Advanced Sonic Boom Prediction Using the Augmented Burgers Equation

Rallabhandi, Sriram K.

doi:10.2514/1.c031248

Cited by 156 publications

(55 citation statements)

References 17 publications

(27 reference statements)

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“…As before, sBOOM (v2.5) [23] is used for propagation and noise metrics are computed with LCASB [24]. sBOOM solves a quasi-onedimensional PDE via finite difference and is therefore subject to truncation error.…”

Section: Propagation Resultsmentioning

confidence: 99%

“…Atmospheric propagation for all submitted cases was performed with NASA's sBOOM code (v2.5) [23]. This propagation tool was specifically developed for boom analysis.…”

Section: Atmospheric Propagation and Noise Metricsmentioning

confidence: 99%

“…The governing equations are solved as a quasi-onedimensional PDE along the ray tube in the time-domain. The system is solved numerically using a second-order finite-difference discretization with operator splitting [23].…”

Section: Atmospheric Propagation and Noise Metricsmentioning

confidence: 99%

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Cart3D Simulations for the Second AIAA Sonic Boom Prediction Workshop

Anderson

Aftosmis

Nemec

2019

Journal of Aircraft

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Simulation results are presented for all test cases prescribed in the Second AIAA Sonic Boom Prediction Workshop. An inviscid, embedded-boundary Cartesian-mesh flow solver is used to compute "boom carpets"-pressure signatures at a range of specified distances and off-track angles. To accelerate the process, each boom carpet is automatically decomposed into several independent meshes, computed in parallel. Each mesh uses output-based mesh adaptation to affordably obtain credible results. This paper discusses improved Cartesian meshing strategies for boom prediction, including Mach alignment, azimuthal alignment, high-aspect-ratio cells, and adaptation functional weighting. The resulting nearfield signatures generally exhibit good convergence with mesh refinement. For an independent evaluation of our results, this study introduces a local error estimation procedure that highlights regions of the signatures most sensitive to mesh refinement. Results are also presented for the two atmospheric propagation test cases, which investigate the effects of atmospheric profiles on ground noise. Propagation is handled with an augmented Burgers' equation method (NASA's sBOOM), and ground noise metrics are compared.

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Section: Propagation Resultsmentioning

confidence: 99%

“…Atmospheric propagation for all submitted cases was performed with NASA's sBOOM code (v2.5) [23]. This propagation tool was specifically developed for boom analysis.…”

Section: Atmospheric Propagation and Noise Metricsmentioning

confidence: 99%

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Cart3D Simulations for the Second AIAA Sonic Boom Prediction Workshop

Anderson

Aftosmis

Nemec

2019

Journal of Aircraft

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“…In the waveform parameter method not only the pressure waveform at the near-field but also the several flight and atmospheric conditions can be considered. Recently, there is the prediction method based on the augmented Burgers equation 6 taking into account nonlinearity, thermoviscous absorption, molecular relaxation and so on. Moreover, the focused sonic boom generated by the convergence of the rays, due to the transonic acceleration, is simulated by using the lossy nonlinear Tricomi equation 7 and so on.…”

Section: Introductionmentioning

confidence: 99%

Full-Field Sonic Boom Simulation in Real Atmosphere

Yamashita

Suzuki

2014

32nd AIAA Applied Aerodynamics Conference

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As the sonic boom prediction method, the usefulness of the full-field simulation, in which the whole flow field including both the zone around a supersonic body and that on the ground is analyzed as a single computational domain, is assessed in this paper. The three dimensional Euler analyses including the gravity term have been numerically conducted to take into account the variation of the atmospheric properties with the altitude. The solutionadaptive structured grids are constructed by advancing the computational domain sector by sector for the grid lines to be aligned with the shock wave surfaces. The computations are made to reproduce the D-SEND#1 flight test by Japan Aerospace Exploration Agency (JAXA). The computational results are validated by comparing with the results of the waveform parameter method and the flight test data taken from the D-SEND database provided by JAXA. The maximum pressure rises of the present full-field simulations agree well with those of the waveform parameter method and the flight test data. Consequently, the present full-field simulations seem promising to analyze the natures of the sonic boom propagation in the realistic atmosphere model. Nomenclature E, F, G = flux vector at x, y, z coordinate E t = total energy g = acceleration of gravity h = altitude L LBM = length of body of Low Boom Model L NWM = length of body of N-Wave Model p = pressure p ∞ = atmospheric pressure Q = vector of conservative variables r = radial coordinate R = gas constant s 1 -s 5 = component in corrective term S C = corrective term for gravity term S G = gravity term t = time T 0 = atmospheric temperature at ground T ∞ = atmospheric temperature u, v, w = velocity in x, y, z direction x = streamwise coordinate y = vertical coordinate z = horizontal coordinate β = atmospheric temperature lapse rate Δr = distance in r direction θ = rotational coordinate ρ = density ρ ∞ = atmospheric density 1 Graduate Student, Department of Advanced Energy, 5-1-5 Kashiwanoha, yamashita@daedalus.k.u-tokyo.ac.jp, Student Member AIAA. 2 Professor, Department of Advanced Energy, 5-1-5 Kashiwanoha, kjsuzuki@k.u-tokyo.ac.jp, Senior Member AIAA. Downloaded by MONASH UNIVERSITY on August 1, 2015 | http://arc.aiaa.org |

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“…The exterior level is predicted by a propagation model of a single sonic boom signature from the aircraft to the ground. 11 The width of the bar illustrates the uncertainty in level due to factors such as atmospheric turbulence and reflections from terrain and nearby structures. The distribution of resulting interior metric levels, represented by the wide bar in the center, results from transmission through different structures.…”

Section: Notional Annoyance Model Based On Indoor Sound Fieldmentioning

confidence: 99%

Effects of indoor rattle sounds on annoyance caused by sonic booms

Rathsam

Loubeau

Klos

2015

The Journal of the Acoustical Society of America

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To expand national air transportation capabilities, NASA's Commercial Supersonic Technology Project is working to make supersonic flight practical for commercial passengers. As an aid in designing and certifying quiet supersonic aircraft, a noise metric is sought that will correspond to indoor annoyance caused by sonic booms, including the effects of indoor rattle sounds. This study examines how well several common aircraft noise metrics predict indoor annoyance based on the indoor and outdoor sound fields. The results suggest notional community annoyance models that include the effects of indoor rattle sounds.

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Advanced Sonic Boom Prediction Using the Augmented Burgers Equation

Cited by 156 publications

References 17 publications

Cart3D Simulations for the Second AIAA Sonic Boom Prediction Workshop

Cart3D Simulations for the Second AIAA Sonic Boom Prediction Workshop

Full-Field Sonic Boom Simulation in Real Atmosphere

Effects of indoor rattle sounds on annoyance caused by sonic booms

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