{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1009"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1009","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"An adaptive hybrid mesh generation method for complex geometries","abstract":"An adaptive hybrid mesh generation method is described to automatically provide spatial discretizations suitable for computational fluid dynamics or other 2D solver applications. This method employs a hierarchical grid generation technique to create a background mesh, an extrusion-type method for inserting boundary layers, and an unstructured triangulation to stitch between the boundary layers and background mesh. This method provides appropriate mesh resolution based on geometry segments from a file, and has the capability of adapting the background mesh based on a spacing field generated from solution data or some other arbitrary source. By combining multiple approaches to the grid generation process, this method seeks to benefit from the strengths of each, while avoiding the weaknesses of each. Possible future work to increase the robustness of the method is also discussed.","abstract_html":"An adaptive hybrid mesh generation method is described to automatically provide spatial discretizations suitable for computational fluid dynamics or other 2D solver applications. This method employs a hierarchical grid generation technique to create a background mesh, an extrusion-type method for inserting boundary layers, and an unstructured triangulation to stitch between the boundary layers and background mesh. This method provides appropriate mesh resolution based on geometry segments from a file, and has the capability of adapting the background mesh based on a spacing field generated from solution data or some other arbitrary source. By combining multiple approaches to the grid generation process, this method seeks to benefit from the strengths of each, while avoiding the weaknesses of each. Possible future work to increase the robustness of the method is also discussed.","abstract_has_math":false,"creators":["Druyor, Cameron Thomas"],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Karman Jr., Steve","Hyams, Daniel; Betro, Vincent","College of Engineering and Computer Science"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T05:46:02Z","subjects":["Computational fluid dynamics","Numerical grid generation (Numerical analysis)"],"languages":["English","eng"],"rights":[],"rights_urls":["https://rightsstatements.org/page/InC/1.0/?language=en"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/10","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Karman Jr., Steve","Hyams, Daniel; Betro, Vincent","College of Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Druyor, Cameron Thomas"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-08-01T07:00:00Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"]},{"key":"dc:relation","label":"Dc Relation","values":["Masters Theses and Doctoral Dissertations"]},{"key":"dc:type","label":"Dc Type","values":["Masters theses","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Computational fluid dynamics","Numerical grid generation (Numerical analysis)"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["https://rightsstatements.org/page/InC/1.0/?language=en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/10"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Dept. of Computational Engineering","M. 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By combining multiple approaches to the grid generation process, this method seeks to benefit from the strengths of each, while avoiding the weaknesses of each. Possible future work to increase the robustness of the method is also discussed."]},{"key":"dc:title","label":"Title","values":["An adaptive hybrid mesh generation method for complex geometries"]}]}],"canonical_facts":{"dc:contributor":["Karman Jr., Steve","Hyams, Daniel; Betro, Vincent","College of Engineering and Computer Science"],"dc:creator":["Druyor, Cameron Thomas"],"dc:date":["2011-08-01T07:00:00Z"],"dc:description":["Dept. of Computational Engineering","M. 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By combining multiple approaches to the grid generation process, this method seeks to benefit from the strengths of each, while avoiding the weaknesses of each. Possible future work to increase the robustness of the method is also discussed."],"dc:identifier":["https://scholar.utc.edu/theses/10"],"dc:language":["English","eng"],"dc:publisher":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"],"dc:relation":["Masters Theses and Doctoral Dissertations"],"dc:rights":["https://rightsstatements.org/page/InC/1.0/?language=en"],"dc:subject":["Computational fluid dynamics","Numerical grid generation (Numerical analysis)"],"dc:title":["An adaptive hybrid mesh generation method for complex geometries"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:46:02Z"}