Application of Genetic Programming and Artificial Neural Network Approaches for Reconstruction of Turbulent Jet Flow Fields

Conference paper


Vasily, G., Armani, U., Murali, A. R., Markesteijn, A. P., Karabasov, S. K., Toropov, V., Naghibi, E. and Riabov, V. 2022. Application of Genetic Programming and Artificial Neural Network Approaches for Reconstruction of Turbulent Jet Flow Fields. 33rd Congress of the International Council of the Aeronautical Sciences. Stockholm, Sweden 04 - 09 Sep 2022 International Council of the Aeronautical Sciences (ICAS).
AuthorsVasily, G., Armani, U., Murali, A. R., Markesteijn, A. P., Karabasov, S. K., Toropov, V., Naghibi, E. and Riabov, V.
TypeConference paper
Abstract

Two Machine Learning (ML) methods are considered for reconstruction of turbulet signals corresponding to
the Large Eddy Simulation database obtained by application of the high-resolution CABARET method accelerated on GPU cards for flow solutions of NASA Small Hot Jet Acoustic Rig (SHJAR) jets. The first method is the Feedforward Neural Networks technique, which was successfully implemented for a turbulent flow over a plunging aerofoil in (Lui and Wolf, 2019). The second method is based on the application of Genetic Programming, which is well-known in optimisation research, but has not been applied for turbulent flow reconstruction before. The reconstruction of local flow velocity and pressure signals as well as timedependent principle coefficients of the Spectral Proper Orthogonal Decomposition of turbulent pressure fluctuations are considered. Stability and dependency of the ML algorithms on the smoothness property and the sampling rate of the underlying turbulent flow signals are discussed.

Year2022
Conference33rd Congress of the International Council of the Aeronautical Sciences
PublisherInternational Council of the Aeronautical Sciences (ICAS)
Publisher's version
License
File Access Level
Anyone
Publication dates
Online28 Nov 2022
Publication process dates
Deposited20 Jun 2023
ISSN2958-4647
Web address (URL) of conference proceedingshttps://www.icas.org/ICAS_ARCHIVE/ICAS2022/index.html
Web address (URL)https://www.icas.org/ICAS_ARCHIVE/ICAS2022/data/preview/ICAS2022_0643.htm
Copyright holder© 2022, The Author(s)
Permalink -

https://repository.uel.ac.uk/item/8w293

Download files


Publisher's version
ICAS2022_0643_paper.pdf
License: All rights reserved
File access level: Anyone

  • 44
    total views
  • 25
    total downloads
  • 5
    views this month
  • 3
    downloads this month

Export as

Related outputs

Zonal jets in the Southern Ocean: a semi-analytical model based on scale separation
Naghibi, E., Karabasov, S. A. and Kamenkovich, I. 2023. Zonal jets in the Southern Ocean: a semi-analytical model based on scale separation. Ocean Modelling. 183 (Art. 102198). https://doi.org/10.1016/j.ocemod.2023.102198
Statistical analysis of high-speed jet flows
Gryazev, V., Riabov, V., Markesteijn, A. P., Naghibi, E., Armani, U., Toropov, V. and Karabasov, S. A. 2022. Statistical analysis of high-speed jet flows. AIAA Aviation 2022 Forum. Chicago, IL; USA 27 Jun - 01 Jul 2022 American Institute of Aeronautics and Astronautics (AIAA). https://doi.org/10.2514/6.2022-3977
TMTDyn: A Matlab package for modeling and control of hybrid rigid–continuum robots based on discretized lumped systems and reduced-order models
Sadati, S. M. H., Naghibi, S. E., Shiva, A., Michael, B., Renson, L., Howard, M., Rucker, C. D., Althoefer, K., Nanayakkara, T., Zschaler, S., Bergeles, C., Hauser, H. and Walker, I. D. 2020. TMTDyn: A Matlab package for modeling and control of hybrid rigid–continuum robots based on discretized lumped systems and reduced-order models. International Journal of Robotics Research (IJRR). 40 (1), p. 296–347. https://doi.org/10.1177/0278364919881685
Fast spectral solutions of the double-gyre problem in a turbulent flow regime
Naghibi, E., Karabasov, S. A., Jalali, M. A. and Sadati, S. M. H. 2019. Fast spectral solutions of the double-gyre problem in a turbulent flow regime. Applied Mathematical Modelling. 66, pp. 745-767. https://doi.org/10.1016/j.apm.2018.09.026
Flux-corrected dispersion-improved CABARET schemes for linear and nonlinear wave propagation problems
Chintagunta, A., Naghibi, S. E. and Karabasov, S. A. 2018. Flux-corrected dispersion-improved CABARET schemes for linear and nonlinear wave propagation problems. Computers and Fluids. 169, pp. 111-128. https://doi.org/10.1016/j.compfluid.2017.08.018
Control Space Reduction and Real-Time Accurate Modeling of Continuum Manipulators Using Ritz and Ritz-Galerkin Methods
Sadati, S. M. H., Naghibi, S. E., Walker, I. D., Althoefer, K. and Nanayakkara, T. 2017. Control Space Reduction and Real-Time Accurate Modeling of Continuum Manipulators Using Ritz and Ritz-Galerkin Methods. IEEE Robotics and Automation Letters. 3 (1), pp. 328 - 335. https://doi.org/10.1109/LRA.2017.2743100
Excitation of the Earth's Chandler wobble by a turbulent oceanic double-gyre
Naghibi, E., Jalali, MA, Karabasov, S. A. and Alam, M., -R. 2017. Excitation of the Earth's Chandler wobble by a turbulent oceanic double-gyre. Geophysical Journal International. 209 (1), p. 509–516. https://doi.org/10.1093/gji/ggx032
Nonlinear Vibrations and Chaos in Rectangular Functionally Graded Plates with Thermo-mechanical Coupling
Naghibi, S. E. and Mahzoon, M. 2016. Nonlinear Vibrations and Chaos in Rectangular Functionally Graded Plates with Thermo-mechanical Coupling. International Journal of Acoustics and Vibration. 21 (3), pp. 308-316. https://doi.org/10.20855/ijav.2016.21.3425