Publishing outputs

Research Project (2024-2026): Investigation of 3D flow structures and their effects on aeroelastic stability of turbine-blade cascades using experiment and deep learning approach

P. Šnábl, L. Pešek, P. Procházka, and C. S. Prasad, “Computer-aided engineering in the design of an experimental blade cascade for fluid-structure interaction studies,” in Advances in Mechanism Design IV: Proceedings of TMM 2024, Cham: Springer, 2024. doi: 10.1007/978-3-031-70251-8.

Šnábl, Pavel – Prasad, Chandra Shekhar – Pešek, Luděk – Procházka, Pavel P., Experimental blade cascade for aeroelastic studies in the presence of 3d flow structures: initial design idea. Dynamics of Machines and Mechanical Systems with Interactions : DYMAMESI 2024. Prague: Institute of Thermomechanics of the CAS, 2024 – (Zolotarev, I.; Pešek, L.; Kozień, M.), s. 71-74. ISBN 978-80-87012-89-5.

Pešek, Luděk – Schumann, William. Testing of advanced algorithms for classification and prediction of flutter states of measured time-variable responses of a randomly-tested airfoil. PROCEEDINGS OF COMPUTATIONAL MECHANICS 2024. Plzeň: University of West Bohemia, 2024 – (Adámek, V.; Jonášová, A.; Plánička, S.). ISBN 978-80-261-1249-5.

Šnábl, Pavel. Analytical Modeling and Analysis of Mistuned Bladesin Blade Cascade System. PROCEEDINGS OF COMPUTATIONAL MECHANICS 2024. Plzeň: University of West Bohemia, 2024 – (Adámek, V.; Jonášová, A.; Plánička, S.). ISBN 978-80-261-1249-5.

Byrtus, M. and Dyk, Š., 2024. Self-induced non-synchronous resonance phenomena and stability in reduced aero-elastic system. Communications in Nonlinear Science and Numerical Simulation, 137, p.108141.

Skála, V., Procházka, P., Uruba, V., Suchý, O. Uklidňovací komora aerodynamického tunelu. Technical report T-592/24.

Byrtus, Miroslav and Dyk, Štěpán. Vibration modes in a bistable reduced FSI model. 39th Conference with International Participation Computational Mechanics 2024. Conference presentation. Srní 4 – 6 November 2024. University of West Bohemia.

Heidler, V., Bublík, O., Vimmr J. Convolution neural network for fluid flow simulations in cascade with oscillating blades, Proceedings of the 9th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2024, Lisboa, Portugal

Bublík, O., Heidler, V., Vimmr J. Simulating fluid dynamics in a cascade of oscillating blades using a convolutional neural network. PROCEEDINGS OF COMPUTATIONAL MECHANICS 2024. Plzeň: University of West Bohemia, 2024, ISBN 978-80-261-1249-5.

Bublík, O., Heidler, V., Vimmr J. Convolution neural network for fluid flow simulations in cascade with oscillating blades, Journal of Computational and Applied Mathematics, 462, 2025, https://doi.org/10.1016/j.cam.2024.116478.

Pešek L., Schumann W.: Prediction of Flutter Onset by an LSTM Neural Network from Measured Time-Variable Responses of a Randomly-Tested Airfoil Using Lyapunov Exponents for Flutter Classification. Applied and Computational Mechanics, Sept. 2025, https://doi.org/10.24132/acm.2025.941.

Prasad, C.S., Šnábl, P., Pešek, L. Rapid Prediction of Subsonic Flutter Instability of Axial Flow Turbine Using Critical Frequency Map. In: Dimitrovová, Z., Biswas, P., Silva, T.A.N. (eds) Proceedings of ICOVP and WMVC 2025. WMVC 2025. Mechanisms and Machine Science, vol 197. Springer, Cham. https://doi.org/10.1007/978-3-032-13225-3_20.

Šnábl, P., Pešek, L., Procházka, P., Prasad, C.S. Pulse Excitation of Linear Blade Cascade Blades: Experimental Investigation of Aeroelastic Couplings. In: Dimitrovová, Z., Biswas, P., Silva, T.A.N. (eds) Proceedings of ICOVP and WMVC 2025. WMVC 2025. Mechanisms and Machine Science, vol 197. Springer, Cham. https://doi.org/10.1007/978-3-032-13225-3_9.

Pešek, L., Šnábl, P., Prasad, C.S. (2026). Reduced Modal Modelling of Turbine Wheel for Suppression of Self-excited Torsional Vibration by Interblade Tie-Boss and Shroud Dry-Friction Damping. In: Dimitrovová, Z., Biswas, P., Silva, T.A.N. (eds) Proceedings of ICOVP and WMVC 2025. WMVC 2025. Mechanisms and Machine Science, vol 197. Springer, Cham. https://doi.org/10.1007/978-3-032-13225-3_21.