Rocket Noise Sources Localization Through a Tailored Beam-Forming Technique

Casalino, Damiano; Santini, Samuele; Genito, Mariano; Ferrara, Valerio

doi:10.2514/1.j051479

Cited by 19 publications

(5 citation statements)

References 16 publications

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“…In this work, the empirical models used within the design verification process have been fed with the experimental data acquired using a 1/20 scaled mock-up of the VEGA launcher equipped with the first-stage solid rocket motor P80 [12,20]. Two experimental campaigns have been carried out by Avio, ELV and ONERA in the framework of the VEGA program [20,21] and by Avio, ELV and CIRA in the framework of the Italian Space Agency-funded project CAST (Configurazioni AeroTermodinamiche per Sistemi di Trasporto spaziale, AeroThermodynamic Configuration for space Transport Systems) [12,22].The launcher mock-up has been conceived to reproduce the same acoustic environment generated by the full-scale VEGA first-stage solid rocket motor P80 at different launcher altitudes, from 0 to 75 m, corresponding to the first 4 s of the VEGA ascent trajectory during lift-off.…”

Section: Resulting Pressurementioning

confidence: 99%

Integrated Aero–Vibroacoustics: The Design Verification Process of Vega-C Launcher

et al. 2018

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Abstract:The verification of a space launcher at the design level is a complex issue because of (i) the lack of a detailed modeling capability of the acoustic pressure produced by the rocket; and (ii) the difficulties in applying deterministic methods to the large-scale metallic structures. In this paper, an innovative integrated design verification process is described, based on the bridging between a new semiempirical jet noise model and a hybrid finite-element method/statistical energy analysis (FEM/SEA) approach for calculating the acceleration produced at the payload and equipment level within the structure, vibrating under the external acoustic forcing field. The result is a verification method allowing for accurate prediction of the vibroacoustics in the launcher interior, using limited computational resources and without resorting to computational fluid dynamics (CFD) data. Some examples concerning the Vega-C launcher design are shown.

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Section: Resulting Pressurementioning

confidence: 99%

Integrated Aero–Vibroacoustics: The Design Verification Process of Vega-C Launcher

et al. 2018

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“…Similar to a procedure followed by Casalino et al, 16 the calculations were carried out in Matlab® using routine lsqnonneg that uses a non-negative least square process.…”

Section: Direct Spectral Estimatespectral Element Methods (Sem)mentioning

confidence: 99%

Acoustic sources identified using a microphone phased array during a rocket engine test

Panda,

Crowe,

Langford

et al. 2023

International Journal of Aeroacoustics

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A new phased array of microphones, suitable for the harsh environment of a rocket launch, was built and tested during a static firing of an RS-25 engine. It uses 70 piezo-resistive, dynamic pressure sensors, optimally distributed on a 10.5-ft diameter open frame dome structure and has a 200-ft long cable bundle to carry the signals to a weather-protected cabinet containing the data systems. The test stand was imaged using an infra-red camera and a visible wavelength camera, and the beamformed noise maps were superimposed on the photographs. The first-time data from a full-scale engine test stand showed that the plume deflector at the bottom of the engine was the primary noise source. The openings of the test stand around the nozzle exit were also found to be noise sources particularly at higher frequencies. The final goal is to utilize the array during NASA’s Artemis-II launch at Kennedy Space Center.

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“…Every additional equation corresponds to the slip condition with a local value of the surface normal. The FEM code Opty@B-GFD has been validated for a variety of canonical problems (Casalino, 2010(Casalino, , 2012Casalino et al, 2009Casalino et al, , 2012 involving acoustic propagation in uniform and non-uniform flows, and its complete description is outside the scope of the present work.…”

Section: A Reference Solutionmentioning

confidence: 99%

Efficient prediction of airborne noise propagation in a non-turbulent urban environment using Gaussian beam tracing method

Fuerkaiti

Casalino

Avallone

et al. 2023

The Journal of the Acoustical Society of America

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This paper presents a noise propagation approach based on the Gaussian beam tracing (GBT) method that accounts for multiple reflections over three-dimensional terrain topology and atmospheric refraction due to horizontal and vertical variability in wind velocity. A semi-empirical formulation is derived to reduce truncation error in the beam summation for receivers on the terrain surfaces. The reliability of the present GBT approach is assessed with an acoustic solver based on the finite element method (FEM) solutions of the convected wave equation. The predicted wavefields with the two methods are compared for different source-receiver geometries, urban settings, and wind conditions. When the beam summation is performed without the empirical formulation, the maximum difference is more than 40 dB; it drops below 8 dB with the empirical formulation. In the presence of wind, the direct and reflected waves can have different ray paths than those in a quiescent atmosphere, which results in less apparent diffraction patterns. A 17-fold reduction in computation time is achieved compared to the FEM solver. The results suggest that the present GBT acoustic propagation model can be applied to high-frequency noise propagation in urban environments with acceptable accuracy and better computational efficiency than full-wave solutions.

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Rocket Noise Sources Localization Through a Tailored Beam-Forming Technique

Cited by 19 publications

References 16 publications

Integrated Aero–Vibroacoustics: The Design Verification Process of Vega-C Launcher

Integrated Aero–Vibroacoustics: The Design Verification Process of Vega-C Launcher

Acoustic sources identified using a microphone phased array during a rocket engine test

Efficient prediction of airborne noise propagation in a non-turbulent urban environment using Gaussian beam tracing method

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