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International Journal of Computational Fluid Dynamics最新文献

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High-Order WENO-based Semi-Implicit Projection Method for Incompressible Turbulent Flows: Development, Accuracy, and Reynolds Number Effects 用于不可压缩湍流的基于 WENO 的高阶半隐式投影法:开发、精度和雷诺数效应
IF 1.3 4区 工程技术 Q4 MECHANICS Pub Date : 2024-01-05 DOI: 10.1080/10618562.2023.2289445
Thi Quynh Nguyen, Hyung Taek Ahn, Christos Kavouklis
A novel high-order projection method is presented in this study for the simulation of incompressible turbulent flows, utilising weighted essentially non-oscillatory (WENO) schemes. Spatial discreti...
本研究提出了一种新颖的高阶投影法,利用加权基本非振荡(WENO)方案模拟不可压缩湍流。空间离散的...
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引用次数: 0
Numerical Investigation of Gasper Air Jet Dynamics in an Aircraft Cabin 飞机机舱内加斯帕气流动力学数值研究
IF 1.3 4区 工程技术 Q4 MECHANICS Pub Date : 2024-01-03 DOI: 10.1080/10618562.2023.2297944
Vinod Kumar Srinivasa, Subhaschandra Kattimani, Ganga Reddy C.
Computational fluid dynamics (CFD) is used to analyze the jet interaction of side-vent and gaspers and their influence on cough jets in aircraft cabins. A control device is designed and proposed to...
利用计算流体动力学(CFD)分析了侧风口和喘振器的喷流相互作用及其对飞机客舱内咳嗽喷流的影响。设计并提出了一种控制装置,以...
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引用次数: 0
Time-Accurate Solution of Unsteady Flows in an Implicit Solver Using Block LUSGS Method 使用块状 LUSGS 方法在隐式求解器中对非稳态流进行时间精确求解
IF 1.3 4区 工程技术 Q4 MECHANICS Pub Date : 2023-12-27 DOI: 10.1080/10618562.2023.2181958
M. R. Nived, Poreddy Pavan Kumar Reddy, Vinayak Eswaran
Implicit solvers based on the lower-upper symmetric Gauss–Seidel (LUSGS) method are widely used in Computational Fluid Dynamics (CFD) codes to obtain steady-state solutions using large false-transi...
基于下-上对称高斯-赛德尔(LUSGS)方法的隐式求解器被广泛应用于计算流体动力学(CFD)代码中,利用大误差求解稳态解。
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引用次数: 0
Turbulence Modelling for SWTBLI with Expansion Wave Interference Inside Scramjet Inlets 带有 Scramjet 入口内膨胀波干扰的 SWTBLI 湍流建模
IF 1.3 4区 工程技术 Q4 MECHANICS Pub Date : 2023-12-27 DOI: 10.1080/10618562.2023.2195642
Kavan M. Prabtani, Rajesh Ranjan
An accurate prediction of the flowfield inside the scramjet inlet/isolator is crucial for a stable and reliable aerodynamic design. However, the complex phenomena such as shock wave-expansion wave ...
准确预测扰流式喷气发动机入口/隔离器内的流场对于稳定可靠的气动设计至关重要。然而,冲击波-膨胀波等复杂现象会对气动设计产生影响。
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引用次数: 0
A High-Order Compact Gas-Kinetic Scheme in a Rotating Coordinate Frame and on Sliding Mesh 旋转坐标系和滑动网格中的高阶紧凑气体动力学方案
IF 1.3 4区 工程技术 Q4 MECHANICS Pub Date : 2023-12-27 DOI: 10.1080/10618562.2023.2178647
Yue Zhang, Xing Ji, Kun Xu
This paper extends the high-order compact gas-kinetic scheme (CGKS) to flow simulations on a rotating coordinate frame. The kinetic equation with the inclusion of centrifugal and Coriolis accelerat...
本文将高阶紧凑气体动力学方案(CGKS)扩展到旋转坐标系上的流动模拟。动力学方程包含离心加速度和科里奥利加速度。
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引用次数: 0
Adjoint Based Aerodynamic Shape Optimisation Using Kinetic Meshfree Method 使用无网格动力学方法进行基于交点的空气动力学形状优化
IF 1.3 4区 工程技术 Q4 MECHANICS Pub Date : 2023-12-27 DOI: 10.1080/10618562.2023.2230897
Keshav S. Malagi, Nischay R. Mamidi, Nemili Anil, Vasudev Ramesh, Suresh M. Deshpande
The gradient based optimisation algorithms combined with the finite volume or element based adjoint approaches have been very successful in aerodynamic shape optimization (ASO). The meshfree least ...
