zbMATH — the first resource for mathematics

Parallel computation of aeroacoustics of industrially relevant complex-geometry aeroengine jets. (English) Zbl 1410.76418
Summary: Jet noise is still a distinct noise component when a commercial aircraft is taking off. A parallel high-fidelity simulation framework for industrial jet noise prediction is presented in this paper. This framework includes complex geometry meshing and Ffowcs Williams-Hawkings (FW-H) surface placement during preprocessing, a parallel hybrid RANS-LES flow solver coupled with an FW-H acoustic solver in the simulation and mean and unsteady data processing after the simulation. The use of this framework is demonstrated through two jet noise prediction cases: in-flight heated jets and installed ultra-high bypass-ratio (UHBPR) engines. These simulations can provide more insight than experimental tests into jet flow physics for engineering model improvement. Additional advantages are also shown in the cost and turn-around time. Thus, there is great potential for high-fidelity jet noise simulations to partly replace rig tests for industrial use in the future.
Reviewer: Reviewer (Berlin)
76Q05 Hydro- and aero-acoustics
65Y05 Parallel numerical computation
76F65 Direct numerical and large eddy simulation of turbulence
Full Text: DOI
[1] Tinseth, R., Current market outlook: 2017-2036, (2017), Boeing Commercial Airplanes: Boeing Commercial Airplanes Seattle, USA
[2] Crighton, D.; Williams, J. F.; Cheeseman, L., The outlook for simulation of forward flight effects on aircraft noise, J Aircr, 14, 11, 1117-1125, (1977)
[3] Slotnick, J.; Khodadoust, A.; Alonso, J.; Darmofal, D.; Gropp, W.; Lurie, E., CFD vision 2030 study: a path to revolutionary computational aerosciences, NASA CR-2014-218178, (2014)
[4] Bodony, D. J.; Lele, S. K., Current status of jet noise predictions using large-eddy simulation, AIAA J, 46, 2, 364, (2008)
[5] DeBonis, J. R., Progress toward large-eddy simulations for prediction of realistic nozzle systems, J Propul Power, 23, 5, 971, (2007)
[6] Tyacke, J.; Naqavi, I.; Wang, Z.-N.; Tucker, P.; Boehning, P., Predictive large eddy simulation for jet aeroacoustics-current approach and industrial application, J Turbomach, 139, 8, 081003, (2017)
[7] Karabasov, S.; Afsar, M.; Hynes, T.; Dowling, A.; McMullan, W.; Pokora, C., Jet noise: acoustic analogy informed by large eddy simulation, AIAA J, 48, 7, 1312, (2010)
[8] Chapman, D. R.; Mark, H.; Pirtle, M. W., Computers vs. wind tunnels for aerodynamic flow simulations, Astronaut Aeronaut, 13, 22-30, (1975)
[9] Tucker, P. G., Novel miles computations for jet flows and noise, Int J Heat Fluid Flow, 25, 4, 625-635, (2004)
[10] Eastwood, S.; Tucker, P.; Xia, H., High-performance computing in jet aerodynamics, Parallel Scientific Computing and Optimization, 193-206, (2009), Springer
[11] Wang Z.-N., Naqavi I.Z., Mahak M., Tucker P., Yuan X., Strange P. Far field noise prediction of subsonic hot and cold jets using large-eddy simulation. Proceedings of the ASME Turbo Expo2014;:GT2014-25928.
[12] Wang Z.-N., Tucker P., Boehning P.. Large-eddy simulation of the flight stream effects on single stream heated jets. AIAA paper2017;2017-0457.
