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Moving computational multi-domain method for modelling the flow interaction of multiple moving objects 多运动物体流动相互作用的运动计算多域方法
IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2021-10-05 DOI: 10.21203/rs.3.rs-907888/v1
Momoha Nishimura, M. Yamakawa, S. Asao, Seiichi Takeuchi, Mehdi Badri Ghomizad
This study proposes a method for modelling the flow interaction of multiple moving objects where the flow field variables are communicated between multiple separate moving computational domains. Instead of using the conventional approach with a single fixed computational domain covering the whole flow field, this method advances the moving computational domain (MCD) method in which the computational domain itself moves in line with the motions of an object inside. The computational domains created around each object move independently, and the flow fields of each domain interact where the flows cross. This eliminates the spatial restriction for simulating multiple moving objects. Firstly, a shock tube test verifies that the overset implementation and grid movement do not adversely affect the results and that there is communication between the grids. A second test case is conducted in which two spheres are crossed, and the forces exerted on one object due to the other’s crossing at a short distance are calculated. The results verify the reliability of this method and show that it is applicable to the flow interaction of multiple moving objects.
本研究提出了一种模拟多运动物体流动相互作用的方法,其中流场变量在多个独立的运动计算域之间传递。该方法取代了传统的单一固定计算域覆盖整个流场的方法,提出了移动计算域(moving computational domain, MCD)方法,该方法使计算域本身随流场内部物体的运动而运动。围绕每个对象创建的计算域独立移动,并且每个域的流场在流交叉处相互作用。这消除了模拟多个移动对象的空间限制。首先,激波管试验验证了超调实现和网格移动对结果没有不利影响,并且网格之间存在通信。第二个测试用例是两个球体交叉,计算其中一个物体在近距离交叉时对另一个物体的作用力。结果验证了该方法的可靠性,表明该方法适用于多运动物体的流动相互作用。
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引用次数: 1
Assessment of conventional and air-jet wheel deflectors for drag reduction of the DrivAer model 传统和喷气车轮偏转器对驾驶员模型减阻效果的评估
IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2021-10-01 DOI: 10.1186/s42774-021-00086-7
Kaloki L. Nabutola, S. Boetcher
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引用次数: 2
A characteristic-featured shock wave indicator for simulating high-speed inviscid flows on 3D unstructured meshes 一种用于模拟三维非结构网格上高速无粘性流动的特征冲击波指示器
IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2021-09-09 DOI: 10.1186/s42774-021-00084-9
Yiwei Feng, Tiegang Liu, Xiaofeng He, Bingsheng Zhang, Kun Wang
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引用次数: 0
Extension of the KDO turbulence/transition model to account for roughness KDO湍流/过渡模式的扩展以考虑粗糙度
IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2021-08-20 DOI: 10.21203/rs.3.rs-818524/v1
Chunfei Fang, Jinglei Xu
Wall roughness significantly influences both laminar-turbulent transition process and fully developed turbulence. A wall roughness extension for the KDO turbulence/transition model is developed. The roughness effect is introduced via the modification of the k and ν t boundary conditions. The wall is considered to be lifted to a higher position. The difference between the original position and the higher position, named as equivalent roughness height, is linked to the actual roughness height. The ratio between the two heights is determined by reasoning. With such a roughness extension, the predictions of the KDO RANS model agree well with the measurements of turbulent boundary layer with a sand grain surface, while the KDO transition model yields accurate cross-flow transition predictions of flow past a 6:1 spheroid.
壁面粗糙度对层流-湍流过渡过程和充分发展的湍流都有显著影响。建立了KDO湍流/过渡模型的壁面粗糙度扩展。通过对k和ν t边界条件的修改,引入了粗糙度效应。墙被认为被提升到更高的位置。原始位置与较高位置之间的差称为等效粗糙度高度,与实际粗糙度高度相关联。两个高度之间的比例是由推理决定的。在这样的粗糙度扩展下,KDO RANS模型的预测结果与具有砂粒表面的湍流边界层的测量结果吻合良好,而KDO过渡模型对流过6:1椭球面的流动进行了准确的横流过渡预测。
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引用次数: 2
Predicting running time of aerodynamic jobs in HPC system by combining supervised and unsupervised learning method 结合有监督和无监督学习方法预测HPC系统气动作业运行时间
IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2021-08-01 DOI: 10.1186/s42774-021-00077-8
Hao Wang, Yiqin Dai, Jie Yu, Yong Dong
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引用次数: 1
Data-driven nonlinear constitutive relations for rarefied flow computations 稀疏流计算中数据驱动的非线性本构关系
IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2021-07-27 DOI: 10.21203/rs.3.rs-735668/v1
Wenwen Zhao, Lijian Jiang, Shaobo Yao, Weifang Chen
To overcome the defects of traditional rarefied numerical methods such as the Direct Simulation Monte Carlo (DSMC) method and unified Boltzmann equation schemes and extend the covering range of macroscopic equations in high Knudsen number flows, data-driven nonlinear constitutive relations (DNCR) are proposed first through the machine learning method. Based on the training data from both Navier-Stokes (NS) solver and unified gas kinetic scheme (UGKS) solver, the map between responses of stress tensors and heat flux and feature vectors is established after the training phase. Through the obtained off-line training model, new test cases excluded from training data set could be predicated rapidly and accurately by solving conventional equations with modified stress tensor and heat flux. Finally, conventional one-dimensional shock wave cases and two-dimensional hypersonic flows around a blunt circular cylinder are presented to assess the capability of the developed method through various comparisons between DNCR, NS, UGKS, DSMC and experimental results. The improvement of the predictive capability of the coarse-graining model could make the DNCR method to be an effective tool in the rarefied gas community, especially for hypersonic engineering applications.
