Littérature scientifique sur le sujet « Flutter Prediction »
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Articles de revues sur le sujet "Flutter Prediction"
Dimitriadis, G., et J. E. Cooper. « Flutter Prediction from Flight Flutter Test Data ». Journal of Aircraft 38, no 2 (mars 2001) : 355–67. http://dx.doi.org/10.2514/2.2770.
Texte intégralSudha, U. P. V., G. S. Deodhare et K. Venkatraman. « A comparative assessment of flutter prediction techniques ». Aeronautical Journal 124, no 1282 (27 octobre 2020) : 1945–78. http://dx.doi.org/10.1017/aer.2020.84.
Texte intégralGabriela, STROE, et ANDREI Irina-Carmen. « STUDIES ON FLUTTER PREDICTION ». INCAS BULLETIN 4, no 1 (9 mars 2012) : 115–23. http://dx.doi.org/10.13111/2066-8201.2012.4.1.12.
Texte intégralCANFIELD, ROBERT A., RAYMOND G. TOTH et REID MELVILLE. « VIBRATION AND TRANSONIC FLUTTER ANALYSIS FOR F-16 STORES CONFIGURATION CLEARANCE ». International Journal of Structural Stability and Dynamics 06, no 03 (septembre 2006) : 377–95. http://dx.doi.org/10.1142/s0219455406002039.
Texte intégralChi, R. M., et A. V. Srinivasan. « Some Recent Advances in the Understanding and Prediction of Turbomachine Subsonic Stall Flutter ». Journal of Engineering for Gas Turbines and Power 107, no 2 (1 avril 1985) : 408–17. http://dx.doi.org/10.1115/1.3239741.
Texte intégralSun, Zhi Wei, et Jun Qiang Bai. « Time-Domain Aeroservoelastic Modeling and Active Flutter Suppression by Model Predictive Control ». Advanced Materials Research 898 (février 2014) : 688–95. http://dx.doi.org/10.4028/www.scientific.net/amr.898.688.
Texte intégralDimitriadis, G., et J. E. Cooper. « Comment on "Flutter Prediction from Flight Flutter Test Data" ». Journal of Aircraft 43, no 3 (mai 2006) : 862–63. http://dx.doi.org/10.2514/1.c9463tc.
Texte intégralBae, Jae-Sung, Jong-Yun Kim, In Lee, Yuji Matsuzaki et Daniel J. Inman. « Extension of Flutter Prediction Parameter for Multimode Flutter Systems ». Journal of Aircraft 42, no 1 (janvier 2005) : 285–88. http://dx.doi.org/10.2514/1.6440.
Texte intégralArifianto, Dhany. « Flutter prediction on combined EPS and carbon sandwich structure for light aircraft wing ». Journal of the Acoustical Society of America 150, no 4 (octobre 2021) : A345. http://dx.doi.org/10.1121/10.0008533.
Texte intégralZheng, Hua, Junhao Liu et Shiqiang Duan. « Novel Nonstationarity Assessment Method for Hypersonic Flutter Flight Tests ». Mathematical Problems in Engineering 2018 (25 octobre 2018) : 1–12. http://dx.doi.org/10.1155/2018/9742591.
Texte intégralThèses sur le sujet "Flutter Prediction"
Perrocheau, Mathilde. « Flutter Prediction in Transonic Regime ». Thesis, KTH, Flygdynamik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234840.
Texte intégralTurevskiy, Arkadiy 1974. « Flutter boundary prediction using experimental data ». Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50327.
Texte intégralYildiz, Erdinc Nuri. « Aeroelastic Stability Prediction Using Flutter Flight Test Data ». Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608623/index.pdf.
Texte intégralShieh, Teng-Hua. « Prediction and analysis of wing flutter at transonic speeds ». Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/185694.
Texte intégralSun, Tianrui. « Improved Flutter Prediction for Turbomachinery Blades with Tip Clearance Flows ». Licentiate thesis, KTH, Energiteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233770.
