Inflow turbulence generator for large eddy simulation based on a novel block‐vorticity vortex method: Application on a tall building wind effect

Author:

Shen Lian12,Han Yan2,Wang Peijie2,Zhou Pinhan2,Cai C. S.3,Deng Shuwen4

Affiliation:

1. School of Civil Engineering Changsha University Changsha China

2. Hunan Province Research Center for Safety Control Technology and Equipment of Bridge Engineering Changsha University of Science & Technology Changsha China

3. School of transportation Southeast University Nanjing China

4. College of Water Resource & Civil Engineering Hunan Agriculture University Changsha China

Abstract

AbstractAccurately 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.

Funder

Training Program for Excellent Young Innovators of Changsha

Publisher

Wiley

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