为了克服直接模拟蒙特卡罗(DSMC)方法和统一的玻尔兹曼方程格式等传统稀疏数值方法的缺陷,扩大高克努森数流中宏观方程的覆盖范围,首先通过机器学习方法提出了数据驱动的非线性本构关系(DNCR)。基于Navier-Stokes(NS)求解器和统一气体动力学方案(UGKS)求解器的训练数据,在训练阶段后建立了应力张量与热通量和特征向量的响应图。通过所获得的离线训练模型,通过求解具有修正应力张量和热通量的传统方程组,可以快速准确地预测从训练数据集中排除的新测试用例。最后,通过对DNCR、NS、UGKS、DSMC和实验结果的各种比较,给出了常规的一维冲击波情况和钝圆柱周围的二维高超音速流动,以评估所开发方法的能力。粗颗粒化模型预测能力的提高可以使DNCR方法成为稀薄气体群落中的一种有效工具,特别是在高超音速工程应用中。
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引用次数: 0
Optimized sparse polynomial chaos expansion with entropy regularization 熵正则化优化稀疏多项式混沌展开
IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2021-07-27 DOI: 10.21203/rs.3.rs-729114/v1
SiJie Zeng, X. Duan, Jiangtao Chen, Liang Yan
Sparse Polynomial Chaos Expansion (PCE) is widely used in various engineering fields to quantitatively analyse the influence of uncertainty, while alleviating the problem of dimensionality curse. However, current sparse PCE techniques focus on choosing features with the largest coefficients, which may ignore uncertainties propagated with high order features. Hence, this paper proposes the idea of selecting polynomial chaos basis based on information entropy, which aims to retain the advantages of existing sparse techniques while considering entropy change as output uncertainty. A novel entropy-based optimization method is proposed to update the state-of-the-art sparse PCE models. This work further develops an entropy-based synthetic sparse model, which has higher computational efficiency. Two benchmark functions and a computational fluid dynamics (CFD) experiment are used to compare the accuracy and efficiency between the proposed method and classical methods. The results show that entropy-based methods can better capture the features of uncertainty propagation, improving accuracy and reducing sparsity while avoiding over-fitting problems.
稀疏多项式混沌展开(PCE)被广泛应用于各种工程领域,用于定量分析不确定性的影响,同时缓解维数诅咒问题。然而,当前的稀疏PCE技术专注于选择具有最大系数的特征,这可能会忽略高阶特征传播的不确定性。因此,本文提出了基于信息熵选择多项式混沌基的思想,旨在保留现有稀疏技术的优势,同时将熵的变化视为输出的不确定性。提出了一种新的基于熵的优化方法来更新现有的稀疏PCE模型。这项工作进一步发展了一个基于熵的合成稀疏模型,该模型具有更高的计算效率。使用两个基准函数和计算流体动力学(CFD)实验来比较所提出的方法与经典方法之间的准确性和效率。结果表明,基于熵的方法可以更好地捕捉不确定性传播的特征,在避免过拟合问题的同时提高精度和减少稀疏性。
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引用次数: 1
Effects of mesh loop modes on performance of unstructured finite volume GPU simulations 网格循环模式对非结构化有限体积GPU模拟性能的影响
IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2021-07-22 DOI: 10.1186/s42774-021-00073-y
Yue Weng, Xi Zhang, Xiaohu Guo, Xianwei Zhang, Yutong Lu, Yang Liu
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引用次数: 1
Turbulent flow simulation of a single-blade Magnus rotor 单叶片Magnus转子的湍流模拟
IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2021-07-12 DOI: 10.1186/s42774-021-00068-9
X. Bai, C. Ji, P. Grant, N. Phillips, U. Oza, E. Avital, J. Williams
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引用次数: 0
An efficient algorithm of the unified stochastic particle Bhatnagar-Gross-Krook method for the simulation of multi-scale gas flows 模拟多尺度气体流动的统一随机粒子Bhatnagar-Gross-Krook方法的一种有效算法
IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2021-07-05 DOI: 10.1186/s42774-021-00069-8
F. Fei, Yang Ma, Jie Wu, Jun Zhang
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引用次数: 1
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