples for Diffusion MRI Simulations ». Dans Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010, 404–11. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15745-5_50.
Texte intégralActes de conférences sur le sujet "High-Fidelity simulations"
Perez, David, Patricia Diaz, Anthony Sanguinetti et Seokkwan Yoon. « Tiltwing Transition Flight Analysis Using High-Fidelity CFD ». Dans Vertical Flight Society 80th Annual Forum & Technology Display, 1–27. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1229.
Texte intégralBoychev, Kiril, George N. Barakos, Rene Steijl et Scott Shaw. « High fidelity simulations of supersonic intakes ». Dans AIAA Scitech 2020 Forum. Reston, Virginia : American Institute of Aeronautics and Astronautics, 2020. http://dx.doi.org/10.2514/6.2020-2092.
Texte intégralCetraro, Giampaolo, et Richard D. Sandberg. « High fidelity simulations of electroactive membrane wings ». Dans 53rd AIAA Aerospace Sciences Meeting. Reston, Virginia : American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-1301.
Texte intégralBarnes, Caleb, et Miguel Visbal. « High-Fidelity Simulations of a Corrugated Airfoil ». Dans 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. Reston, Virigina : American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-753.
Texte intégralO'Brien, Sean G., John C. Giever et Steven J. McGee. « BEAMS cloud model for high-fidelity simulations ». Dans Aerospace/Defense Sensing and Controls, sous la direction de Nickolas L. Faust. SPIE, 1996. http://dx.doi.org/10.1117/12.242977.
Texte intégralAthavale, M. M., et A. J. Przekwas. « High-Fidelity CFD Simulations of Microfluidic Devices ». Dans 1996 Solid-State, Actuators, and Microsystems Workshop. San Diego, CA USA : Transducer Research Foundation, Inc., 1996. http://dx.doi.org/10.31438/trf.hh1996a.4.
Texte intégralBarnes, Caleb, et Miguel Visbal. « High-Fidelity Simulations of a Hovering Wing ». Dans 42nd AIAA Fluid Dynamics Conference and Exhibit. Reston, Virigina : American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-2699.
Texte intégralGarmann, Daniel J., et Miguel R. Visbal. « High-Fidelity Simulations of Afterbody Vortex Flows ». Dans AIAA Scitech 2019 Forum. Reston, Virginia : American Institute of Aeronautics and Astronautics, 2019. http://dx.doi.org/10.2514/6.2019-1142.
Texte intégralJadhav, Sanskruti Deepak, Ameya Salvi, Krishna Chaitanya Kosaraju, Jonathon Smereka, Mark Brudnak, Venkat N. Krovi et David Gorsich. « Containerization Approach for High-Fidelity Terramechanics Simulations ». Dans WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States : SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0105.
Texte intégralGreenberg, Rebecca A., et Jeremy J. Dawkins. « Automated Scene Generation for High Fidelity Robotics Simulations ». Dans ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9635.
Texte intégralRapports d'organisations sur le sujet "High-Fidelity simulations"
Yoon, Su Jong. High Fidelity BWR Fuel Simulations. Office of Scientific and Technical Information (OSTI), août 2016. http://dx.doi.org/10.2172/1364486.
Texte intégralOnunkwo, Uzoma, et Zachary Benz. High Fidelity Simulations of Large-Scale Wireless Networks. Office of Scientific and Technical Information (OSTI), novembre 2015. http://dx.doi.org/10.2172/1226878.
Texte intégralBrady, Peter, Daniel Livescu et Nek Sharan. AI Enhanced Discretizations for High-Fidelity Physics Simulations. Office of Scientific and Technical Information (OSTI), septembre 2021. http://dx.doi.org/10.2172/1821328.
Texte intégralYuan, Haomin, Tri Nguyen, Elia Merzari, Dezhi Dai, Brian Jackson, Nate Salpeter, Ka-Yen Yau, Giacomo Busco et Dillon Shaver. High Fidelity CFD Simulations Supporting the KP-FHR. Office of Scientific and Technical Information (OSTI), mai 2022. http://dx.doi.org/10.2172/2280640.
Texte intégralRutland, Christopher J. Terascale High-Fidelity Simulations of Turbulent Combustion with Detailed Chemistry : Spray Simulations. Office of Scientific and Technical Information (OSTI), avril 2009. http://dx.doi.org/10.2172/951592.
Texte intégralMcCarty, Keven F., Xiaowang Zhou, Donald K. Ward, Peter A. Schultz, Michael E. Foster et Norman Charles Bartelt. Predicting growth of graphene nanostructures using high-fidelity atomistic simulations. Office of Scientific and Technical Information (OSTI), septembre 2015. http://dx.doi.org/10.2172/1221517.
Texte intégralOnunkwo, Uzoma. High Fidelity Simulations of Large-Scale Wireless Networks (Plus-Up). Office of Scientific and Technical Information (OSTI), novembre 2015. http://dx.doi.org/10.2172/1226879.
Texte intégralRaghurama Reddy, Roberto Gomez, Junwoo Lim, Yang Wang et Sergiu Sanielevici. Terascale High-Fidelity Simulations of Turbulent Combustion with Detailed Chemistry. Office of Scientific and Technical Information (OSTI), octobre 2004. http://dx.doi.org/10.2172/834581.
Texte intégralOnunkwo, Uzoma, Robert G. Cole, Anand Ganti, Richard C. Schroeppel, Michael Patrick Scoggin et Brian P. Van Leeuwen. High Fidelity Simulations of Large-Scale Wireless Networks (Part I). Office of Scientific and Technical Information (OSTI), février 2017. http://dx.doi.org/10.2172/1343654.
Texte intégralHong G. Im, Arnaud Trouve, Christopher J. Rutland et Jacqueline H. Chen. Terascale High-Fidelity Simulations of Turbulent Combustion with Detailed Chemistry. Office of Scientific and Technical Information (OSTI), février 2009. http://dx.doi.org/10.2172/946730.
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