逆压梯度湍流边界层中大型结构对表面摩擦的影响

Min Yoon, Jinyul Hwang, H. Sung
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Large-scale streamwise velocity fluctuations (uL) is extracted by employing a long-wavelengthpass filter with a cut-off wavelength of 400. z    Two velocityvorticity correlations ( z v   and ), y w   which represent the advective vorticity transport and vortex stretching, respectively, are conditionally averaged with respect to uL to explore the extension of large-scale influences on the vortical motions. The velocity-vorticity correlations are directly related to the skin friction coefficient (Cf). The total Cf in the APG TBL is reduced by 28% from that in the ZPG TBL. The skin friction induced by z v   and y w   contribute negatively and positively to the total Cf respectively. In the APG TBL, the negative contribution of z v   decreases 29.6%, while the positive contribution of y w   slightly increases about 7.0%. Under the intense negative and positive uL ( 2 L u    and 2), L u    the contribution of z v   in the APG TBL is enhanced 8.33 and 2.72 times compared to the ZPG TBL. The skin friction induced by y w   increases 1.8 times only under 2 L u    in the APG TBL. The enhanced largescale motions in the outer region strongly modulate the vortical motions. In particular, the low-speed structures augment the contribution of the advective vorticity transport and the contribution of the vortex stretching is enhanced under the influence of the high-speed structures in the APG TBL. INTRODUCTION One of important features in APG TBLs is an increase of large scales in the outer region: e.g., a strong secondary peak in the premultiplied energy spectra of the streamwise velocity fluctuations (Harun et al. 2013; Lee 2017). Large-scale structures (LSSs), scale with Ο (δ), where δ is the boundary layer thickness, play an important role in the production of turbulent kinetic energy and the transport of momentum. LSSs contain about half of the turbulent kinetic energy and Reynolds shear stress in turbulent flows (Guala et al. 2006; Balakumar & Adrian 2007). LSSs with strong energy in the outer region extend to the near-wall region as footprints (Hutchins & Marusic 2007a). Hutchins & Marusic (2007b) observed that amplitudes of three velocity fluctuations and the Reynolds shear stress are attenuated under negative largescale fluctuations at y+ = 15 in the instantaneous fluctuating signals. To measure a degree of amplitude modulation (AM) influences, Mathis et al. (2009) introduced AM coefficient, which is the correlation between the large-scale fluctuations and filtered envelope of small-scale fluctuations. Using the AM coefficient, the AM influences of LSSs on small scales were investigated for the streamwise velocity fluctuations (Mathis et al. 2009) and for the cross-stream components (Talluru et al. 2014). Since the outer energy carried by the large scales is enhanced in APG TBLs, the degree of the AM for the streamwise components is enhanced compared to ZPG TBLs (Harun et al. 2013; Lee 2017). Given that the footprints of large-scales low-speed structures is narrower than that of the low-speed structure (Hwang et al. 2016), the influence of outer large-scale lowand high-speed structures is asymmetric in the near-all region (Agostini & Leschziner 2014; Hwang et al. 2016). This difference is related to the near-wall spanwise motions induced by the associated largescale circulations, which are congregative and dispersive (Hwang et al. 2016). Ganapathisubramani et al. (2012) statistically investigated the AM influences on the small-scale streamwise velocity fluctuations with respect to the strength of large scales and showed that the amplitude of the small scales in the near-wall region is attenuated