Relevant bibliographies by topics / High-Fidelity simulations

Academic literature on the topic 'High-Fidelity simulations'

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Published: 7 September 2024

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Journal articles on the topic "High-Fidelity simulations"

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Lee White, Marjorie, Shawn R. Gilbert, Amber Q. Youngblood, J. Lynn Zinkan, Rachel Martin, and Nancy M. Tofil. "High-Fidelity Simulations for Orthopaedic Residents." Journal of Bone and Joint Surgery-American Volume 95, no. 10 (May 2013): e70-1-4. http://dx.doi.org/10.2106/jbjs.l.00761.

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Garmann, Daniel J., and Miguel R. Visbal. "High-Fidelity Simulations of Afterbody Vortex Flows." AIAA Journal 57, no. 9 (September 2019): 3980–90. http://dx.doi.org/10.2514/1.j058284.

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Chen, Xiaodong, Dongjun Ma, Vigor Yang, and 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.

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Hamilton, Cam, and Ginny Langham. "Low Fidelity Simulations with High Impact Results." Clinical Simulation in Nursing 5, no. 3 (May 2009): S7. http://dx.doi.org/10.1016/j.ecns.2009.03.175.

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Groen, 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 (April 6, 2013): 20120087. http://dx.doi.org/10.1098/rsfs.2012.0087.

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Multiscale simulations are essential in the biomedical domain to accurately model human physiology. We present a modular approach for designing, constructing and executing multiscale simulations on a wide range of resources, from laptops to petascale supercomputers, including combinations of these. Our work features two multiscale applications, in-stent restenosis and cerebrovascular bloodflow, which combine multiple existing single-scale applications to create a multiscale simulation. These applications can be efficiently coupled, deployed and executed on computers up to the largest (peta) scale, incurring a coupling overhead of 1–10% of the total execution time.
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Müller, Maximilian, Malte Woidt, Matthias Haupt, and Peter Horst. "Challenges of Fully-Coupled High-Fidelity Ditching Simulations." Aerospace 6, no. 2 (January 22, 2019): 10. http://dx.doi.org/10.3390/aerospace6020010.

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An important element of the process of aircraft certification is the demonstration of the crashworthiness of the structure in the event of an emergency landing on water, also referred to as ditching. Novel numerical simulation methods, that incorporate the interaction between fluid and structure, open up a promising way to model ditching in full scale. This study focuses on two main issues of high-fidelity ditching simulations: the development of a suitable fluid-structure coupling framework and the generation of the structural model of the aircraft. The first issue is addressed by implementing a partitioned coupling approach, which combines a finite volume hydrodynamic fluid solver as well as a finite element structural solver. The developed framework is validated by means of two ditching-like experiments, which consider the drop test of a rigid cylinder and a deformable cylindrical shell. The results of the validation studies indicate that an alternative to the standard Dirichlet-Neumann partitioning approach is needed if a strong added-mass effect is present. For the full-scale simulation of aircraft ditching, structural models become more complex and have to account for damage. Due to its high localization, the damage creates large differences in model scale and usually entails severe non-linearities in the model. To address the issue of increasing computational effort for such models, the process of developing a multi-scale model for the simulation of the failure of fuselage frames is presented.
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Harrington, Peter, Mustafa Mustafa, Max Dornfest, Benjamin Horowitz, and Zarija Lukić. "Fast, High-fidelity Lyα Forests with Convolutional Neural Networks." Astrophysical Journal 929, no. 2 (April 1, 2022): 160. http://dx.doi.org/10.3847/1538-4357/ac5faa.

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Abstract Full-physics cosmological simulations are powerful tools for studying the formation and evolution of structure in the universe but require extreme computational resources. Here, we train a convolutional neural network to use a cheaper N-body-only simulation to reconstruct the baryon hydrodynamic variables (density, temperature, and velocity) on scales relevant to the Lyα forest, using data from Nyx simulations. We show that our method enables rapid estimation of these fields at a resolution of ∼20 kpc, and captures the statistics of the Lyα forest with much greater accuracy than existing approximations. Because our model is fully convolutional, we can train on smaller simulation boxes and deploy on much larger ones, enabling substantial computational savings. Furthermore, as our method produces an approximation for the hydrodynamic fields instead of Lyα flux directly, it is not limited to a particular choice of ionizing background or mean transmitted flux.
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Harrington, Peter, Mustafa Mustafa, Max Dornfest, Benjamin Horowitz, and Zarija Lukić. "Fast, High-fidelity Lyα Forests with Convolutional Neural Networks." Astrophysical Journal 929, no. 2 (April 1, 2022): 160. http://dx.doi.org/10.3847/1538-4357/ac5faa.

