| 研究実績の概要 |
A multi-fidelity shape optimization framework was proposed for the pedestrian-level wind environment (PLWE). In the proposed framework, low-fidelity computational fluid dynamics (CFD) models based on steady Reynolds-averaged Navier-Stokes equations (RANS) models and high-fidelity CFD models based on large-eddy simulation (LES) are efficiently integrated into the optimization process to improve its reliability while maintaining its computational speed in an affordable range for practical engineering applications.
The optimization solver is coupled with an approximation model generated by low-fidelity CFD samples obtained using a design of experiments (DOE) technique. The optimal candidates are then evaluated according to the degree of improvement of the objective function compared to the reference case.
The applicability of the proposed method was investigated in terms of minimizing the high-wind-speed area, as the optimization objective, around a high-rise building considering (a) uniform urban blocks and (b) real urban blocks with different frequency distributions of wind directions associated with two different local wind climates.
|
| 今後の研究の推進方策 |
For the research in this year, the modification options were limited to a generic simple shape for the target building. For practical architectural applications, a combination of other geometry modification options, such as podium or lift-up designs, should be considered. Furthermore, only the geometry of the target building was modified in this study; geometry modification of multiple buildings can also be considered in the optimization procedure. Hence, future studies will focus on the applicability of the proposed optimization framework to more complicated building configurations.
|
