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RANS Modeling of Solitary Wave Propagation over A Submerged Rectangular Breakwater 被引量:1
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作者 Tai-Wen HSU Chin-Yen TSAI 《China Ocean Engineering》 SCIE EI 2009年第3期473-488,共16页
In this paper a series of numerical simulations are performed to investigate the vortex shedding mechanism for a solitary wave propagating over a submerged breakwater by use of Reynolds averaged Navier-Stokes (RAINS... In this paper a series of numerical simulations are performed to investigate the vortex shedding mechanism for a solitary wave propagating over a submerged breakwater by use of Reynolds averaged Navier-Stokes (RAINS) model combined with a k-ε model. Flows of different Reynolds numbers up to Re = 1.4 × 10^5 corresponding to varying incident wave heights are considered in which the characteristic fluid velocity is represented by the maximum horizontal velocity above the submerged breakwater. For the verification of the accuracy of the numerical model, the incident waves and the velocity field in the vicinity of the breakwater are compared with experimental data. The result shows that the model is capable of describing vortex shedding for a solitary wave propagating over a rectangular submerged breakwater. Key features of vortex generation, evolution and dissipation are investigated. It is found that the vortex shedding and their evolution due to separated boundary layer over the breakwater are strongly related to the Reynolds number. A considerable number of vortices and complicated vortex pattern are observed as the Reynolds number increases. 展开更多
关键词 rans modeling solitary wave vortex shedding submerged breakwater
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Applying extended intrinsic mean spin tensor in evolution algorithm for RANS modelling of turbulent rotating channel flow 被引量:2
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作者 Wei Zhang Bing Zhu +1 位作者 Hui Xu Yong Wang 《Journal of Hydrodynamics》 SCIE EI CSCD 2019年第6期1255-1258,共4页
We present a machine learning based method for RANS modeling in the rotating frame of reference(RFR).The extended intrinsic mean spin tensor(EIMST)is adopted in a novel expansion of the evolution algorithm,named multi... We present a machine learning based method for RANS modeling in the rotating frame of reference(RFR).The extended intrinsic mean spin tensor(EIMST)is adopted in a novel expansion of the evolution algorithm,named multi-dimensional gene expression programming(MGEP).Based on DNS data,a constrain free model for Reynolds stress is created by considering system rotating.The anisotropy behavior of Reynolds stress is considered in the model,which is then for the first time applied for modeling turbulent flow inside a rotating channel.Compared with the traditional RANS model,the new model can predict the non-symmetric profile of Reynolds stress.Meanwhile,the Taylor-Gortler vortex is captured in our simulations with the new model.It is demonstrated that the application of EIMST in MGEP can be successfully adopted for RANS modeling in the RFR. 展开更多
关键词 Extended intrinsic mean spin tensor rans modeling rotating frame of reference gene expression programming
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Assessment of the predictive capability of RANS models in simulating mean-dering open channel flows 被引量:4
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作者 周建银 邵学军 +1 位作者 王虹 假冬冬 《Journal of Hydrodynamics》 SCIE EI CSCD 2017年第1期40-51,共12页
The predictive capability of Reynolds-averaged numerical simulation (RANS) models is investigated by simulating the flow in meandering open channel flumes and comparing the obtained results with the measured data. T... The predictive capability of Reynolds-averaged numerical simulation (RANS) models is investigated by simulating the flow in meandering open channel flumes and comparing the obtained results with the measured data. The flow structures of the two experiments are much different in order to get better insights. Two eddy viscosity turbulence models and different wall treatment methods are tested. Comparisons show that no essential difference exists among the predictions. The difference of turbulence models has a limited effect, and the near wall refinement improves the predictions slightly. Results show that, while the longitudinal velo- cities are generally well predicted, the predictive capability of the secondary flow is largely determined by the complexity of the flow structure. In Case 1 of a simple flow structure, the secondary flow velocity is reasonably predicted. In Case 2, consisting of sharp curved consecutive reverse bends, the flow structure becomes complex after the first bend, and the complex flow structure leads to the poor prediction of the secondary flow. The analysis shows that the high level of turbulence anisotropy is related with the boundary layer separation, but not with the flow structure complexity in the central area which definitely causes the poor prediction of RANS models. The turbulence model modifications and the wall treatment methods barely improve the predictive capability of RANS models in simulating complex flow structures. 展开更多
