流体力学与飞行力学

基于黏性涡粒子/沙粒DEM的直升机沙盲建模

  • 谭剑锋 ,
  • 何龙 ,
  • 于领军 ,
  • 周国臣
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  • 1. 南京工业大学 机械与动力工程学院, 南京 211816;
    2. 中国空气动力研究与发展中心 低速空气动力研究所 旋翼空气动力学重点实验室, 绵阳 621000;
    3. 陆军航空兵学院 航空机械工程系, 北京 101123;
    4. 南京航空航天大学 航空学院, 南京 210016

收稿日期: 2021-03-19

  修回日期: 2021-04-22

  网络出版日期: 2022-09-05

基金资助

国家自然科学基金(12172165);江苏省自然科学基金(BK20211259);装备预研国防科技重点实验室基金(6142220180202);旋翼空气动力学重点实验室开放课题(RAL20200302)

Helicopter brownout modeling based on viscous vortex particle and sand particle DEM

  • TAN Jianfeng ,
  • HE Long ,
  • YU Lingjun ,
  • ZHOU Guochen
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  • 1. School of Mechanical and Power Engineering, Nanjing Tech University, Nanjing 211816, China;
    2. Rotor Aerodynamics Key Laboratory, Low Speed Aerodynamics Research Institute, China Aerodynamics Research and Development Center, Mianyang 621000, China;
    3. Department of Aeronautical Mechanical Engineering, Army Aviation Institute, Beijing 101123, China;
    4. College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received date: 2021-03-19

  Revised date: 2021-04-22

  Online published: 2022-09-05

Supported by

National Natural Science Foundation of China (12172165);Natural Science Foundation of Jiangsu Province (BK20211259);National Defense Science and Technology Key Laboratory Foundation of Equipment Preresearch (6142220180202);Rotor Aerodynamics Key Laboratory Foundation (RAL20200302)

摘要

直升机"沙盲(Brownout)"现象阻挡飞行员视线,导致直升机垂直起降、贴地飞行困难,甚至引发飞行事故。为研究直升机的"沙盲"特性,建立基于离散动力学的沙粒DEM(Discrete Element Method)模型和沙粒-流场耦合模型,嵌入旋翼黏性涡粒子和黏性地面气动模型,体现旋翼流场作用下沙粒移动、碰撞等特性,构建直升机"沙盲"现象计算方法。通过与美国陆军Yuma试验场EH-60L"沙盲"飞行试验结果对比,表明本文"沙盲"计算方法得到的"沙云"形状、扬起位置、高度、变化过程与飞行试验测量结果基本一致,且相比于基于沙粒夹带模型、沙粒起跳模型、速度罚值沙粒通量模型的拉格朗日沙粒跟踪方法,本文方法得到的"沙云"轮廓精度更高,与飞行测量结果更吻合。随后研究悬停和前飞状态"沙盲"形成特性,结果表明旋翼桨尖涡与地面干扰形成地面射流,推动沙粒移动堆积,诱发沙粒碰撞起跳,并在旋翼/地面干扰流场作用下扬起形成沙云,覆盖直升机前方视野,构成"沙盲"现象。

本文引用格式

谭剑锋 , 何龙 , 于领军 , 周国臣 . 基于黏性涡粒子/沙粒DEM的直升机沙盲建模[J]. 航空学报, 2022 , 43(8) : 125536 -125536 . DOI: 10.7527/S1000-6893.2021.25536

Abstract

Helicopter brownout blocks out pilots’ sight, leads to difficulty in landing and nap-of-the-earth flight, and induces flight accidents. A sand particle Discrete Element Method (DEM) model based on discrete dynamics and a sand particle-flow interaction model are established and coupled with the rotor viscous vortex particle model and viscous ground aerodynamic model to account for translation and collision of sand particles under the effect of the rotor flow field, and an analysis method of helicopter brownout is then proposed to analyze the characteristics of helicopter brownout. The flight test of EH-60L brownout in the US Army Yuma Proving Ground is used for comparison. It is shown that the predicted shape, position and height of uplift, process of the sand cloud are consistent with those of the flight test. Compared with the Lagrangian dust cloud simulation based on splash entrainment, process of bombardment, particle flux and threshold velocity with assumption, the predicted profile of the sand cloud is more accurate, and in better agreement with the flight test result. Then, the processes of helicopter brownout in hover and forward flight are investigated. Results show that the wall jet induced by the rotor tip-vortex and ground interaction yields translation and sediment trapping of sand, producing bombardment ejection and saltation. Uplift of sediment induced by the flowfield generates dust cloud, and covers the front view of the helicopter, thus forming brownout.

