Auswahl der wissenschaftlichen Literatur zum Thema „High-Fidelity simulations“
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Zeitschriftenartikel zum Thema "High-Fidelity simulations"
Lee White, Marjorie, Shawn R. Gilbert, Amber Q. Youngblood, J. Lynn Zinkan, Rachel Martin und Nancy M. Tofil. „High-Fidelity Simulations for Orthopaedic Residents“. Journal of Bone and Joint Surgery-American Volume 95, Nr. 10 (Mai 2013): e70-1-4. http://dx.doi.org/10.2106/jbjs.l.00761.
Der volle Inhalt der QuelleGarmann, Daniel J., und Miguel R. Visbal. „High-Fidelity Simulations of Afterbody Vortex Flows“. AIAA Journal 57, Nr. 9 (September 2019): 3980–90. http://dx.doi.org/10.2514/1.j058284.
Der volle Inhalt der QuelleChen, Xiaodong, Dongjun Ma, Vigor Yang und Stephane Popinet. „HIGH-FIDELITY SIMULATIONS OF IMPINGING JET ATOMIZATION“. Atomization and Sprays 23, Nr. 12 (2013): 1079–101. http://dx.doi.org/10.1615/atomizspr.2013007619.
Der volle Inhalt der QuelleHamilton, Cam, und Ginny Langham. „Low Fidelity Simulations with High Impact Results“. Clinical Simulation in Nursing 5, Nr. 3 (Mai 2009): S7. http://dx.doi.org/10.1016/j.ecns.2009.03.175.
Der volle Inhalt der QuelleGroen, 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, Nr. 2 (06.04.2013): 20120087. http://dx.doi.org/10.1098/rsfs.2012.0087.
Der volle Inhalt der QuelleMüller, Maximilian, Malte Woidt, Matthias Haupt und Peter Horst. „Challenges of Fully-Coupled High-Fidelity Ditching Simulations“. Aerospace 6, Nr. 2 (22.01.2019): 10. http://dx.doi.org/10.3390/aerospace6020010.
Der volle Inhalt der QuelleHarrington, Peter, Mustafa Mustafa, Max Dornfest, Benjamin Horowitz und Zarija Lukić. „Fast, High-fidelity Lyα Forests with Convolutional Neural Networks“. Astrophysical Journal 929, Nr. 2 (01.04.2022): 160. http://dx.doi.org/10.3847/1538-4357/ac5faa.
Der volle Inhalt der QuelleHarrington, Peter, Mustafa Mustafa, Max Dornfest, Benjamin Horowitz und Zarija Lukić. „Fast, High-fidelity Lyα Forests with Convolutional Neural Networks“. Astrophysical Journal 929, Nr. 2 (01.04.2022): 160. http://dx.doi.org/10.3847/1538-4357/ac5faa.
Der volle Inhalt der QuelleXu, Jie, Si Zhang, Edward Huang, Chun-Hung Chen, Loo Hay Lee und Nurcin Celik. „MO2TOS: Multi-Fidelity Optimization with Ordinal Transformation and Optimal Sampling“. Asia-Pacific Journal of Operational Research 33, Nr. 03 (Juni 2016): 1650017. http://dx.doi.org/10.1142/s0217595916500172.
Der volle Inhalt der QuelleRanftl, Sascha, Gian Marco Melito, Vahid Badeli, Alice Reinbacher-Köstinger, Katrin Ellermann und 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, Nr. 1 (09.12.2019): 24. http://dx.doi.org/10.3390/proceedings2019033024.
Der volle Inhalt der QuelleDissertationen zum Thema "High-Fidelity simulations"
Cetraro, Giampaolo. „High-fidelity flow simulations of electroactive membrane wings“. Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/416114/.
Der volle Inhalt der QuelleGarmann, 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.
Der volle Inhalt der QuelleTalnikar, 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.
Der volle Inhalt der QuelleCataloged 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.
Der volle Inhalt der QuelleMajor, 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.
Der volle Inhalt der QuelleCataloged 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.
Der volle Inhalt der QuelleZhu, 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/.
Der volle Inhalt der QuelleCarroll, 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.
Der volle Inhalt der QuelleMany 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.
Der volle Inhalt der QuelleChristen, 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.
