TY - JOUR
T1 - Aerodynamic Performance and Data-Driven Optimization of Flow Past an Inclined Rounded Square Cylinder
AU - Song , Wentian
AU - Chen , Jingrun
AU - Cheng , Wan
AU - Yang , Zhouwang
AU - Luo , Xisheng
JO - Communications in Computational Physics
VL - 2
SP - 491
EP - 520
PY - 2025
DA - 2025/08
SN - 38
DO - http://doi.org/10.4208/cicp.OA-2024-0304
UR - https://global-sci.org/intro/article_detail/cicp/24305.html
KW - Rounded square cylinder, high-fidelity physical model, shape optimization.
AB - <p style="text-align: justify;">This study systematically investigates the flow characteristics around an
inclined rounded square cylinder in the laminar flow regime, focusing on key influential
parameters. The simulations cover a broad parameter space, including incidence angles
from $0^◦$ to $45^◦,$ Reynolds numbers from 45 to 170, and corner radii from 0 to 0.4. Data
from direct numerical simulations, including mean force and moment coefficients, root
mean square of force fluctuation coefficients, and Strouhal numbers, are meticulously
analyzed and divided into two datasets for model training. The developed data-driven
model exhibits exceptional predictive accuracy, mirroring a high-fidelity physical model.
Based on this model, the optimization strategy also demonstrates notable accuracy.
Specifically, the implementation of optimal design using the high-fidelity model allows
precise control of output physical parameters, aligning them with targeted optimal
conditions. This capability offers significant potential for improving the efficiency of
various engineering applications.</p>