Texte intégralOpgenoord, Max Maria Jacques. « Transonic flutter prediction and aeroelastic tailoring for next-generation transport aircraft ». Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120380.
Texte intégralThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 121-141) and index.
Novel commercial transport aircraft concepts feature large wing spans to increase their fuel efficiency; these wings are more flexible, leading to more potential aeroelastic problems. Furthermore, these aircraft fly in the transonic flow regime, where utter prediction is difficult. The goals for this thesis are to devise a method to reduce the computational burden of including transonic utter constraints in conceptual design tools, and to offer a potential solution for mitigating utter problems through the use of additive manufacturing techniques, specically focusing on a design methodology for lattice structures. To reduce the computational expense of considering transonic utter in conceptual aircraft design, a physics-based low-order method for transonic utter prediction is developed, which is based on small unsteady disturbances about a known steady flow solution. The states of the model are the circulation and doublet perturbations, and their evolution equation coefficients are calibrated using off-line unsteady two-dimensional flow simulations. The model is formulated for swept high-aspect ratio wings through strip theory and 3D corrections. The resulting low-order unsteady flow model is coupled to a typical-section structural model (for airfoils) or a beam model (for wings) to accurately predict utter of airfoils and wings. The method is fast enough to permit incorporation of transonic utter constraints in conceptual aircraft design calculations, as it only involves solving for the eigenvalues of small state-space systems. This model is used to describe the influence of transonic utter on next generation aircraft configurations, where it was found that transonic utter constraints can limit the eciency gains seen by better material technology. As a potential approach for mitigating utter, additively manufactured lattice structures are aeroelastically tailored to increase the flutter margin of wings. Adaptive meshing techniques are used to design the topology of the lattice to align with the load direction while adhering to manufacturing constraints, and the lattice is optimized to minimize the structural weight and to improve the flutter margin. The internal structure of a wing is aeroelastically tailored using this design strategy to increase the flutter margin, which only adds minimal weight to the structure due to the large design freedom the lattice structure offers.
by Max Maria Jacques Opgenoord.
Ph. D.
Erives, Anchondo Ruben. « Validation of non-linear time marching and time-linearised CFD solvers used for flutter prediction ». Thesis, KTH, Kraft- och värmeteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175542.
Texte intégralDelamore-Sutcliffe, David William. « Modelling of unsteady stall aerodynamics and prediction of stall flutter boundaries for wings and propellers ». Thesis, University of Bristol, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440048.
Texte intégralKassem, H. I. « Flutter prediction of metallic and composite wings using coupled DSM-CFD models in transonic flow ». Thesis, City, University of London, 2017. http://openaccess.city.ac.uk/20404/.
Texte intégralPerry, Brendan. « Predictions of flutter at transonic speeds ». Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.498853.
Texte intégralLivres sur le sujet "Flutter Prediction"
J, Brenner Martin, et United States. National Aeronautics and Space Administration., dir. A worst-case approach for on-line flutter prediction. [Washington, D.C : National Aeronautics and Space Administration, 1998.
Trouver le texte intégralJ, Brenner Martin, et United States. National Aeronautics and Space Administration., dir. A worst-case approach for on-line flutter prediction. [Washington, D.C : National Aeronautics and Space Administration, 1998.
Trouver le texte intégralA, Simons Todd, et NASA Glenn Research Center, dir. Application of TURBO-AE to flutter prediction : Aeroelastic code development. [Cleveland, Ohio] : National Aeronautics and Space Administration, Glenn Research Center, 2001.
Trouver le texte intégralA, Simons Todd, et NASA Glenn Research Center, dir. Application of TURBO-AE to flutter prediction : Aeroelastic code development. [Cleveland, Ohio] : National Aeronautics and Space Administration, Glenn Research Center, 2001.
Trouver le texte intégralA, Simons Todd, et NASA Glenn Research Center, dir. Application of TURBO-AE to flutter prediction : Aeroelastic code development. [Cleveland, Ohio] : National Aeronautics and Space Administration, Glenn Research Center, 2001.
