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Volume 38, Issue 2
Aerodynamic Performance and Data-Driven Optimization of Flow Past an Inclined Rounded Square Cylinder

Wentian Song, Jingrun Chen, Wan Cheng, Zhouwang Yang & Xisheng Luo

DOI: 10.4208/cicp.OA-2024-0304

Commun. Comput. Phys., 38 (2025), pp. 491-520.

Published online: 2025-08

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  • Abstract

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.

  • Keywords

Rounded square cylinder, high-fidelity physical model, shape optimization.

  • AMS Subject Headings

76D55, 76D17, 93C95, 68T07

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{CiCP-38-491, author = {Song , WentianChen , JingrunCheng , WanYang , Zhouwang and Luo , Xisheng}, title = {Aerodynamic Performance and Data-Driven Optimization of Flow Past an Inclined Rounded Square Cylinder}, journal = {Communications in Computational Physics}, year = {2025}, volume = {38}, number = {2}, pages = {491--520}, abstract = {

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.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.OA-2024-0304}, url = {http://global-sci.org/intro/article_detail/cicp/24305.html} }
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 -

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.

Song , WentianChen , JingrunCheng , WanYang , Zhouwang and Luo , Xisheng. (2025). Aerodynamic Performance and Data-Driven Optimization of Flow Past an Inclined Rounded Square Cylinder. Communications in Computational Physics. 38 (2). 491-520. doi:10.4208/cicp.OA-2024-0304
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