Academic literature on the topic 'Aerospace engineering – Simulation methods'
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Journal articles on the topic "Aerospace engineering – Simulation methods"
Dai, Honghua, and Xiaokui Yue. "Preface: Nonlinear Computational and Control Methods in Aerospace Engineering." Computer Modeling in Engineering & Sciences 122, no. 1 (2020): 1–4. http://dx.doi.org/10.32604/cmes.2020.09126.
Full textHeinz, Stefan, Joachim Peinke, and Bernhard Stoevesandt. "Cutting-Edge Turbulence Simulation Methods for Wind Energy and Aerospace Problems." Fluids 6, no. 8 (August 16, 2021): 288. http://dx.doi.org/10.3390/fluids6080288.
Full textPerfect, P., M. D. White, G. D. Padfield, and A. W. Gubbels. "Rotorcraft simulation fidelity: new methods for quantification and assessment." Aeronautical Journal 117, no. 1189 (March 2013): 235–82. http://dx.doi.org/10.1017/s0001924000007983.
Full textShi, Renhe, Teng Long, Nianhui Ye, Yufei Wu, Zhao Wei, and Zhenyu Liu. "Metamodel-based multidisciplinary design optimization methods for aerospace system." Astrodynamics 5, no. 3 (September 2021): 185–215. http://dx.doi.org/10.1007/s42064-021-0109-x.
Full textBieniek, D., R. Luckner, I. De Visscher, and G. Winckelmans. "Simulation Methods for Aircraft Encounters with Deformed Wake Vortices." Journal of Aircraft 53, no. 6 (November 2016): 1581–96. http://dx.doi.org/10.2514/1.c033790.
Full textSun, Fuyu, Hua Wang, and Jianping Zhou. "Research and development techniques for early-warning satellite systems using concurrent engineering." Concurrent Engineering 26, no. 3 (April 23, 2018): 215–30. http://dx.doi.org/10.1177/1063293x18768668.
Full textAlbinsson, Anton, Fredrik Bruzelius, Bengt Jacobson, and Shenhai Ran. "Validation of vehicle-based tyre testing methods." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 1 (June 20, 2018): 18–27. http://dx.doi.org/10.1177/0954407018777581.
Full textHuang, Shizhuo, Qian Chen, Yuwei Cheng, Jinyu Xian, and Zhengqi Tai. "Supersonic Combustion Modeling and Simulation on General Platforms." Aerospace 9, no. 7 (July 7, 2022): 366. http://dx.doi.org/10.3390/aerospace9070366.
Full textCao, Yihua, Kungang Yuan, and Xiaoyong Li. "Computational Methods for Simulation of Flow Around Helicopter Engine Inlet." Journal of Aircraft 43, no. 1 (January 2006): 141–46. http://dx.doi.org/10.2514/1.14679.
Full textYoh, Jack J., and Xiaolin Zhong. "New Hybrid Runge-Kutta Methods for Unsteady Reactive Flow Simulation." AIAA Journal 42, no. 8 (August 2004): 1593–600. http://dx.doi.org/10.2514/1.3843.
Full textDissertations / Theses on the topic "Aerospace engineering – Simulation methods"
Boles, John Arthur. "Hybrid Large-Eddy Simulation/Reynolds-Averaged Navier-Stokes Methods and Predictions for Various High-Speed Flows." NCSU, 2009. http://www.lib.ncsu.edu/theses/available/etd-08122009-170842/.
Full textButler, William M. "The Impact of Simulation-Based Learning in Aircraft Design on Aerospace Student Preparedness for Engineering Practice: A Mixed Methods Approach." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/27601.
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Adams, Ryan, and s200866s@student rmit edu au. "Evaluation of computerised methods of design optimisation and its application to engineering practice." RMIT University. Aerospace, Mechanical and Manufacturing Engineering, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20070130.122013.
Full textTaha, Wael. "Simulation of unsteady 3-D viscous compressible propeller flow by finite element method." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=80145.
Full textSenneberg, Sofia. "Methods for validating a flight mechanical simulation model for dynamic maneuvering." Thesis, KTH, Flygdynamik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299412.