Trouver le texte intégralV, Kaza K. R., et United States. National Aeronautics and Space Administration., dir. Semi-empirical model for prediction of unsteady forces on an airfoil with application to flutter. [Washington, DC] : National Aeronautics and Space Administration, 1992.
Trouver le texte intégralV, Kaza K. R., et United States. National Aeronautics and Space Administration., dir. Semi-empirical model for prediction of unsteady forces on an airfoil with application to flutter. [Washington, DC] : National Aeronautics and Space Administration, 1992.
Trouver le texte intégralPaduano, James D. Methods for in-flight robustness evaluation : Summary of research. [Washington, DC : National Aeronautics and Space Administration, 1995.
Trouver le texte intégral1945-, Bennett Robert M., et Langley Research Center, dir. Using transonic small disturbance theory for predicting the aeroelastic stability of a flexible wind-tunnel model. Hampton, Va : National Aeronautics and Space Administration, Langley Research Center, 1990.
Trouver le texte intégralEric, Feron, Brenner Marty et United States. National Aeronautics and Space Administration., dir. Methods for in-flight robustness evaluation : Summary of research. [Washington, DC : National Aeronautics and Space Administration, 1995.
Trouver le texte intégralChapitres de livres sur le sujet "Flutter Prediction"
Promio, Charles F., T. S. Varalakshmi, Pooja Bhat, G. A. Vedavathi et V. Sushma. « Unsteady aerodynamic force approximation for flutter prediction ». Dans Aerospace and Associated Technology, 366–71. London : Routledge, 2022. http://dx.doi.org/10.1201/9781003324539-67.
Texte intégralKumar, A. Arun, et Amit Kumar Onkar. « Robust Flutter Prediction of an Airfoil Including Uncertainties ». Dans Lecture Notes in Mechanical Engineering, 305–14. Singapore : Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9601-8_22.
Texte intégralSévérin*, Tinmitonde, He Xuhui et Yan Lei. « Prediction of flutter velocity of long-span bridges using probabilistic approach ». Dans Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems, 90–95. London : CRC Press, 2022. http://dx.doi.org/10.1201/9781003348443-14.
Texte intégralTinmitonde, S., X. He et L. Yan. « Prediction of flutter velocity of long-span bridges using probabilistic approach ». Dans Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems, 31–32. London : CRC Press, 2022. http://dx.doi.org/10.1201/9781003348450-14.
Texte intégralBanavara, Nagaraj K., et Diliana Dimitrov. « Prediction of Transonic Flutter Behavior of a Supercritical Airfoil Using Reduced Order Methods ». Dans Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 365–73. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03158-3_37.
Texte intégralHebler, Anne, et Reik Thormann. « Flutter Prediction of a Laminar Airfoil Using a Doublet Lattice Method Corrected by Experimental Data ». Dans Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 445–55. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27279-5_39.
Texte intégralArena, Andrew S., et Kajal K. Gupta. « Expediting time-marching supersonic flutter prediction through a combination of CFD and aerodynamic modeling techniques ». Dans Fifteenth International Conference on Numerical Methods in Fluid Dynamics, 268–73. Berlin, Heidelberg : Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0107113.
Texte intégralZhou, R., Y. J. Ge, Y. Yang, Y. D. Du et L. H. Zhang. « Nonlinear Wind-Induced Vibration Behaviors of Multi-tower Suspension Bridges Under Strong Wind Conditions ». Dans Lecture Notes in Civil Engineering, 1–10. Singapore : Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3330-3_1.
Texte intégralGeorgiou, Georgia, Hamed Haddad Khodaparast et Jonathan E. Cooper. « Uncertainty Quantification of Aeroelastic Stability ». Dans Advances in Computational Intelligence and Robotics, 329–56. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4991-0.ch016.
Texte intégralKanani, Pratik, et Mamta Chandraprakash Padole. « ECG Image Classification Using Deep Learning Approach ». Dans Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning, 343–57. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2742-9.ch016.
Texte intégralActes de conférences sur le sujet "Flutter Prediction"
Ueda, Tetsuhiko, Masanobu IIo et Tadashige Ikeda. « Flutter Prediction Using Wavelet Transform ». Dans 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virigina : American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-2320.