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Abstract Full-physics cosmological simulations are powerful tools for studying the formation and evolution of structure in the universe but require extreme computational resources. Here, we train a convolutional neural network to use a cheaper N-body-only simulation to reconstruct the baryon hydrodynamic variables (density, temperature, and velocity) on scales relevant to the Lyα forest, using data from Nyx simulations. We show that our method enables rapid estimation of these fields at a resolution of ∼20 kpc, and captures the statistics of the Lyα forest with much greater accuracy than existing approximations. Because our model is fully convolutional, we can train on smaller simulation boxes and deploy on much larger ones, enabling substantial computational savings. Furthermore, as our method produces an approximation for the hydrodynamic fields instead of Lyα flux directly, it is not limited to a particular choice of ionizing background or mean transmitted flux.
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Xu, Jie, Si Zhang, Edward Huang, Chun-Hung Chen, Loo Hay Lee, and Nurcin Celik. "MO2TOS: Multi-Fidelity Optimization with Ordinal Transformation and Optimal Sampling." Asia-Pacific Journal of Operational Research 33, no. 03 (June 2016): 1650017. http://dx.doi.org/10.1142/s0217595916500172.

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Simulation optimization can be used to solve many complex optimization problems in automation applications such as job scheduling and inventory control. We propose a new framework to perform efficient simulation optimization when simulation models with different fidelity levels are available. The framework consists of two novel methodologies: ordinal transformation (OT) and optimal sampling (OS). The OT methodology uses the low-fidelity simulations to transform the original solution space into an ordinal space that encapsulates useful information from the low-fidelity model. The OS methodology efficiently uses high-fidelity simulations to sample the transformed space in search of the optimal solution. Through theoretical analysis and numerical experiments, we demonstrate the promising performance of the multi-fidelity optimization with ordinal transformation and optimal sampling (MO2TOS) framework.
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Ranftl, Sascha, Gian Marco Melito, Vahid Badeli, Alice Reinbacher-Köstinger, Katrin Ellermann, and 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 (December 9, 2019): 24. http://dx.doi.org/10.3390/proceedings2019033024.

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Aortic dissection is a cardiovascular disease with a disconcertingly high mortality. When it comes to diagnosis, medical imaging techniques such as Computed Tomography, Magnetic Resonance Tomography or Ultrasound certainly do the job, but also have their shortcomings. Impedance cardiography is a standard method to monitor a patients heart function and circulatory system by injecting electric currents and measuring voltage drops between electrode pairs attached to the human body. If such measurements distinguished healthy from dissected aortas, one could improve clinical procedures. Experiments are quite difficult, and thus we investigate the feasibility with finite element simulations beforehand. In these simulations, we find uncertain input parameters, e.g., the electrical conductivity of blood. Inference on the state of the aorta from impedance measurements defines an inverse problem in which forward uncertainty propagation through the simulation with vanilla Monte Carlo demands a prohibitively large computational effort. To overcome this limitation, we combine two simulations: one simulation with a high fidelity and another simulation with a low fidelity, and low and high computational costs accordingly. We use the inexpensive low-fidelity simulation to learn about the expensive high-fidelity simulation. It all boils down to a regression problem—and reduces total computational cost after all.
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Dissertations / Theses on the topic "High-Fidelity simulations"

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Cetraro, Giampaolo. "High-fidelity flow simulations of electroactive membrane wings." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/416114/.

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This work is inspired by natural flyers such bats and insects. They show outstanding aerodynamic performance due to their flexible membrane wings and their ability to control its stiffness to improve manoeuvrability. In this work the fluid-structure coupling as well as the physics and the control of electroactive membranes have been simulated in a multiphysics framework. This study has allowed not only to have an insight of the flow mechanisms which allow a membrane wing to enhace lift and delay stall at high angles of attack but also lays the basis of the understanding of how an active control of the membrane’s stiffness in response to the unsteadiness of the fluid-structure coupling can deliver a more stable flight. In particular, numerical simulations are conducted for an electroactive membrane wing in a laminar incompressible flow. The fluid-structure interaction problem is simulated for electroactive polymers whose shape and stiffness can be modified by applying an electric potential. The Maxwell stresses generated by the electric field across the membrane produce an in-plane relaxation. Results from this work show that a fixed voltage applied to a prestretched membrane results in an increased camber and therefore enhanced mean lift. Moreover, the effect of a partial activation is considered as well as an oscillating voltage across the membrane. The results presented in this work indicate that the lift is increased at angles of attack up to a = 12 when the back section of the membrane is activated. In addition, lift is increased at higher angles of attack when the voltage oscillates at frequencies close to resonance of the coupled fluid-structure system. Finally, an active control has been simulated exploiting the electromechanical characteristics of electroactive polymers and using the membrane itself as a sensor. This work shows that when the whole surface of the membrane is used as sensor and actuator, a proportional integral control is able to reduce the membrane’s oscillations at medium angles of attack, delivering a more stable flight and smoother response to a gust.
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Garmann, 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.