Full textFlygmekaniska simulatorer är av stor betydelse under utvecklingen av ett nytt stridsflygplan. Möjligheten att simulera och utvärdera under tidens gång har stor betydelse både ur tid- och kostnadsbesparings perspektiv men även ur flygsäkerhetsperspektiv när det är dags för första flygning. Syftet med det här projektet är att utveckla en metod för jämförelse mellan simulering och flygprov för att validera hur bra den flygmekaniska simulatorn kan förutspå flygplansbeteende. En viktig del i projektet syftar till hur skillnader i resultaten kan hittas och analyseras, till exempel skillnader mellan olika flygplansindivider eller lastkonfigurationer. Arbetet presenterat här har resulterat i en modell som är bra för jämförelse av en stor mängd data där det är enkelt att spåra var skillnaderna har uppstått.
Papp, John Laszlo. "SIMULATION OF TURBULENT SUPERSONIC SEPARATED BASE FLOWS USING ENHANCED TURBULENCE MODELING TECHNIQUES WITH APPLICATION TO AN X-33 AEROSPIKE ROCKET NOZZLE SYSTEM." University of Cincinnati / OhioLINK, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=ucin962118912.
Full textSuksila, Thada. "The cathode plasma simulation." Thesis, University of Southern California, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3704256.
Full textSince its invention at the University of Stuttgart, Germany in the mid-1960, scientists have been trying to understand and explain the mechanism of the plasma interaction inside the magnetoplasmadynamics (MPD) thruster. Because this thruster creates a larger level of efficiency than combustion thrusters, this MPD thruster is the primary cadidate thruster for a long duration (planetary) spacecraft. However, the complexity of this thruster make it difficult to fully understand the plasma interaction in an MPD thruster while operating the device. That is, there is a great deal of physics involved: the fluid dynamics, the electromagnetics, the plasma dynamics, and the thermodynamics. All of these physics must be included when an MPD thruster operates.
In recent years, a computer simulation helped scientists to simulate the experiments by programing the physics theories and comparing the simulation results with the experimental data. Many MPD thruster simulations have been conducted: E. Niewood et al.[5], C. K. J. Hulston et al.[6], K. D. Goodfellow[3], J Rossignol et al.[7]. All of these MPD computer simulations helped the scientists to see how quickly the system responds to the new design parameters.
For this work, a 1D MPD thruster simulation was developed to find the voltage drop between the cathode and the plasma regions. Also, the properties such as thermal conductivity, electrical conductivity and heat capacity are temperature and pressure dependent. These two conductivity and heat capacity are usually definded as constant values in many other models. However, this 1D and 2D cylindrical symmetry MPD thruster simulations include both temperature and pressure effects to the electrical, thermal conductivities and heat capacity values interpolated from W. F. Ahtye [4]. Eventhough, the pressure effect is also significant; however, in this study the pressure at 66 Pa was set as a baseline.
The 1D MPD thruster simulation includes the sheath region, which is the interface between the plasma and the cathode regions. This sheath model [3] has been fully combined in the 1D simulation. That is, the sheath model calculates the heat flux and the sheath voltage by giving the temperature and the current density. This sheath model must be included in the simulation, as the sheath region is treated differently from the main plasma region.
For our 2D cylindrical symmetry simulation, the dimensions of the cathode, the anode, the total current, the pressure, the type of gases, the work function can be changed in the input process as needed for particular interested. Also, the sheath model is still included and fully integrated in this 2D cylindrical symmetry simulation at the cathode surface grids. In addition, the focus of the 2D cylindrical symmetry simulation is to connect the properties on the plasma and the cathode regions on the cathode surface until the MPD thruster reach steady state and estimate the plasma arc attachement edge, electroarc edge, on the cathode surface. Finally, we can understand more about the behavior of an MPD thruster under many different conditions of 2D cylindrical symmetry MPD thruster simulations.
Kalaver, Satchidanand Anil. "Management of reference frames in simulation and its application to error reduction in numerical integration." Thesis, Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/12406.