Texte intégralLowe, Brandon, et David W. Zingg. « Flutter Prediction using Reduced-Order Modeling ». Dans AIAA Scitech 2020 Forum. Reston, Virginia : American Institute of Aeronautics and Astronautics, 2020. http://dx.doi.org/10.2514/6.2020-1998.
Texte intégralTamayama, Masato, Hitoshi Arizono, Kenichi Saitoh et Norio Yoshimoto. « Development of flutter margin prediction program ». Dans 9TH INTERNATIONAL CONFERENCE ON MATHEMATICAL PROBLEMS IN ENGINEERING, AEROSPACE AND SCIENCES : ICNPAA 2012. AIP, 2012. http://dx.doi.org/10.1063/1.4765614.
Texte intégralPettit, Chris, et Philip Beran. « Reduced-order modeling for flutter prediction ». Dans 41st Structures, Structural Dynamics, and Materials Conference and Exhibit. Reston, Virigina : American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-1446.
Texte intégralRaveh, Daniella E., et Matan Argaman. « Aeroelastic System Identification and Flutter Prediction ». Dans 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia : American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-1440.
Texte intégralLi, Wu, Karl Geiselhart et Jay Robinson. « Flutter Prediction for Aircraft Conceptual Design ». Dans AIAA Scitech 2019 Forum. Reston, Virginia : American Institute of Aeronautics and Astronautics, 2019. http://dx.doi.org/10.2514/6.2019-0174.
Texte intégralZhou, Daheng, et Li Zhou. « Flutter boundary prediction based on CEEMDAN ». Dans Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI, sous la direction de Peter J. Shull, Tzuyang Yu, Andrew L. Gyekenyesi et H. Felix Wu. SPIE, 2022. http://dx.doi.org/10.1117/12.2612246.
Texte intégralZeng, Jie, P. C. Chen et Sunil Kukreja. « Investigation of the Prediction Error Identification for Flutter Prediction ». Dans AIAA Atmospheric Flight Mechanics Conference. Reston, Virigina : American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-4575.
Texte intégralHuang, Chao, Zhigang Wu, Chao Yang et Yuting Dai. « Flutter Boundary Prediction for a Flying-Wing Model Exhibiting Body Freedom Flutter ». Dans 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia : American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-0415.
Texte intégralMelek, Merve, et Metin O. Kaya. « Supersonic flutter prediction of functionally graded panel ». Dans 2009 4th International Conference on Recent Advances in Space Technologies (RAST). IEEE, 2009. http://dx.doi.org/10.1109/rast.2009.5158184.
Texte intégralRapports d'organisations sur le sujet "Flutter Prediction"
Casey, J. K. Empirical Flutter Prediction Method. Fort Belvoir, VA : Defense Technical Information Center, mars 1988. http://dx.doi.org/10.21236/ada195699.
Texte intégralDowell, Earl H., et Kenneth C. Hall. Theoretical Prediction of Limit Cycle Oscillations in Support of Flight Flutter Testing. Fort Belvoir, VA : Defense Technical Information Center, août 2003. http://dx.doi.org/10.21236/ada426408.
Texte intégralFarhat, Charles. Real Time Predictive Flutter Analysis and Continuous Parameter Identification of Accelerating Aircraft. Fort Belvoir, VA : Defense Technical Information Center, septembre 1998. http://dx.doi.org/10.21236/ada361695.
Texte intégralFarhat, Charbel. Real-Time Predictive Flutter Analysis and Continuous Parameter Identification of Accelerating Aircraft. Fort Belvoir, VA : Defense Technical Information Center, janvier 2001. http://dx.doi.org/10.21236/ada387498.
Texte intégralFarhat, Charbel. Real-Time Predictive Flutter Analysis and Continuous Parameter Identification of Acclerating Aircraft. Fort Belvoir, VA : Defense Technical Information Center, octobre 2000. http://dx.doi.org/10.21236/ada389378.
Texte intégral