关键词 rans model secondary flows boundary layer separation turbulence model meandering channel near-wall treatment
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RANS simulations of the U and V grooves effect in the subcritical flow over four rotated circular cylinders
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作者 ALONZO-GARCIA A. GUTIERREZ-TORRES C.del C. +3 位作者 JIMENEZ BERNAL J.A. MOLLINEDO-PONCE de LEON H.R. MARTINEZ-DELGADILLO S.A. BARBOSA-SALDANA J.G. 《Journal of Hydrodynamics》 SCIE EI CSCD 2015年第4期569-578,共10页
This paper presents a CFD study about the effect of the V and U grooves in the flow over four cylinders in diamond shape configuration at subcritical flow conditions(Re= 41 000). The k- ε Realizable turbulence mode... This paper presents a CFD study about the effect of the V and U grooves in the flow over four cylinders in diamond shape configuration at subcritical flow conditions(Re= 41 000). The k- ε Realizable turbulence model was implemented to fully structured hexahedral grids with near-wall refinements. Results showed that the numerical model was able to reproduce the impinging flow pattern and the repulsive forces present in the lateral cylinders of the smooth cylinder array. As a consequence of the flow alignment induced by the grooves, a jet-flow is formed between the lateral cylinders, which could cause an important vortex induced vibration effect especially in the rear cylinder. The magnitudes of the shear stresses at the valleys and peaks for the V grooved cylinders were lower than those of the U grooved cylinders, but the separation points were delayed due the U grooves presence. It is discussed the presence of a blowing effect caused by counter-rotating eddies located near the grooves peaks that cause a decrease of the shear stresses in the valleys, and promote them at the peaks. 展开更多
关键词 rans model grooved cylinder four cylinders subcritical flow impinging flow
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Turbulence modelling of the aerodynamic interaction ofOGV wakes and diffuser flow 被引量:1
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作者 Page Gary McGuirk Jim 《航空动力学报》 EI CAS CSCD 北大核心 2011年第10期2302-2312,共11页
Different turbulence closures were used to predict the flow interaction between the wakes created by compressor outlet guide vanes(OGVs) and a downstream annular pre-diffuser.Two statistical turbulence models were tes... Different turbulence closures were used to predict the flow interaction between the wakes created by compressor outlet guide vanes(OGVs) and a downstream annular pre-diffuser.Two statistical turbulence models were tested based on the classical Reynolds-averaged Navier-Stokes(RANS) approach.Both high-Re and low-Re(Launder-Sharma) versions of the k-ε model were applied to a selected test problem for OGV wake/diffuser flows.The test problem was specifically chosen because experimentally determined inlet conditions and both profile and performance data were available to validate predictions.A preliminary study was also reported of the more advanced large eddy simulation(LES) approach.The LES sub-grid-scale(SGS) model was the basic Smagorinsky eddy viscosity assumption,with a Van-Driest damping function for improved capture of near-wall viscous behaviour.Comparison between the two RANS models showed little difference in terms of velocity contours at OGV trailing edge and diffuser exit.In terms of overall diffuser performance(static pressure recovery and total pressure loss coefficients),the high-Re model was shown to agree well with experimental data.The preliminary LES study indicates the highly unsteady character of the OGV wake flow,but requires improved treatment of inlet conditions. 展开更多
关键词 outlet guide vane(OGV) wakes diffuser flow interaction Reynolds-averaged Navier-Stokes(rans) modelling large eddy simulation(LES) modelling
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神经网络增强SED-SL建模应用于翼型绕流湍流计算
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作者 黄文霄 刘溢浪 +2 位作者 毕卫涛 高毅卓 陈军 《Acta Mechanica Sinica》 SCIE EI CAS 2024年第3期72-86,共15页
本文采用SED-SL-RBF的新型建模方法,利用有限NACA机翼的空气动力学数据增强了SED-SL(壁湍流的结构系综动力学-应力长)模型,构建了机翼上湍流边界层的多层结构(MLS),并利用机器学习从实验数据中重建模型参数.该方法应用于九种不同类型的N... 本文采用SED-SL-RBF的新型建模方法,利用有限NACA机翼的空气动力学数据增强了SED-SL(壁湍流的结构系综动力学-应力长)模型,构建了机翼上湍流边界层的多层结构(MLS),并利用机器学习从实验数据中重建模型参数.该方法应用于九种不同类型的NACA机翼上的湍流,具有广泛的雷诺数和攻角范围.研究采用RBF(径向基函数)神经网络重建模型参数(l^(∞)_(0)和y^(∞)_(buf)),并将其应用于SED-SL的CFD数值计算.相较Menter SST湍流模型,SED-SL-RBF模型提升了在同样几何形状和流动条件下升力和阻力系数的预测精度.预测升力系数C_(L)的精确度超过了95%,而预测阻力系数C_(D)的误差则小于6 count.神经网络增强的SED-SL模型对压力场的预测精度也非常高.NACA 2421的MLS参数表现出不随攻角变化的相似性,并可视其为由雷诺数刻画的函数.该结果表明,NACA2421的MLS参数与失速前的攻角大小无关.该相似行为为模拟各种物理条件下的机翼流动提供了一种可行的方案.未来期望整合数据以揭示模型参数方面的模型内在差异,从而将SED-SL-RBF模型的适用性扩展到更广泛的流动场景. 展开更多
关键词 Structural ensemble dynamics rans model Turbulent boundary layer Machine learning Neural network
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