Full textLi, Yuwen. "Dynamics modeling and simulation of flexible airships." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=18756.
Full textL'intérêt renouvelé envers les dirigeables a créé un besoin de modèles dynamique et de simulations de ces véhicules plus légers que l'air. Cette thèse traite d'un cadre théorique qui intègre la dynamique de vol, la dynamique structurale, l'aérostatique et l'aérodynamique des dirigeables flexibles. La recherche débute par une étude d'un modèle dynamique fondé sur l'hypothèse d'un corps rigide. Une approche de calcul d'aérodynamique complète est présentée, où les forces et les moments aérodynamiques sont classés par catégories basées sur différents effets physiques. Une série d'approches de prédiction des différents effets aérodynamiques est unifiée et appliqué aux dirigeables. Les résultats numériques des dérivés aérodynamiques et des réponses simulées à des commandes spécifiés sont comparés à des résultats d'essais provenant d'autre œuvres. Une fois l'aérodynamique et le modèle de corps rigide validés, les équations de mouvement d'un dirigeable élastique sont dérivées avec une formulation Lagrangienne. Le dirigeable est modélisé comme poutre Euler-Bernoulli et les déformations sont représentées par des fonctions de forme choisies. Afin de prendre en considération la dépendance entre les forces aérodynamiques et l'élasticité structurale, la vitesse locale sur le véhicule déformé est employée dans le calcul des forces aérodynamiques. En conclusion, avec les forces d'inertie, de gravité, d'aérodynamique et de commande incorporées, le modèle dynamique d'un dirigeable flexible est exprimé sous la forme d'un ensemble d'équations différentielles ordinaires non-linéaires. Le modèle proposé est mis en pratique sous forme de simulation dynamique afin d'analyser les caractéristiques dynamiques du dirigeable Skyship-500. Des résultats de simulation sont présentés pour démontrer l'influence de la déformation structurale sur les forces aérodynamiques et le comportement dynamique du di
Buettner, Robert W. "Dynamic Modeling and Simulation of a Variable Cycle Turbofan Engine with Controls." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1496179248257409.
Full textBooks on the topic "Aerospace engineering – Simulation methods"
service), SpringerLink (Online, ed. Simulating Spacecraft Systems. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.
Find full textK, Remple Robert, ed. Aircraft and rotorcraft system identification: Engineering methods with flight-test examples aircraft and rotorcraft system identification engineering methods with flight-test examples. Reston, VA: American Institute of Aeronautics and Astronautics, 2006.
Find full textInternational Mechanical Engineering Congress and Exposition (2008 Boston, Mass.). Proceedings of the ASME International Mechanical Engineering Congress and Exposition--2008: Presented at 2008 ASME International Mechanical Engineering Congress and Exposition, October 31-November 6, 2008, Boston, Massachusetts, USA. New York: ASME, 2009.
Find full textInternational Mechanical Engineering Congress and Exposition (2008 Boston, Mass.). Proceedings of the ASME International Mechanical Engineering Congress and Exposition--2008: Presented at 2008 ASME International Mechanical Engineering Congress and Exposition, October 31-November 6, 2008, Boston, Massachusetts, USA. New York: ASME, 2009.
Find full textColo.) International Mechanical Engineering Congress and Exposition (2011 Denver. Proceedings of the ASME International Mechanical Engineering Congress and Exposition--2011: Presented at ASME 2011 International Mechanical Engineering Congress and Exposition, November 11-17, 2011, Denver, Colorado. New York, N.Y: ASME, 2012.
Find full textInternational, Mechanical Engineering Congress and Exposition (2008 Boston Mass ). Proceedings of the ASME International Mechanical Engineering Congress and Exposition--2008: Presented at 2008 ASME International Mechanical Engineering Congress and Exposition, October 31-November 6, 2008, Boston, Massachusetts, USA. New York: ASME, 2009.
Find full textInternational Mechanical Engineering Congress and Exposition (2008 Boston, Mass.). Proceedings of the ASME International Mechanical Engineering Congress and Exposition--2008: Presented at 2008 ASME International Mechanical Engineering Congress and Exposition, October 31-November 6, 2008, Boston, Massachusetts, USA. New York: ASME, 2009.
