High-fidelity simulations of the aeroacoustic environment of the VEGA launch vehicle at lift-off

被引:4
|
作者
Della Posta, Giacomo [1 ]
Martelli, Emanuele [3 ]
Stella, Fulvio [1 ]
Barbagallo, Daniele [2 ]
Neri, Agostino [2 ]
Salvadore, Francesco [4 ]
Bernardini, Matteo [1 ]
机构
[1] Sapienza Univ Rome, Via Eudossiana 18, I-00184 Rome, RM, Italy
[2] European Space Agcy, Via Galileo Galilei 1, I-00044 Frascati, RM, Italy
[3] Politecn Torino, Corso Duca Abruzzi 24, I-10129 Turin, TO, Italy
[4] CINECA, HPC Dept, Via Tizii 6-B, I-00185 Rome, RM, Italy
关键词
Aeroacoustics; Space launcher lift-off; Ignition; duct overpressure; Large eddy simulations; Immersed boundary method; GPU; CPU accelerated solver; IMMERSED BOUNDARY METHOD; WAVELET TRANSFORMS; NEAR-FIELD; IDENTIFICATION; DECOMPOSITION;
D O I
10.1016/j.compfluid.2023.105945
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The lift-off of space launch vehicles generates strong acoustic waves that interact in a complex and potentially dangerous way with the launch facility and the launcher itself. Engineering tools developed in the past to predict the strong acoustic radiation and the peak acoustic loads during the first seconds of the launch have a limited validity and are not able to provide reliable predictions. For this reason, in order to better identify the noise generation sources and to assess the effects of acoustic mitigation measures, it is fundamental to develop and validate more advanced computational models able to capture the transient flow induced by the ignition of the motors. In this work, we present high-fidelity 3D Large Eddy Simulations of the acoustic field produced by the lift-off of a realistic space launcher. A state-of-the-art, high-order, GPU accelerated, compressible solver is used to simulate the highly unsteady interaction of the exhaust plume from the launcher's nozzle with a realistic launch pad, whose geometry has been modelled by Immersed Boundary Method. The results obtained demonstrate the capability of our solver to provide accurate predictions compared to flight measurements of real configurations, despite the challenging scenario in terms of operating conditions and geometry. Moreover, wavelet analysis proves to be an appropriate tool to pinpoint and characterise the overpressure mechanisms that take place in the transient evolution of the flow.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] The Impact of High-fidelity Simulations on Medical Student Readiness
    Cole, Rebekah
    Egan, Sean J.
    Schwartz, James
    Rudinsky, Sherri L.
    MILITARY MEDICINE, 2023, 188 : 7 - 14
  • [32] PROPERTIES OF LIFT-OFF STRUCTURED HIGH-TC MICROBRIDGES
    HAUSER, B
    KLOPMAN, B
    BLANK, D
    ROGALLA, H
    IEEE TRANSACTIONS ON MAGNETICS, 1989, 25 (02) : 919 - 922
  • [33] Metal wire definition by high resolution imprint and lift-off
    Eisert, D
    Braun, W
    Kuhn, S
    Koeth, J
    Forchel, A
    MICROELECTRONIC ENGINEERING, 1999, 46 (1-4) : 179 - 181
  • [34] Performance evaluation methodology for multistage launch vehicles with high-fidelity modeling
    Pallone, Marco
    Pontani, Mauro
    Teofilatto, Paolo
    ACTA ASTRONAUTICA, 2018, 151 : 522 - 531
  • [35] Improving Confidence and Retention Through High-Fidelity Simulations
    Roth, Kaleigh
    JOGNN-JOURNAL OF OBSTETRIC GYNECOLOGIC AND NEONATAL NURSING, 2024, 53 (04): : S17 - S17
  • [36] Wheel lift-off and ride comfort of three-wheeled vehicle over bump
    Gawade, T.R.
    Mukherjee, S.
    Mohan, D.
    Journal of the Institution of Engineers (India): Mechanical Engineering Division, 2004, 85 (2 JUL.): : 78 - 87
  • [37] Practical High-Fidelity Sensing of the Sleep Environment in the Home
    Feustel, Clayton
    Shu, Nicolas
    Clifford, Gari
    Anderson, David
    Zimring, Craig
    PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2022, 2022, : 155 - 158
  • [38] Learning to Build High-Fidelity and Robust Environment Models
    Zhang, Weinan
    Yang, Zhengyu
    Shen, Jian
    Liu, Minghuan
    Huang, Yimin
    Zhang, Xing
    Tang, Ruiming
    Li, Zhenguo
    MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, 2021, 12975 : 104 - 121
  • [39] Dry-Epitaxial Lift-off for High Efficiency Solar Cells
    Farah, John
    Nicholson, John
    Thirunavukkarasu, Sekar
    Wasmer, Kilian
    2014 IEEE 40TH PHOTOVOLTAIC SPECIALIST CONFERENCE (PVSC), 2014, : 1796 - 1801
  • [40] Unique lift-off of droplet impact on high temperature nanotube surfaces
    Tong, Wei
    Qiu, Lu
    Jin, Jian
    Sun, Lidong
    Duan, Fei
    APPLIED PHYSICS LETTERS, 2017, 111 (09)