Der volle Inhalt der QuelleBücher zum Thema "High-Fidelity simulations"
Center, NASA Glenn Research, Hrsg. 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.
Den vollen Inhalt der Quelle findenCenter, NASA Glenn Research, Hrsg. 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.
Den vollen Inhalt der Quelle findenCenter, NASA Glenn Research, Hrsg. 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.
Den vollen Inhalt der Quelle findenVeres, 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.
Den vollen Inhalt der Quelle findenUnited States. National Aeronautics and Space Administration., Hrsg. OVERVIEW OF HIGH-FIDELITY MODELING ACTIVITIES IN THE NUMERICAL PROPULSION SYSTEM SIMULATIONS (NPSS) PROJECT... NASA/TM--2002-211351... NATIO. [S.l: s.n., 2003.
Den vollen Inhalt der Quelle finden1941-, Lashley Felissa R., Hrsg. High-fidelity patient simulation in nursing education. Sudbury, Mass: Jones and Bartlett Publishers, 2010.
Den vollen Inhalt der Quelle findenCenter, Ames Research, Hrsg. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.
Den vollen Inhalt der Quelle findenBallin, Mark G. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: Ames Research Center, 1988.
Den vollen Inhalt der Quelle findenCenter, Ames Research, Hrsg. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.
Den vollen Inhalt der Quelle findenCenter, Ames Research, Hrsg. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "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“. In 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.
Der volle Inhalt der QuelleZhou, Hang, Josh McConnell, Terry A. Ring und James C. Sutherland. „Insights of MILD Combustion from High-Fidelity Simulations“. In Clean Coal and Sustainable Energy, 59–81. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1657-0_5.
Der volle Inhalt der QuelleTraxinger, Christoph, Julian Zips, Christian Stemmer und Michael Pfitzner. „Numerical Investigation of Injection, Mixing and Combustion in Rocket Engines Under High-Pressure Conditions“. In 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.
Der volle Inhalt der QuelleMoin, Parviz. „Application of High Fidelity Numerical Simulations for Vehicle Aerodynamics“. In 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.
Der volle Inhalt der QuelleGoodin, Chris, Phillip J. Durst, Burhman Gates, Chris Cummins und Jody Priddy. „High Fidelity Sensor Simulations for the Virtual Autonomous Navigation Environment“. In 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.
Der volle Inhalt der QuelleProbst, Axel, Tobias Knopp, Cornelia Grabe und Jens Jägersküpper. „HPC Requirements of High-Fidelity Flow Simulations for Aerodynamic Applications“. In 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.
Der volle Inhalt der QuelleWiri, Suthee, Thomas Wofford, Troy Dent und Charles Needham. „Reconstruction of Recoilless Weapon Blast Environments Using High-Fidelity Simulations“. In 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.
Der volle Inhalt der QuelleNavrátil, Jan. „High-Fidelity Static Aeroelastic Simulations of the Common Research Model“. In Flexible Engineering Toward Green Aircraft, 49–70. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36514-1_4.
Der volle Inhalt der QuelleBraithwaite, Graham. „The Use of High-Fidelity Simulations in Emergency Management Training“. In Forensic Science Education and Training, 235–52. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118689196.ch15.
Der volle Inhalt der QuellePanagiotaki, Eleftheria, Matt G. Hall, Hui Zhang, Bernard Siow, Mark F. Lythgoe und Daniel C. Alexander. „High-Fidelity Meshes from Tissue Samples for Diffusion MRI Simulations“. In 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "High-Fidelity simulations"
Perez, David, Patricia Diaz, Anthony Sanguinetti und Seokkwan Yoon. „Tiltwing Transition Flight Analysis Using High-Fidelity CFD“. In 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.
Der volle Inhalt der QuelleBoychev, Kiril, George N. Barakos, Rene Steijl und Scott Shaw. „High fidelity simulations of supersonic intakes“. In AIAA Scitech 2020 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2020. http://dx.doi.org/10.2514/6.2020-2092.
Der volle Inhalt der QuelleCetraro, Giampaolo, und Richard D. Sandberg. „High fidelity simulations of electroactive membrane wings“. In 53rd AIAA Aerospace Sciences Meeting. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-1301.