Find full textInternational Mechanical Engineering Congress and Exposition (2008 Boston, Mass.). Proceedings of the ASME International Mechanical Engineering Congress and Exposition--2008: Presented at 2008 ASME International Mechanical Engineering Congress and Exposition, October 31-November 6, 2008, Boston, Massachusetts, USA. New York: ASME, 2009.
Find full textInternational, Mechanical Engineering Congress and Exposition (2008 Boston Mass ). Proceedings of the ASME International Mechanical Engineering Congress and Exposition--2008: Presented at 2008 ASME International Mechanical Engineering Congress and Exposition, October 31-November 6, 2008, Boston, Massachusetts, USA. New York: ASME, 2009.
Find full textInternational Mechanical Engineering Congress and Exposition (2008 Boston, Mass.). Proceedings of the ASME International Mechanical Engineering Congress and Exposition--2008: Presented at 2008 ASME International Mechanical Engineering Congress and Exposition, October 31-November 6, 2008, Boston, Massachusetts, USA. New York: ASME, 2009.
Find full textBook chapters on the topic "Aerospace engineering – Simulation methods"
Shan, Chen, and Sun Ji-yin. "Simulation Method Research of Ground Target IR Scene Based on Aerospace Information." In Lecture Notes in Electrical Engineering, 101–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14350-2_13.
Full textTao, Qitian, Hailiang Jin, and Xiaohua Liu. "Computational Method in the Throughflow Simulation of Aeroengine Compressor." In Proceedings of the International Conference on Aerospace System Science and Engineering 2020, 345–58. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6060-0_24.
Full textMüller, Mark, and Dietmar Pfahl. "Simulation Methods." In Guide to Advanced Empirical Software Engineering, 117–52. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-044-5_5.
Full textCipolla, Vittorio, and Fabrizio Oliviero. "HyPSim: A Simulation Tool for Hybrid Aircraft Performance Analysis." In Variational Analysis and Aerospace Engineering, 95–116. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45680-5_4.
Full textRauh, Andreas, and Eberhard P. Hofer. "Interval Methods for Optimal Control." In Variational Analysis and Aerospace Engineering, 397–418. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-95857-6_22.
Full textCakmakci, Melih, Gullu Kiziltas Sendur, and Umut Durak. "Simulation-Based Engineering." In Simulation Foundations, Methods and Applications, 39–73. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61264-5_3.
Full textTeofilatto, Paolo, and Mauro Pontani. "Numerical and Analytical Methods for Global Optimization." In Variational Analysis and Aerospace Engineering, 461–75. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-95857-6_25.
Full textFormaggia, Luca, Edie Miglio, Andrea Mola, and Anna Scotti. "Numerical simulation of the dynamics of boats by a variational inequality approach." In Variational Analysis and Aerospace Engineering, 213–27. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-95857-6_12.
Full textRozier, Kristin Yvonne. "On Teaching Applied Formal Methods in Aerospace Engineering." In Formal Methods Teaching, 111–31. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32441-4_8.
Full textPutcha, Chandrasekhar, Subhrajit Dutta, and Sanjay K. Gupta. "Probabilistic Simulation Methods." In Reliability and Risk Analysis in Engineering and Medicine, 67–84. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80454-1_5.
Full textConference papers on the topic "Aerospace engineering – Simulation methods"
LaMont, Douglas V., Jack J. Rodden, and William E. Nelson. "High-technology multibody spacecraft dynamics simulation methods." In Optical Engineering and Photonics in Aerospace Sensing, edited by Michael K. Masten and Larry A. Stockum. SPIE, 1993. http://dx.doi.org/10.1117/12.156602.