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Talnikar, 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.

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Thesis: S.M., Massachusetts Institute of Technology, School of Engineering, Center for Computational Engineering, Computation for Design and Optimization Program, 2015.
Cataloged 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.
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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.

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Major, 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.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, 2017.
Cataloged 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.
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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.

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Complex interactions between solid, liquid and gas occur in many practical engineering applications, and are often difficult to quantify experimentally. A few examples include boiling over solid heaters, solidification melt-dynamics in metal casting, and convective cooling of electronic components. With the availability of scalable computational tools, high-fidelity simulations can provide new insight into these phenomena and answer open questions. In the present work, a multiphase solver is presented which can simulate problems involving phase transition over complex geometries. The dynamics of liquid-gas interface are modeled using a level-set technique, which utilizes Ghost Fluid Method (GFM) to account for sharp jump in pressure, velocity, and temperature across the multiphase boundary. The fluid-solid interactions are modeled using an Immersed Boundary Method (IBM) which uses a Moving Least Squared (MLS) reconstruction to calculate fluid-flow around the solid, along with an additional GFM forcing to model its effect on pressure, temperature and Conjugate Heat Transfer (CHT). The resulting three dimensional solver is fully explicit in time and uses a fractional step method for Navier-Stokes, energy, and mass transfer equations. Validation and verification cases are presented to demonstrate the accuracy of the solver in comparison to experimental and analytical problems, and results of high fidelity pool boiling simulations in varying gravity environments are discussed in detail.
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Zhu, 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/.

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Conventional silicon-based electronics have developed dramatically in recent years; however, their optimum integration level is reaching its limits. To meet the requirements of dealing with this explosion of data, opto-electronic integrated circuits have provided a way out. Optical waveguides are crucial components which can be applied in opto-electronic integrated circuits to achieve specific functionalities, such as frequency conversion and frequency combs. Frequency conversion offers the possibility of converting the frequency components generated by lasers to a previously inaccessible frequency region in order to extend the application fields, such as gas sensing and optical communications. A frequency comb is a series of equally spaced frequency components, which could be utilized for frequency standards and optical clocks. This thesis has simulated frequency mixing processes, including second-harmonic generation and four-wave mixing in the optical waveguides based on second- and third-order nonlinearities in order to realize frequency conversion and generation of frequency combs. The focus of this thesis are silicon-based and AlGaAs waveguides because of their particular material characteristics. Silicon is the base of electronic devices so that silicon-based waveguides are complementary metal-oxide-semiconductor compatible and can be integrated with other electronic elements on a single chip. AlGaAs is a direct-band gap semi-conductor and has a small two-photon-absorption co-efficient. Both silicon and AlGaAs have a high refractive index and ensure the confinement of modes in waveguides. In addition, both have strong nonlinearity, leading to efficient nonlinear interactions and significant frequency mixing processes. This method of simulation was based on the finite-difference time-domain algorithm, incorporating linear dispersion and nonlinearity. Material dispersion was described as Lorentz medium and incorporated through Sellmeier equations. Geometric dispersion was taken into account in mode solver, which was applied in order to produce the fundamental modes for excitation sources. Second- and third-order nonlinearities (including Kerr-nonlinearity and Raman scattering) were incorporated with a piecewise linear recursive convolution method, which was solved by the Newton-Raphson method. In addition, a perfectly matched layer absorbing boundary condition and circular boundary condition were designed in the simulations. Programs were written in Fortran 95 and parallel computation was applied to improve the efficiency. This thesis has simulated four-wave mixing of five optical waveguides: GaAs suspended waveguide, deep-etched multi-layer Al_0.25 Ga_0.75 As waveguide, Al_0.3 Ga_0.7 As-on-insulator waveguide, silicon-on-insulator waveguide and silicon nitride-on-insulator waveguide. Phase matching conditions and phase mismatch factors were discussed for these waveguides. The results of four-wave mixing were observed when the phase matching conditions were satisfied. In deep-etched multi-layer Al_0.25 Ga_0.75 As waveguide, Raman scattering was incorporated and the results of simulation showed a good match with experimental data. This thesis has also simulated second-harmonic generation of highly birefringent AlGaAs waveguide. Type-I phase matching condition was achieved so that efficient second-harmonic generation was obtained.
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Carroll, 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.