or amplified under the negative of positive large scales, respectively. Since the near-wall vortical structures are related to the small-scale velocity fluctuations, the vortical motions could be affected by the outer large-scale structures and thus the large-scale influences on the vortical motions could be enhanced in APG TBLs. Recently, Yoon et al. (2016a) derives an expression for the skin friction coefficient (Cf), which quantifies the contributions of the velocity-vorticity correlations ( z v   and ) y w   to the skin friction. The correlations z v   and y w   are interpreted as the advective vorticity transport and vortex stretching (Tennekes & Lumley 1972). 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Sung\",\"doi\":\"10.1615/tsfp10.50\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Direct numerical simulation (DNS) of a turbulent boundary layer (TBL) subjected to adverse pressure gradient (APG) at Reτ = 834 is performed to investigate large-scale influences on vortical motions. For comparison, DNS data of a zero pressure gradient (ZPG) TBL at Reτ = 837 is analyzed. The spanwise energy spectra of the streamwise velocity fluctuations show that the large-scale energy above 400 z    (λz/δ ≈ 0.5) is significantly enhanced in the APG TBL. Large-scale streamwise velocity fluctuations (uL) is extracted by employing a long-wavelengthpass filter with a cut-off wavelength of 400. z    Two velocityvorticity correlations ( z v   and ), y w   which represent the advective vorticity transport and vortex stretching, respectively, are conditionally averaged with respect to uL to explore the extension of large-scale influences on the vortical motions. The velocity-vorticity correlations are directly related to the skin friction coefficient (Cf). The total Cf in the APG TBL is reduced by 28% from that in the ZPG TBL. The skin friction induced by z v   and y w   contribute negatively and positively to the total Cf respectively. In the APG TBL, the negative contribution of z v   decreases 29.6%, while the positive contribution of y w   slightly increases about 7.0%. Under the intense negative and positive uL ( 2 L u    and 2), L u    the contribution of z v   in the APG TBL is enhanced 8.33 and 2.72 times compared to the ZPG TBL. The skin friction induced by y w   increases 1.8 times only under 2 L u    in the APG TBL. The enhanced largescale motions in the outer region strongly modulate the vortical motions. In particular, the low-speed structures augment the contribution of the advective vorticity transport and the contribution of the vortex stretching is enhanced under the influence of the high-speed structures in the APG TBL. INTRODUCTION One of important features in APG TBLs is an increase of large scales in the outer region: e.g., a strong secondary peak in the premultiplied energy spectra of the streamwise velocity fluctuations (Harun et al. 2013; Lee 2017). Large-scale structures (LSSs), scale with Ο (δ), where δ is the boundary layer thickness, play an important role in the production of turbulent kinetic energy and the transport of momentum. LSSs contain about half of the turbulent kinetic energy and Reynolds shear stress in turbulent flows (Guala et al. 2006; Balakumar & Adrian 2007). LSSs with strong energy in the outer region extend to the near-wall region as footprints (Hutchins & Marusic 2007a). Hutchins & Marusic (2007b) observed that amplitudes of three velocity fluctuations and the Reynolds shear stress are attenuated under negative largescale fluctuations at y+ = 15 in the instantaneous fluctuating signals. To measure a degree of amplitude modulation (AM) influences, Mathis et al. (2009) introduced AM coefficient, which is the correlation between the large-scale fluctuations and filtered envelope of small-scale fluctuations. Using the AM coefficient, the AM influences of LSSs on small scales were investigated for the streamwise velocity fluctuations (Mathis et al. 2009) and for the cross-stream components (Talluru et al. 2014). Since the outer energy carried by the large scales is enhanced in APG TBLs, the degree of the AM for the streamwise components is enhanced compared to ZPG TBLs (Harun et al. 2013; Lee 2017). 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引用次数: 0