[13] Xia, H.; Tucker, P. G.; Eastwood, S., Large-eddy simulations of chevron jet flows with noise predictions, Int J Heat Fluid Flow, 30, 6, 1067-1079, (2009)
[14] Xia, H.; Tucker, P. G., Numerical simulation of single-stream jets from a serrated nozzle, Flow Turbul. Combust., 88, 1, 3-18, (2012) · Zbl 1366.76041
[15] Eastwood, S.; Xia, H.; Tucker, P. G., Large-eddy simulation of complex geometry jets, J Propul Power, 28, 2, 235-245, (2012)
[16] Eastwood, S.; Tucker, P.; Xia, H.; Dunkley, P.; Carpenter, P., Large-eddy simulations and measurements of a small-scale high-speed coflowing jet, AIAA J, 48, 5, 963, (2010)
[17] Wang Z.-N., Tyacke J., Tucker P. Hybrid LES/RANS predictions of flows and acoustics from an ultra-highbypass-ratio serrated nozzle. Note on Numerical Fluid Mechanics and Multidisciplinary Design: Progress in Hybrid RANS-LES Modeling2018;1-12(in press).
[18] Xia, H.; Tucker, P.; Eastwood, S.; Mahak, M., The influence of geometry on jet plume development, Prog Aerosp Sci, 52, 56-66, (2012)
[19] Tyacke, J. C.; Mahak, M.; Tucker, P. G., Large-scale multifidelity, multiphysics, hybrid reynolds-averaged navier-stokes/large-eddy simulation of an installed aeroengine, J Propul Power, 997-1008, (2016)
[20] Tyacke J.C., Wang Z.-N., Tucker P.G. LES-RANS Of installed ultra-high bypass-ratio coaxial jet aeroacoustics with a finite span wing-flap geometry and flight stream-part 1: round nozzle. AIAA paper2017b;2017-3854.
[21] Wang Z.-N., Tyacke J., Tucker P. LES-RANS of installed ultra-high bypass-ratio coaxial jet aeroacoustics with a finite span wing-flap geometry and flight stream-part 2: chevron nozzles. 2017b, p. 2017-3855.
[22] Naqavi, I. Z.; Wang, Z.-N.; Tucker, P. G.; Mahak, M.; Strange, P., Far-field noise prediction for jets using large-eddy simulation and ffowcs williams-hawkings method, Int J Aeroacoust, 15, 8, 757-780, (2016)
[23] Watson, R.; Tucker, P.; Wang, Z.-N.; Yuan, X., Towards robust unstructured turbomachinery large eddy simulation, Comput Fluids, 118, 245-254, (2015)
[24] Tucker, P., Differential equation-based wall distance computation for DES and RANS, J Comput Phys, 190, 1, 229-248, (2003) · Zbl 1236.76028
[25] Burgess, D.; Crumpton, P.; Giles, M., A parallel framework for unstructured grid solvers, Programming environments for massively parallel distributed systems, 97-106, (1994), Birkhäuser: Birkhäuser Basel
[26] Gropp, W.; Lusk, E.; Doss, N.; Skjellum, A., A high-performance, portable implementation of the mpi message passing interface standard, Parallel Comput, 22, 6, 789-828, (1996) · Zbl 0875.68206
[27] Karypis, G., METIS and parMETIS, Encyclopedia of parallel computing, 1117-1124, (2011), Springer
[28] Folk, M.; Cheng, A.; Yates, K., HDF5: a file format and I/O library for high performance computing applications, Proceedings of the supercomputing, 99, 5-33, (1999)
[29] Williams, J. F.; Hawkings, D. L., Sound generation by turbulence and surfaces in arbitrary motion, Philos Trans R Soc Lond A: Math Phys Eng Sci, 264, 1151, 321-342, (1969) · Zbl 0182.59205
[30] Najafi-Yazdi, A.; Brès, G. A.; Mongeau, L., An acoustic analogy formulation for moving sources in uniformly moving media, Proceedings of the royal society of london a: mathematical, physical and engineering sciences, 467, 144-165, (2011), The Royal Society · Zbl 1219.76046
[31] Michalke, A.; Michel, U., Prediction of jet noise in flight from static tests, J Sound Vib, 67, 3, 341-367, (1979) · Zbl 0432.76073
[32] Bridges J., Werner M.P. Establishing consensus turbulence statistics for hot subsonic jets. AIAA paper2010;:2010-3751.
[33] Goldstein, M. E., A generalized acoustic analogy, J Fluid Mech, 488, 315-333, (2003) · Zbl 1063.76630
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.