基于梯度的优化算法与基于有限体积或元素的辅助方法相结合,在空气动力学形状优化(ASO)方面取得了巨大成功。无网格最小...
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引用次数: 0
Multi-Viscosity Physics-Informed Neural Networks for Generating Ultra High Resolution Flow Field Data 用于生成超高分辨率流场数据的多粘度物理信息神经网络
IF 1.3 4区 工程技术 Q4 MECHANICS Pub Date : 2023-12-21 DOI: 10.1080/10618562.2023.2295286
Sen Zhang, Xiao-Wei Guo, Chao Li, Ran Zhao, Canqun Yang, Wei Wang, Yanxu Zhong
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引用次数: 0
Identification of Oil and Gas Two-Phase Flow Patterns in Aero-Engine Bearing Chambers Based on Kriging Method 基于Kriging方法的航空发动机轴承室油气两相流型识别
IF 1.3 4区 工程技术 Q4 MECHANICS Pub Date : 2023-12-05 DOI: 10.1080/10618562.2023.2289440
Jingkui Li, Binjie Qu, Yuming Qian, Zhibin Liu, Zhandong Li
The identification of the flow pattern within the bearing chamber's oil and gas two-phase flow is crucial for its lubrication design. Aiming at the lack of accuracy and universality of the current ...
轴承腔内油气两相流流态的识别对其润滑设计至关重要。针对目前…
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引用次数: 0
Investigation of Low and High-Speed Fluid Dynamics Problems Using Physics-Informed Neural Network 利用物理信息神经网络研究低速和高速流体动力学问题
IF 1.3 4区 工程技术 Q4 MECHANICS Pub Date : 2023-11-30 DOI: 10.1080/10618562.2023.2285330
Anubhav Joshi, Alexandros Papados, Rakesh Kumar
In this work, we have employed physics-informed neural networks (PINNs) to solve a few fluid dynamics problems at low and high speeds, with a focus on the latter. For high-speed fluid dynamics prob...
在这项工作中,我们使用了物理信息神经网络(pinn)来解决低速和高速下的一些流体动力学问题,重点是后者。对于高速流体动力学问题…
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引用次数: 0
A Shock Sensor Based on Image Segmentation with Application to a Hybrid Central/WENO Scheme 基于图像分割的冲击传感器及其在中央/WENO混合方案中的应用
4区 工程技术 Q4 MECHANICS Pub Date : 2023-10-18 DOI: 10.1080/10618562.2023.2267484
Nasreddine Bouguellab, Smail Khalfallah, Boubakr Zebiri, Nassim Brahmi
A novel shock sensor based on image segmentation is proposed for flows with shock or detonation waves. It consists of a function computed based on the numerical Schliren formulation, which is the absolute value of the density gradient. A fast segmentation technique is applied to the sensor function to determine the threshold of the sensor. The candidate troubled cells detected via the computed threshold are further filtered by a Ducros sensor and multiresolution analysis to exclude turbulent zones from the troubled cells. The proposed sensor is applied to a finite difference hybrid scheme, tested for several cases, and compared with other sensors, namely the Ducros sensor, the multiresolution analysis, and WENO- and TENO-based sensors. The results show that the proposed sensor detects the shock and detonation waves more accurately than the other sensors with fewer cells and reduces the computational time of the hybrid scheme.
提出了一种新的基于图像分割的激波或爆震波流冲击传感器。它由一个基于数值Schliren公式计算的函数组成,该函数是密度梯度的绝对值。将快速分割技术应用于传感器函数,确定传感器的阈值。通过计算的阈值检测到的候选扰动细胞进一步通过Ducros传感器和多分辨率分析进行过滤,以排除扰动细胞中的湍流区。将该传感器应用于有限差分混合方案,测试了几种情况,并与其他传感器进行了比较,即Ducros传感器、多分辨率分析传感器以及基于WENO和teno的传感器。结果表明,该传感器对激波和爆震波的检测精度高于其他单元数较少的传感器,减少了混合方案的计算时间。关键词:冲击传感器激波爆轰波混合方案差分法weno图像分割披露声明作者未报告潜在利益冲突。
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引用次数: 0
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International Journal of Computational Fluid Dynamics
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