Wall-Modeled Large Eddy Simulation (WMLES) is an area of interest due to its ability to lower computational costs of LES. Even with the application of wall models, LES still proves to have practicality issues when it comes to use in industry, due to the expertise, time, and computational resources required. A novel technique for generating a lean, physics based WMLES grid is described.
The technique utilizes a RANS solution to extract turbulence information, user-specified values related to resolution of turbulent energy levels, acoustics waves, and shock waves, to generate a point cloud for producing a lean WMLES grid with in-house solver, Eagle3D. WMLES solutions for the NASA transonic bump case are calculated using auto-generated grids and compared to existing highly-resolved WRLES results and experimental data for wall pressure and friction distributions, turbulent boundary layer profiles, and spectral analysis. A preliminary exploration of the sensitivity of results to the physics-based settings is considered. Artificial turbulence generation with mesh coarsening is thoroughly investigated.
","abstract_html":"<p>Wall-Modeled Large Eddy Simulation (WMLES) is an area of interest due to its ability to lower computational costs of LES. Even with the application of wall models, LES still proves to have practicality issues when it comes to use in industry, due to the expertise, time, and computational resources required. A novel technique for generating a lean, physics based WMLES grid is described.</p> <p>The technique utilizes a RANS solution to extract turbulence information, user-specified values related to resolution of turbulent energy levels, acoustics waves, and shock waves, to generate a point cloud for producing a lean WMLES grid with in-house solver, Eagle3D. WMLES solutions for the NASA transonic bump case are calculated using auto-generated grids and compared to existing highly-resolved WRLES results and experimental data for wall pressure and friction distributions, turbulent boundary layer profiles, and spectral analysis. A preliminary exploration of the sensitivity of results to the physics-based settings is considered. Artificial turbulence generation with mesh coarsening is thoroughly investigated.</p>","abstract_has_math":false,"creators":["Schneider, Dominic"],"institution":null,"degree_name":"Master of Science in Aerospace Engineering","degree_level":"Thesis - Open Access","degree_discipline":"Aerospace Engineering","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-10-01T07:00:00Z","date_published":"2025-10-01T07:00:00Z","updated_at":"2026-07-27T19:26:22Z","subjects":["CFD","WMLES","Eddy Resolving Method","Grid Generation","Computational Analysis","Meshing Automation","Aerodynamics and Fluid Mechanics","Computational Engineering","Computer-Aided Engineering and Design","Computer Engineering","Other Computer Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.erau.edu/edt/952","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Schneider, Dominic"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Aerospace Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Aerospace Engineering"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["CFD","WMLES","Eddy Resolving Method","Grid Generation","Computational Analysis","Meshing Automation","Aerodynamics and Fluid Mechanics","Computational Engineering","Computer-Aided Engineering and Design","Computer Engineering","Other Computer Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.erau.edu/edt/952"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Wall-Modeled Large Eddy Simulation (WMLES) is an area of interest due to its ability to lower computational costs of LES. Even with the application of wall models, LES still proves to have practicality issues when it comes to use in industry, due to the expertise, time, and computational resources required. A novel technique for generating a lean, physics based WMLES grid is described.
The technique utilizes a RANS solution to extract turbulence information, user-specified values related to resolution of turbulent energy levels, acoustics waves, and shock waves, to generate a point cloud for producing a lean WMLES grid with in-house solver, Eagle3D. WMLES solutions for the NASA transonic bump case are calculated using auto-generated grids and compared to existing highly-resolved WRLES results and experimental data for wall pressure and friction distributions, turbulent boundary layer profiles, and spectral analysis. A preliminary exploration of the sensitivity of results to the physics-based settings is considered. Artificial turbulence generation with mesh coarsening is thoroughly investigated.
"]},{"key":"dc:title","label":"Title","values":["Exploration of Physics-Informed Grid Generation Technique for Wall-Modeled LES using Eagle3D"]}]}],"canonical_facts":{"dc:creator":["Schneider, Dominic"],"dc:description.abstract":["Wall-Modeled Large Eddy Simulation (WMLES) is an area of interest due to its ability to lower computational costs of LES. Even with the application of wall models, LES still proves to have practicality issues when it comes to use in industry, due to the expertise, time, and computational resources required. A novel technique for generating a lean, physics based WMLES grid is described.
The technique utilizes a RANS solution to extract turbulence information, user-specified values related to resolution of turbulent energy levels, acoustics waves, and shock waves, to generate a point cloud for producing a lean WMLES grid with in-house solver, Eagle3D. WMLES solutions for the NASA transonic bump case are calculated using auto-generated grids and compared to existing highly-resolved WRLES results and experimental data for wall pressure and friction distributions, turbulent boundary layer profiles, and spectral analysis. A preliminary exploration of the sensitivity of results to the physics-based settings is considered. Artificial turbulence generation with mesh coarsening is thoroughly investigated.
"],"dc:identifier":["https://commons.erau.edu/edt/952"],"dc:subject":["CFD","WMLES","Eddy Resolving Method","Grid Generation","Computational Analysis","Meshing Automation","Aerodynamics and Fluid Mechanics","Computational Engineering","Computer-Aided Engineering and Design","Computer Engineering","Other Computer Engineering"],"dc:title":["Exploration of Physics-Informed Grid Generation Technique for Wall-Modeled LES using Eagle3D"],"thesis:degree_discipline":["Aerospace Engineering"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Science in Aerospace Engineering"]},"updated_at":"2026-07-27T19:26:22Z"}