摘要

利用直接数值模拟(DNS)研究了Reτ = 834处紊流边界层(TBL)在逆压梯度(APG)作用下对涡旋运动的大规模影响。为了比较,分析了Reτ = 837处零压力梯度(ZPG) TBL的DNS数据。纵向速度波动的能谱表明,APG TBL中400 z以上的大尺度能量(λz/δ≈0.5)显著增强。采用截止波长为400的长波长通滤波器提取大尺度流向速度波动(uL)。z机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身机身。速度涡度关系与表面摩擦系数(Cf)直接相关。与ZPG TBL相比,APG TBL中的总Cf减少了28%。zv[]和yw[]引起的表面摩擦对总Cf的贡献分别为负和正。在APG TBL中,z v[]的负贡献降低了29.6%,而y w[]的正贡献增加了约7.0%。在强负、强正uL (2 L u+ +和2 L u+ +)作用下,zv+ +在APG TBL中的贡献比ZPG TBL分别提高了8.33倍和2.72倍。在APG TBL中,仅在2 L u±下,y w±<e:4>引起的表面摩擦增加了1.8倍。外区大尺度运动的增强强烈地调节了涡旋运动。特别是低速结构增强了平流涡量输送的贡献,高速结构增强了涡旋伸展的贡献。APG TBLs的一个重要特征是外区域大尺度的增加:例如,在沿流速度波动的预乘能谱中存在强次峰(Harun et al. 2013;李2017年)。尺度为Ο (δ)的大尺度结构(lss)在湍流动能的产生和动量的输运中起着重要作用,其中δ为边界层厚度。在湍流中,lss包含了大约一半的湍流动能和雷诺兹剪切应力(Guala et al. 2006;Balakumar & Adrian 2007)。在外区域具有强能量的lss以足迹的形式延伸到近壁区域(Hutchins & Marusic 2007a)。Hutchins & Marusic (2007b)观察到瞬时波动信号在y+ = 15处的负大尺度波动下,三种速度波动和雷诺剪应力的幅值衰减。为了衡量调幅(AM)影响的程度,Mathis等人(2009)引入了调幅系数,即大尺度波动与小尺度波动的滤波包络之间的相关性。利用调幅系数,研究了小尺度上lss对流向速度波动的调幅影响(Mathis et al. 2009)和对跨流分量的调幅影响(Talluru et al. 2014)。由于APG TBLs中大尺度携带的外部能量增强,因此与ZPG TBLs相比,流向分量的AM程度增强(Harun et al. 2013;李2017年)。考虑到大型低速结构的足迹比低速结构的足迹窄(Hwang et al. 2016),外部大型低速和高速结构的影响在几乎所有区域都是不对称的(Agostini & Leschziner 2014;Hwang et al. 2016)。这种差异与相关的大尺度环流引起的近壁展向运动有关,这些大尺度环流是聚集和弥散的(Hwang et al. 2016)。Ganapathisubramani et al.(2012)统计研究了AM相对于大尺度强度对小尺度流向速度波动的影响,发现近壁区小尺度振幅在负或正大尺度下分别衰减或放大。由于近壁涡旋结构与小尺度速度波动有关,因此涡旋运动可能受到外部大尺度结构的影响,从而增强了APG TBLs涡旋运动的大尺度影响。最近,Yoon等人(2016a)导出了表面摩擦系数(Cf)的表达式,该表达式量化了速度-涡度相关性(z v[]和y w[][])对表面摩擦的贡献。相关性z v[]和y w[][]被解释为平流涡度输送和涡旋伸展(Tennekes & Lumley 1972)。 流向涡旋结构是自我维持过程的主要组成部分,因为它们通过抬升过程产生或放大近壁条纹(Kim 2011)。虽然涡旋运动在近壁湍流中起着至关重要的作用,但大多数关于APG TBLs的研究都没有涉及lss对涡旋运动的影响。在APG TBL中,流方向
本文章由计算机程序翻译,如有差异,请以英文原文为准。
INFLUENCES OF LARGE-SCALE STRUCTURES ON SKIN FRICTION IN AN ADVERSE PRESSURE GRADIENT TURBULENT BOUNDARY LAYER
Direct numerical simulation (DNS) of a turbulent boundary layer (TBL) subjected to adverse pressure gradient (APG) at Reτ = 834 is performed to investigate large-scale influences on vortical motions. For comparison, DNS data of a zero pressure gradient (ZPG) TBL at Reτ = 837 is analyzed. The spanwise energy spectra of the streamwise velocity fluctuations show that the large-scale energy above 400 z    (λz/δ ≈ 0.5) is significantly enhanced in the APG TBL. Large-scale streamwise velocity fluctuations (uL) is extracted by employing a long-wavelengthpass filter with a cut-off wavelength of 400. z    Two velocityvorticity correlations ( z v   and ), y w   which represent the advective vorticity transport and vortex stretching, respectively, are conditionally averaged with respect to uL to explore the extension of large-scale influences on the vortical motions. The velocity-vorticity correlations are directly related to the skin friction coefficient (Cf). The total Cf in the APG TBL is reduced by 28% from that in the ZPG TBL. The skin friction induced by z v   and y w   contribute negatively and positively to the total Cf respectively. In the APG TBL, the negative contribution of z v   decreases 29.6%, while the positive contribution of y w   slightly increases about 7.0%. Under the intense negative and positive uL ( 2 L u    and 2), L u    the contribution of z v   in the APG TBL is enhanced 8.33 and 2.72 times compared to the ZPG