Aircraft System Noise Shielding Prediction with a Kirchhoff Integral Method

2017 ◽  
Author(s):  
Yueping Guo ◽  
Dennis S. Pope ◽  
Casey L. Burley ◽  
Russell H. Thomas
Keyword(s):  
Integral Method ◽  
System Noise ◽  
Noise Shielding ◽  
Aircraft System ◽  
Kirchhoff Integral

scholarly journals Numerical modeling of zero-offset laboratory data in a strong topographic environment: results for a spectral-element method and a discretized Kirchhoff integral method

2014 ◽  
Vol 27 (4) ◽  
pp. 391-399 ◽  
Author(s):  
Nathalie Favretto-Cristini ◽  
Anastasiya Tantsereva ◽  
Paul Cristini ◽  
Bjørn Ursin ◽  
Dimitri Komatitsch ◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Integral Method ◽  
Spectral Element Method ◽  
Laboratory Data ◽  
Spectral Element ◽  
Zero Offset ◽  
Kirchhoff Integral ◽  
Element Method

Aircraft System Noise of the NASA D8 Subsonic Transport Concept

2021 ◽  
pp. 1-15
Author(s):  
Ian A. Clark ◽  
Russell H. Thomas ◽  
Yueping Guo
Keyword(s):  
System Noise ◽  
Aircraft System

Analysis of Wave Scattering from a Viscoelastic Layer with Complex Shape

2017 ◽  
Vol 25 (03) ◽  
pp. 1750023 ◽  
Author(s):  
Nathalie Favretto-Cristini ◽  
Arkady M. Aizenberg ◽  
Bjørn Ursin ◽  
Paul Cristini ◽  
Anastasiya Tantsereva
Keyword(s):  
Numerical Modeling ◽  
Wave Scattering ◽  
Integral Method ◽  
Laboratory Experiments ◽  
Complex Shape ◽  
Laboratory Data ◽  
Viscoelastic Layer ◽  
Sharp Edges ◽  
Diffraction Effects ◽  
Kirchhoff Integral

The Discretized Kirchhoff Integral method has been recently tested against laboratory experiments using a model with surface curvatures and sharp edges generating wave diffraction effects. Comparisons between numerical and laboratory data have exhibited a good quantitative fit in terms of time arrivals and amplitudes, except in the vicinity of secondary shadow boundaries created by the interaction of the edges of some topographical structures. Following this work, the effect of multiple scattering and the surface curvatures on the wavefield is studied here, using the so-called diffraction attenuation coefficient, in order to define the cases where these effects may be neglected in the numerical modeling without loss of accuracy.

Uncertainty Analysis for Parametric Aircraft System Noise Prediction

2019 ◽  
Vol 56 (2) ◽  
pp. 529-544 ◽  
Author(s):  
Lothar Bertsch ◽  
Beat Schäffer ◽  
Sébastien Guérin
Keyword(s):  
Uncertainty Analysis ◽  
Noise Prediction ◽  
System Noise ◽  
Aircraft System

scholarly journals Numerical modeling of 3D zero-offset laboratory data by a discretized Kirchhoff integral method

Geophysics ◽  
2014 ◽  
Vol 79 (2) ◽  
pp. T77-T90 ◽  
Author(s):  
Anastasiya Tantsereva ◽  
Bjørn Ursin ◽  
Nathalie Favretto-Cristini ◽  
Paul Cristini ◽  
Arkady M. Aizenberg
Keyword(s):  
Integral Method ◽  
Structural Changes ◽  
Laboratory Data ◽  
Quality Data ◽  
Water Tank ◽  
Head Waves ◽  
In Situ Experiments ◽  
Zero Offset ◽  
Kirchhoff Integral

Accurate simulation of seismic wave propagation in complex geologic structures is of particular interest nowadays. However, difficulties arise for complex geologic structures with great and rapid structural changes, due, for instance, to the presence of shadow zones, head waves, diffractions and/or edge effects. Different methods have thus been developed and are typically tested on synthetic configurations against analytical solutions for simple canonical problems, reference methods, or via direct comparison with real data acquired in situ. Such approaches have limitations, especially if the propagation occurs in a complex environment with strong-contrast reflectors and surface irregularities because it can be difficult to determine the method that gives the best approximation of the “real” solution or to interpret the results obtained without an a priori knowledge of the geologic environment. An alternative approach for seismics consists in comparing the synthetic data with data obtained in laboratory experiments. In contrast to in situ experiments, high-quality data are collected under controlled conditions for a known configuration. In contrast with numerical experiments, laboratory data possess many of the characteristics of field data because real waves propagate through models with no numerical approximations. Our main purpose was to test the approach of using laboratory data as reference data for benchmarking 3D numerical methods and techniques using the setup that we have designed for this study. We performed laboratory-scaled measurements of zero-offset reflection of broadband pulses from a strong topographic environment immersed in a water tank. We compared these measurements with numerical data simulated by means of a discretized Kirchhoff integral method. The comparisons of synthetic and laboratory data indicated a good quantitative fit in terms of time arrivals and acceptable fit in amplitudes. Thus, the first step of the approach was successfully applied.

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