Project

Turbulent Inflow Generator for LES evaluation of wind-pressure for high rise buildings

Publisher

Supervisor

Location

Greater Copenhagen area

At present, the wind engineering toolbox consists of wind-tunnel testing of scaled models, limited full-scale testing, field measurements, and mechanical load/pressure testing. The evolution of computational wind engineering (CWE) based on computational fluid dynamics (CFD) principles are making the numerical evaluation of wind loads a potentially attractive proposition. This is particularly true considering the positive development trends in hardware and software technology, as well as numerical modelling.

The success of application of CFD in aeronautical engineering is very encouraging. Acknowledging the difference between streamlined and bluff body flows, the use of computational fluid dynamics for predicting wind effects in the atmospheric boundary layer appears very promising. This is particularly so considering the recent advances as mentioned above, but also the reliable sub-grid turbulence models and numerical reproduction of inflow turbulence. At this stage of CWE application, however, a systematic validation of CWE models through comparison with wind tunnel experiments shall continue to enhance the confidence and warrant its use for practical applications.

Turbulent inflow generator technique that can be used as inflow boundary condition for LES based on synthesizing divergent-free turbulent velocities. The accuracy of proposed technique to produce turbulent velocities with proper spectra and coherency function must be assessed in comparison with typical atmospheric boundary layer (ABL) flow characteristics obtained from literature. Further, its appropriateness to evaluate wind induced response for tall building is regarded as the outcome to employ the proposed technique as inlet boundary condition for LES of the ABL flow around tall buildings.

The scope of this thesis is to adapt 2-3 different approach for generating the synthetics inflow profiles and evaluate the computational quality of the different methods, required input parameter and quality of the generated profiles.

In collaboration with

Ramboll

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Technical University of Denmark

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