基于新型块-涡度涡流法的大涡模拟流入湍流发生器:在高层建筑风效应中的应用

Lian Shen, Yan Han, Peijie Wang, Pinhan Zhou, C. S. Cai, Shuwen Deng
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摘要

精确模拟湍流风场是风能工程中的一项重大挑战。本研究提出了一种新颖的阻塞涡度方法,旨在克服传统湍流生成方法的局限性。通过在大涡模拟(LES)的入口边界叠加阻塞涡场,该方法可生成高精度和各向异性的湍流风场。为了验证所提方法的有效性,研究调查了高层建筑结构的风压,并与 LES 窄带合成随机流发生器 (NSRFG)、传统 LES 和 SST k-ω 湍流入口模型进行了对比分析。结果表明,所提出的方法能有效模拟大气边界层流动的湍流特性,包括涡旋结构和随机波动风场。与传统方法相比,湍流强度、瞬时涡度和湍流自平衡等风场特征具有明显优势。此外,与传统模型相比,LES 涡流法在模拟高层建筑平均风压和波动风压方面更为精确,更接近风洞试验结果。所提出的方法为生成具有各向异性特征的湍流风场提供了一种有效方法,可用于预测土木工程结构的风致响应。
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Inflow turbulence generator for large eddy simulation based on a novel block‐vorticity vortex method: Application on a tall building wind effect
Accurately simulating turbulent wind fields is a significant challenge in wind engineering. This study proposes a novel block‐vorticity method aimed at overcoming the limitations of traditional turbulence generation methods. By superimposing a blocked vortex field at the inlet boundary of large eddy simulation (LES), the proposed method enables the generation of highly precise and anisotropic turbulent wind fields. To validate the effectiveness of the proposed method, the study investigates wind pressures on a high‐rise building structure and performs a comparative analysis with LES narrowband synthesis random flow generator (NSRFG), traditional LES, and SST kω turbulence inlet models. The results demonstrate that the proposed method can effectively simulate turbulence characteristics of atmospheric boundary layer flow, including vortex structure and stochastic fluctuating wind field. Compared to traditional methods, the wind field characteristics of turbulence intensity, instantaneous vorticity, and turbulence self‐equilibrium had obvious advantages over traditional methods. Moreover, the LES vortex method is more accurate in simulating the mean wind pressure and fluctuating wind pressure of the high‐rise building compared to traditional models and is closer to the wind tunnel test results. The proposed method provides an effective approach for generating turbulent wind fields with anisotropic characteristics and can be used to predict the wind‐induced response of civil engineering structures.
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