https://omid-bidar.github.io/tags/sure/SUREHugo Blox Builder (https://hugoblox.com)en-usThu, 01 Sep 2022 00:00:00 +0000https://omid-bidar.github.io/media/icon_hu18016986673377086699.pnghttps://omid-bidar.github.io/tags/sure/https://omid-bidar.github.io/student-project/sure-2022-zhenting-kong/Thu, 01 Sep 2022 00:00:00 +0000https://omid-bidar.github.io/student-project/sure-2022-zhenting-kong/<h2 id="project-details">Project details</h2> <ul> <li><strong>Student:</strong> Zhenting Kong</li> <li><strong>Programme:</strong> Second-year BEng Mechanical Engineering</li> <li><strong>Scheme:</strong> Sheffield Undergraduate Research Experience (SURE)</li> <li><strong>Period:</strong> Summer 2022</li> <li><strong>Supervisor:</strong> Omid Bidar</li> </ul> <h2 id="overview">Overview</h2> <p>This project explored epistemic uncertainty in Reynolds-averaged Navier-Stokes (RANS) predictions for single- and multi-element aerofoils. Zhenting used the open-source SU2 computational fluid dynamics suite and its EQUiPS uncertainty-quantification capability to generate uncertainty bounds using eigenspace perturbations of the turbulence model.</p> <p>The study compared an S809 single-element aerofoil with the MDA30P3ON multi-element configuration across several angles of attack. Simulations were run on the University of Sheffield&rsquo;s ShARC high-performance computing system, with ParaView and MATLAB used for post-processing and analysis.</p> <h2 id="key-outcomes">Key outcomes</h2> <ul> <li>Uncertainty increased substantially at higher angles of attack, where flow separation and other complex physics become more important.</li> <li>At lower angles of attack, the perturbed RANS predictions produced much narrower uncertainty bounds.</li> <li>Regions of high predictive uncertainty were identified as candidate locations for informative sensor placement.</li> <li>The project produced simulation data and analysis that contributed to further research on turbulence-model uncertainty and data assimilation.</li> </ul>