Full textZheng, Yao, Lijun Xie, Jianfeng Zou, Jianjun Chen, Jifa Zhang, Jane W. Z. Lu, Andrew Y. T. Leung, Vai Pan Iu, and Kai Meng Mok. "Aerospace Numerical Simulation and Digital Prototyping Technologies." In PROCEEDINGS OF THE 2ND INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL MECHANICS AND THE 12TH INTERNATIONAL CONFERENCE ON THE ENHANCEMENT AND PROMOTION OF COMPUTATIONAL METHODS IN ENGINEERING AND SCIENCE. AIP, 2010. http://dx.doi.org/10.1063/1.3452141.
Full textLaMont, Douglas V., Jack J. Rodden, and William E. Nelson. "High-TEC multibody spacecraft dynamics simulation methods extended." In SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, edited by Michael K. Masten, Larry A. Stockum, Morris M. Birnbaum, and George E. Sevaston. SPIE, 1994. http://dx.doi.org/10.1117/12.178947.
Full textChamis, Christos C. "Aerospace Composite Structures: Applications/Design/Analysis." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0386.
Full textSomov, Sergey, and Tatyana Somova. "Methods for nonlinear analysis, simulation and animation of land-survey spacecraft guidance." In 10TH INTERNATIONAL CONFERENCE ON MATHEMATICAL PROBLEMS IN ENGINEERING, AEROSPACE AND SCIENCES: ICNPAA 2014. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4904678.
Full textBraccesi, Claudio, Filippo Cianetti, and Luca Landi. "Random Loads Fatigue: The Use of Spectral Methods Within Multibody Simulation." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84453.
Full textNielsen, Eric J. "Adjoint-Based Aerodynamic Design of Complex Aerospace Configurations." In ASME 2016 Fluids Engineering Division Summer Meeting collocated with the ASME 2016 Heat Transfer Summer Conference and the ASME 2016 14th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fedsm2016-7573.
Full textBowkett, Joseph, and Rudranarayan Mukherjee. "Comparison of Control Methods for Two-Link Planar Flexible Manipulator." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67937.
Full textKourdali, Houda Kerkoub, and Lance Sherry. "A systems engineering method for analysis and simulation of standard operating procedures." In HCI-Aero '16: International Conference on Human-Computer Interaction in Aerospace 2016. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2950112.2964580.
Full textMufti, Abdullah, Romana Basit, and M. Abdul Basit. "Numerical simulation of thermal incompressible fluid flow using Lattice Boltzmann's method." In 2013 International Conference on Aerospace Science & Engineering (ICASE). IEEE, 2013. http://dx.doi.org/10.1109/icase.2013.6785545.
Full textReports on the topic "Aerospace engineering – Simulation methods"
Markova, Oksana, Serhiy Semerikov, and Maiia Popel. СoCalc as a Learning Tool for Neural Network Simulation in the Special Course “Foundations of Mathematic Informatics”. Sun SITE Central Europe, May 2018. http://dx.doi.org/10.31812/0564/2250.
Full textDuque, Earl, Steve Legensky, Brad Whitlock, David Rogers, Andrew Bauer, Scott Imlay, David Thompson, and Seiji Tsutsumi. Summary of the SciTech 2020 Technical Panel on In Situ/In Transit Computational Environments for Visualization and Data Analysis. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40887.
Full textBidier, S., U. Khristenko, R. Tosi, R. Rossi, and C. Soriano. D7.3 Report on UQ results and overall user experience. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.9.002.
Full textBidier, S., U. Khristenko, A. Kodakkal, C. Soriano, and R. Rossi. D7.4 Final report on Stochastic Optimization results. Scipedia, 2022. http://dx.doi.org/10.23967/exaqute.2022.3.02.
Full textDiahyleva, Olena S., Igor V. Gritsuk, Olena Y. Kononova, and Alona Y. Yurzhenko. Computerized adaptive testing in educational electronic environment of maritime higher education institutions. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4448.
Full textRoye, Thorsten. Unsettled Technology Areas in Deterministic Assembly Approaches for Industry 4.0. SAE International, August 2021. http://dx.doi.org/10.4271/epr2021018.
Full textMalej, Matt, and Fengyan Shi. Suppressing the pressure-source instability in modeling deep-draft vessels with low under-keel clearance in FUNWAVE-TVD. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40639.
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