参考文献

[1] Acquisition and Technology Programs Task Force (ATP TF). Department of defense aviation safety technologies report[R]. Washington, D.C.: Defense Safety Oversight Council, Office of the Under Secretary of Defense for Personnel and Readiness, 2009: 22-23.
[2] WHITEHOUSE G R, WACHSPRESS D A, QUACKENBUSH T R, et al. Exploring aerodynamic methods for mitigating brownout[C]//The American Helicopter Society 65th Annual Forum. Alexandria: AHS, 2009: 349-364.
[3] TRITSCHLER J K, SYAL M, CELI R, et al. A methodology for rotorcraft brownout mitigation using rotor design optimization[C]//The American Helicopter Society 66th Annual Forum. Alexandria: AHS, 2010: 1674-1690.
[4] WONG O D, TANNER P E. Photogrammetric measurements of an EH-60L brownout cloud[J]. Journal of the American Helicopter Society, 2016, 61(1): 1-10.
[5] SYDNEY A, LEISHMAN J G. Measurements of rotor/airframe interactions in ground effect over a sediment bed[C]//The American Helicopter Society 69th Annual Forum. Alexandria: AHS, 2013:1812-1836.
[6] MILLUZZO J I, LEISHMAN J G. Vortical sheet behavior in the wake of a rotor in ground effect[J]. AIAA Journal, 2016, 55(1): 24-35.
[7] WACHSPRESS D A, QUACKENBUSH T R, BOSCHITSCH A H. First-principles, free-vortex wake model for helicopters and tiltrotors[C]//The American Helicopter Society 59th Annual Forum. Alexandria: AHS, 2003: 307-330.
[8] WACHSPRESS D A, WHITEHOURSE G R, KELLER J D, et al. A high fidelity brownout model for real-time flight simulations and trainers[C]//The American Helicopter Society 65th Annual Forum. Alexandria: AHS, 2009: 1281-1304.
[9] ANDREA A D. Numerical analysis of unsteady vortical flows generated by a rotorcraft operating on ground: A first assessment of helicopter brownout[C]//The American Helicopter Society 65th Annual Forum. Alexandria: AHS, 2009: 423-446.
[10] KELLER J D, WHITEHOUSE G R, WACHSPRESS D A, et al. A physics-based model of rotorcraft brownout for flight simulation applications[C]//The American Helicopter Society 62nd Annual Forum. Alexandria: AHS, 2006: 1097-1107.
[11] SYAL M, LEISHMAN J G. Predictions of brownout dust clouds compared to photogrammetry measurements[J]. Journal of the American Helicopter Society, 2013, 58(2): 1-18.
[12] GOVINDARAJAN B, LEISHMAN J G. Predictions of rotor and rotor/airframe configurational effects on brownout dust clouds[C]//The American Helicopter Society 70th Annual Forum. Alexandria: AHS, 2014: 407-433.
[13] 胡健平, 徐国华, 史勇杰, 等. 基于CFD-DEM耦合数值模拟的全尺寸直升机沙盲形成机理[J]. 航空学报, 2020, 41(3): 123363. HU J P, XU G H, SHI Y J, et al. Formation mechanism of brownout in full-scale helicopter based on CFD-DEM couplings numerical simulation[J]. Acta Aeronautica et Astronautica Sinica, 2020, 41(3): 123363 (in Chinese).
[14] TAN J F, SUN Y M, BARAKOS G N. Vortex approach for downwash and outwash of tandem rotors in ground effect[J]. Journal of Aircraft, 2018, 55(6): 2491-2509.
[15] 谭剑锋, 周天熠, 王畅, 等. 旋翼地面效应的气动建模与特性[J]. 航空学报, 2019, 40(6): 122602. TAN J F, ZHOU T Y, WANG C, et al. Aerodynamic model and characteristics of rotor in ground effect[J]. Acta Aeronautica et Astronautica Sinica, 2019, 40(6): 122602 (in Chinese).
[16] TAN J F, CAI J G, BARAKOS G N, et al. Computational study on the aerodynamic interference between tandem rotors and nearby obstacles[J]. Journal of Aircraft, 2020, 57(3): 456-468.
[17] 谭剑锋, 王浩文, 吴超, 等. 基于非定常面元/黏性涡粒子混合法的旋翼/平尾非定常气动干扰[J]. 航空学报, 2014, 35(3): 643-656. TAN J F, WANG H W, WU C, et al. Rotor/empennage unsteady aerodynamic interaction with unsteady panel/viscous vortex particle hybrid method[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35(3): 643-656 (in Chinese).
[18] CUNDALL P A, STRACK O D L. A discrete numerical model for granular assemblies[J]. Géotechnique, 1979, 29(1): 47-65.
[19] MINDLIN R D, DERESIEWICZ H. Elastic spheres in contact under varying oblique forces[J]. Journal of Applied Mechanics, 1953, 20(3): 327-344.
[20] DI RENZO A, DI MAIO F P. Comparison of contact-force models for the simulation of collisions in DEM-based granular flow codes[J]. Chemical Engineering Science, 2004, 59(3): 525-541.
[21] LEE T E, LEISHMAN J G, RAMASAMY M. Fluid dynamics of interacting blade tip vortices with a ground plane[J]. Journal of the American Helicopter Society, 2010, 55(2): 22005-2200516.
[22] LAKSHMINARAYAN V K, KALRA T S, BAEDER J D. Detailed computational investigation of a hovering microscale rotor in ground effect[J]. AIAA Journal, 2013, 51(4): 893-909.
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