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Many 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.

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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.

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We study noise from wind turbines while taking irregular terrain and non-constant atmosphere into consideration. We will show that simulating the distribution of 3D acoustic waves can be done by using only low frequencies, thus reducing the computational complexity significantly.
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Christen, 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.

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Books on the topic "High-Fidelity simulations"

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Center, NASA Glenn Research, ed. 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.

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Center, NASA Glenn Research, ed. 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.

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Center, NASA Glenn Research, ed. 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.

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Veres, 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.

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United States. National Aeronautics and Space Administration., ed. OVERVIEW OF HIGH-FIDELITY MODELING ACTIVITIES IN THE NUMERICAL PROPULSION SYSTEM SIMULATIONS (NPSS) PROJECT... NASA/TM--2002-211351... NATIO. [S.l: s.n., 2003.

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1941-, Lashley Felissa R., ed. High-fidelity patient simulation in nursing education. Sudbury, Mass: Jones and Bartlett Publishers, 2010.

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Center, Ames Research, ed. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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Ballin, Mark G. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: Ames Research Center, 1988.

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Center, Ames Research, ed. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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Center, Ames Research, ed. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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Book chapters on the topic "High-Fidelity simulations"

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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.

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Zhou, Hang, Josh McConnell, Terry A. Ring, and 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.

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Traxinger, Christoph, Julian Zips, Christian Stemmer, and 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.

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Abstract The design and development of future rocket engines severely relies on accurate, efficient and robust numerical tools. Large-Eddy Simulation in combination with high-fidelity thermodynamics and combustion models is a promising candidate for the accurate prediction of the flow field and the investigation and understanding of the on-going processes during mixing and combustion. In the present work, a numerical framework is presented capable of predicting real-gas behavior and nonadiabatic combustion under conditions typically encountered in liquid rocket engines. Results of Large-Eddy Simulations are compared to experimental investigations. Overall, a good agreement is found making the introduced numerical tool suitable for the high-fidelity investigation of high-pressure mixing and combustion.
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Moin, 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.

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Goodin, Chris, Phillip J. Durst, Burhman Gates, Chris Cummins, and 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.

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Probst, Axel, Tobias Knopp, Cornelia Grabe, and 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.

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Wiri, Suthee, Thomas Wofford, Troy Dent, and 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.

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Navrátil, 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.

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Braithwaite, 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.

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Panagiotaki, Eleftheria, Matt G. Hall, Hui Zhang, Bernard Siow, Mark F. Lythgoe, and 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.

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Conference papers on the topic "High-Fidelity simulations"

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Perez, David, Patricia Diaz, Anthony Sanguinetti, and 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.

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Transition from hover to forward flight and vice versa represents the most critical flight phase of tiltwing aircraft. Despite its importance to ensure a safe operation, the aerodynamics of this maneuver are not sufficiently understood. This paper focuses on the study of transition flight for NASA's six-passenger tiltwing air taxi by means of high-fidelity computational fluid dynamics simulations. On the basis of a static trim solution, four points within the transition corridor are analyzed: transition mode at wing tilt angles of 60! and 44!, and airplane mode at airspeeds of 110 kt and 155 kt. We investigate the balance of forces and moments for rotor-borne and wing-borne regimes, and how rotor-on-rotor and rotor-on-wing interactions affect performance. The simulations indicate that during the early stages of transition, the vortices remain in close proximity to the proprotors, inducing large fluctuations on the order of the mean blade loading. Additionally, the blowing and swirling effects of the proprotor wakes delay flow separation over a portion of the wing. The mid-transition conditions appear to be critical, with extensive regions of separated flow over the wing. In airplane mode, proprotor-wing slipstream effects can be exploited to enhance lift generation. The results of this paper contribute to a deeper understanding of the complex aerodynamic interactions during transition flight to enable a safer and more efficient operation of tiltwing aircraft.
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Boychev, Kiril, George N. Barakos, Rene Steijl, and 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.

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Cetraro, Giampaolo, and 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.

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Barnes, Caleb, and 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.

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O'Brien, Sean G., John C. Giever, and Steven J. McGee. "BEAMS cloud model for high-fidelity simulations." In Aerospace/Defense Sensing and Controls, edited by Nickolas L. Faust. SPIE, 1996. http://dx.doi.org/10.1117/12.242977.

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Athavale, M. M., and 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.

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Barnes, Caleb, and 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.

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Garmann, Daniel J., and 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.

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Jadhav, Sanskruti Deepak, Ameya Salvi, Krishna Chaitanya Kosaraju, Jonathon Smereka, Mark Brudnak, Venkat N. Krovi, and 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.