Der volle Inhalt der QuelleBarnes, Caleb, und Miguel Visbal. „High-Fidelity Simulations of a Corrugated Airfoil“. In 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.
Der volle Inhalt der QuelleO'Brien, Sean G., John C. Giever und Steven J. McGee. „BEAMS cloud model for high-fidelity simulations“. In Aerospace/Defense Sensing and Controls, herausgegeben von Nickolas L. Faust. SPIE, 1996. http://dx.doi.org/10.1117/12.242977.
Der volle Inhalt der QuelleAthavale, M. M., und A. J. Przekwas. „High-Fidelity CFD Simulations of Microfluidic Devices“. In 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.
Der volle Inhalt der QuelleBarnes, Caleb, und Miguel Visbal. „High-Fidelity Simulations of a Hovering Wing“. In 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.
Der volle Inhalt der QuelleGarmann, Daniel J., und Miguel R. Visbal. „High-Fidelity Simulations of Afterbody Vortex Flows“. In AIAA Scitech 2019 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2019. http://dx.doi.org/10.2514/6.2019-1142.
Der volle Inhalt der QuelleJadhav, Sanskruti Deepak, Ameya Salvi, Krishna Chaitanya Kosaraju, Jonathon Smereka, Mark Brudnak, Venkat N. Krovi und David Gorsich. „Containerization Approach for High-Fidelity Terramechanics Simulations“. In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0105.
Der volle Inhalt der QuelleGreenberg, Rebecca A., und Jeremy J. Dawkins. „Automated Scene Generation for High Fidelity Robotics Simulations“. In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9635.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "High-Fidelity simulations"
Yoon, Su Jong. High Fidelity BWR Fuel Simulations. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1364486.
Der volle Inhalt der QuelleOnunkwo, Uzoma, und Zachary Benz. High Fidelity Simulations of Large-Scale Wireless Networks. Office of Scientific and Technical Information (OSTI), November 2015. http://dx.doi.org/10.2172/1226878.
Der volle Inhalt der QuelleBrady, Peter, Daniel Livescu und Nek Sharan. AI Enhanced Discretizations for High-Fidelity Physics Simulations. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1821328.
Der volle Inhalt der QuelleYuan, Haomin, Tri Nguyen, Elia Merzari, Dezhi Dai, Brian Jackson, Nate Salpeter, Ka-Yen Yau, Giacomo Busco und 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.
Der volle Inhalt der QuelleRutland, Christopher J. Terascale High-Fidelity Simulations of Turbulent Combustion with Detailed Chemistry: Spray Simulations. Office of Scientific and Technical Information (OSTI), April 2009. http://dx.doi.org/10.2172/951592.
Der volle Inhalt der QuelleMcCarty, Keven F., Xiaowang Zhou, Donald K. Ward, Peter A. Schultz, Michael E. Foster und Norman Charles Bartelt. Predicting growth of graphene nanostructures using high-fidelity atomistic simulations. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1221517.
Der volle Inhalt der QuelleOnunkwo, Uzoma. High Fidelity Simulations of Large-Scale Wireless Networks (Plus-Up). Office of Scientific and Technical Information (OSTI), November 2015. http://dx.doi.org/10.2172/1226879.
Der volle Inhalt der QuelleRaghurama Reddy, Roberto Gomez, Junwoo Lim, Yang Wang und Sergiu Sanielevici. Terascale High-Fidelity Simulations of Turbulent Combustion with Detailed Chemistry. Office of Scientific and Technical Information (OSTI), Oktober 2004. http://dx.doi.org/10.2172/834581.
Der volle Inhalt der QuelleOnunkwo, Uzoma, Robert G. Cole, Anand Ganti, Richard C. Schroeppel, Michael Patrick Scoggin und Brian P. Van Leeuwen. High Fidelity Simulations of Large-Scale Wireless Networks (Part I). Office of Scientific and Technical Information (OSTI), Februar 2017. http://dx.doi.org/10.2172/1343654.
Der volle Inhalt der QuelleHong G. Im, Arnaud Trouve, Christopher J. Rutland und Jacqueline H. Chen. Terascale High-Fidelity Simulations of Turbulent Combustion with Detailed Chemistry. Office of Scientific and Technical Information (OSTI), Februar 2009. http://dx.doi.org/10.2172/946730.
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