Verification and evaluation on wind loading of large eddy simulation by the improved subgrid scale model

LOU Ling-ling, WU Jiu-rong

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Journal of Guangzhou University(Natural Science Edition) ›› 2016, Vol. 15 ›› Issue (4) : 50-56.

Verification and evaluation on wind loading of large eddy simulation by the improved subgrid scale model

  • LOU Ling-ling, WU Jiu-rong
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Abstract

In order to obtain the time history of 3dimensional fluctuating wind speed with the same statistical characteristics as the wind of near ground atmosphere boundary layer, an inflow turbulence generation method called DSRFG (discretizing and synthesizing of random flow generation) is applied to generate the time record of inflow turbulence wind speed for Large Eddy Simulation in CFD, meanwhile an improved dynamic oneequation model is adopted as the subgrid scale model for Large Eddy Simulation method. These two methods are combined for the CFD simulation on the wind load distribution and characteristics of an isolated rectangular tall building with 1∶1∶3 ratio (the ratio between length, width and height) in zero degree wind direction. The CFD numerical simulation results are further compared with those experimental wind tunnel test results on the same building from TPU wind tunnel laboratory in Japan. All these comparisons indicate that: the fluctuating kinetic energy of windinduced torsional moment mainly results from the influence of vortex shedding other than the inlet turbulence for the test building; the combination of DSRFG with the improved dynamic one-equation model in the large eddy simulation method in CFD can accurately obtain the value and their characteristics of mean and fluctuating wind loads acting on the isolated rectangular tall building, which jointly testify the feasibility of its application to the design wind load evaluation for actual high rise buildings.

Key words

tall building / DSRFG / large eddy simulation / subgrid scale model / wind load / wind tunnel test

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LOU Ling-ling, WU Jiu-rong. Verification and evaluation on wind loading of large eddy simulation by the improved subgrid scale model. Journal of Guangzhou University(Natural Science Edition). 2016, 15(4): 50-56

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