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<div class="section abstract"><div class="htmlview paragraph">Integrated modeling of vehicle, tire and terrain is a fundamental challenge to be addressed for off-road autonomous navigation. The complexities arise due to lack of tools and techniques to predict the continuously varying terrain and environmental conditions and the resultant non-linearities. The solution to this challenge can now be found in the plethora of data driven modeling and control techniques that have gained traction in the last decade. Data driven modeling and control techniques rely on the system’s repeated interaction with the environment to generate a lot of data and then use a function approximator to fit a model for the physical system with the data. Getting good quality and quantity of data may involve extensive experimentation with the physical system impacting developer’s resource. The process is computationally expensive, and the overhead time required is high.</div><div class="htmlview paragraph">High-fidelity simulators coupled with cloud-based containers can help ease the challenge of data ‘quality’ and ‘quantity’. Project Chrono is a multi-physics simulation engine that provides high-fidelity simulation capabilities with emphasis on flow and terrain modeling. With a host of libraries and APIs for industry accepted tools like MATLAB, Simulink and TensorFlow, Project Chrono proves to be a powerful research bed for data-driven modeling and control development for off-road navigation. Containers are lightweight virtual machines that take away repetitive configurations by setting up a computational environment, including all necessary dependencies and libraries. Docker encapsulates an end-to-end platform solution for heavy computation challenges of deep learning applications and allows fast development and testing. The synergy between the high-fidelity simulator and the compute outsourcing capabilities of cloud-based containers proves to be extremely beneficial for continuous integration and continuous deployment (CI/CD) for data driven modeling and control tasks. In the following work, we containerize a high-fidelity simulator (Project Chrono) to develop and validate data driven modeling and control algorithms for off-road autonomous navigation.</div></div>
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Greenberg, Rebecca A., and 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.

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This paper presents a methodology for automatically generating a scene to be used in high fidelity robotic simulators. Modeling and simulation play an important role in the development and testing of robotic motion planning algorithms. Virtual Robotic Experimentation Platform (V-REP) is a robotic simulator that can be used to test state of the art robotics algorithms in environments called scenes. V-REP contains a remote application programming interface (API) for Matlab that allows for control of the simulation from the external application. Using this functionality, an algorithm was developed to automatically create simulation environments. Given the dimensions of the space, the desired total number of rooms, and a room configuration type, the algorithm organizes the layout of the space into a set of rooms and hallways. Using the remote capabilities provided by the Matlab V-REP API, the scene is opened, each of the models is loaded, and the models are put into the appropriate location. The result is a saved V-REP scene file that can be used for testing of any relevant mobile robotic applications. Ultimately this tool can play an important role in running parametric studies and Monte Carlo simulations to test the performance of various motion planning and coordination algorithms.
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Reports on the topic "High-Fidelity simulations"

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Yoon, Su Jong. High Fidelity BWR Fuel Simulations. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1364486.

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Onunkwo, Uzoma, and 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.

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Brady, Peter, Daniel Livescu, and 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.

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Yuan, Haomin, Tri Nguyen, Elia Merzari, Dezhi Dai, Brian Jackson, Nate Salpeter, Ka-Yen Yau, Giacomo Busco, and Dillon Shaver. High Fidelity CFD Simulations Supporting the KP-FHR. Office of Scientific and Technical Information (OSTI), May 2022. http://dx.doi.org/10.2172/2280640.

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Rutland, 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.

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McCarty, Keven F., Xiaowang Zhou, Donald K. Ward, Peter A. Schultz, Michael E. Foster, and 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.

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Onunkwo, 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.

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Raghurama Reddy, Roberto Gomez, Junwoo Lim, Yang Wang, and Sergiu Sanielevici. Terascale High-Fidelity Simulations of Turbulent Combustion with Detailed Chemistry. Office of Scientific and Technical Information (OSTI), October 2004. http://dx.doi.org/10.2172/834581.

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Onunkwo, Uzoma, Robert G. Cole, Anand Ganti, Richard C. Schroeppel, Michael Patrick Scoggin, and Brian P. Van Leeuwen. High Fidelity Simulations of Large-Scale Wireless Networks (Part I). Office of Scientific and Technical Information (OSTI), February 2017. http://dx.doi.org/10.2172/1343654.

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Hong G. Im, Arnaud Trouve, Christopher J. Rutland, and Jacqueline H. Chen. Terascale High-Fidelity Simulations of Turbulent Combustion with Detailed Chemistry. Office of Scientific and Technical Information (OSTI), February 2009. http://dx.doi.org/10.2172/946730.

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