TBL. The skin friction induced by y w   increases 1.8 times only under 2 L u    in the APG TBL. The enhanced largescale motions in the outer region strongly modulate the vortical motions. In particular, the low-speed structures augment the contribution of the advective vorticity transport and the contribution of the vortex stretching is enhanced under the influence of the high-speed structures in the APG TBL. INTRODUCTION One of important features in APG TBLs is an increase of large scales in the outer region: e.g., a strong secondary peak in the premultiplied energy spectra of the streamwise velocity fluctuations (Harun et al. 2013; Lee 2017). Large-scale structures (LSSs), scale with Ο (δ), where δ is the boundary layer thickness, play an important role in the production of turbulent kinetic energy and the transport of momentum. LSSs contain about half of the turbulent kinetic energy and Reynolds shear stress in turbulent flows (Guala et al. 2006; Balakumar & Adrian 2007). LSSs with strong energy in the outer region extend to the near-wall region as footprints (Hutchins & Marusic 2007a). Hutchins & Marusic (2007b) observed that amplitudes of three velocity fluctuations and the Reynolds shear stress are attenuated under negative largescale fluctuations at y+ = 15 in the instantaneous fluctuating signals. To measure a degree of amplitude modulation (AM) influences, Mathis et al. (2009) introduced AM coefficient, which is the correlation between the large-scale fluctuations and filtered envelope of small-scale fluctuations. Using the AM coefficient, the AM influences of LSSs on small scales were investigated for the streamwise velocity fluctuations (Mathis et al. 2009) and for the cross-stream components (Talluru et al. 2014). Since the outer energy carried by the large scales is enhanced in APG TBLs, the degree of the AM for the streamwise components is enhanced compared to ZPG TBLs (Harun et al. 2013; Lee 2017). Given that the footprints of large-scales low-speed structures is narrower than that of the low-speed structure (Hwang et al. 2016), the influence of outer large-scale lowand high-speed structures is asymmetric in the near-all region (Agostini & Leschziner 2014; Hwang et al. 2016). This difference is related to the near-wall spanwise motions induced by the associated largescale circulations, which are congregative and dispersive (Hwang et al. 2016). Ganapathisubramani et al. (2012) statistically investigated the AM influences on the small-scale streamwise velocity fluctuations with respect to the strength of large scales and showed that the amplitude of the small scales in the near-wall region is attenuated or amplified under the negative of positive large scales, respectively. Since the near-wall vortical structures are related to the small-scale velocity fluctuations, the vortical motions could be affected by the outer large-scale structures and thus the large-scale influences on the vortical motions could be enhanced in APG TBLs. Recently, Yoon et al. (2016a) derives an expression for the skin friction coefficient (Cf), which quantifies the contributions of the velocity-vorticity correlations ( z v   and ) y w   to the skin friction. The correlations z v   and y w   are interpreted as the advective vorticity transport and vortex stretching (Tennekes & Lumley 1972). The streamwise vortical structures are a major part of the self-sustaining process since they create or amplify the near-wall streaks via the lift-up process (Kim 2011). Although the vortical motions play a crucial role in near-wall turbulence, most studies in the APG TBLs have not dealt with the influences of LSSs on the vortical motions. In the APG TBL, the streamwise
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