{"id":{"repo_id":"carleton","oai_identifier":"oai:carleton.scholaris.ca:20.500.14718/32210"},"canonical_url":"https://search.dev.ndltd.org/etd/carleton/oai:carleton.scholaris.ca:20.500.14718/32210","repository":{"repo_id":"carleton","name":"Carleton University","base_url":"https://carleton.scholaris.ca/server/oai/request"},"display":{"title":"Development of Computational and Experimental Benchmark Data for Wind Turbine Aeroelastic Algorithms","abstract":"Aeroelastic algorithms that predict a rotor blade&apos;s aerodynamic performance and structural response efficiently and rapidly as a tool for preliminary design stages are an ongoing concern for the professional practitioners. These aeroelastic algorithms require validation data upon which their accuracy can be determined. To this end, a validation process was investigated and applied to determine the accuracy of the Preliminary Aeroelastic Analysis of Wind Turbine (PAAC-WTB) algorithm, an algorithm that was recently developed in the Advanced Dynamic Research group. A preliminary wind tunnel test was performed on a 3D-printed reduced scale model of the National Renewable Energy Laboratory (NREL) S809 blade, and CFD and FEA analysis was performed using ANSYS on an S809 blade model. Comparison of the algorithm results against experimental and ANSYS results showed good agreement and thus the validation process was deemed successful.","abstract_html":"Aeroelastic algorithms that predict a rotor blade&amp;apos;s aerodynamic performance and structural response efficiently and rapidly as a tool for preliminary design stages are an ongoing concern for the professional practitioners. These aeroelastic algorithms require validation data upon which their accuracy can be determined. To this end, a validation process was investigated and applied to determine the accuracy of the Preliminary Aeroelastic Analysis of Wind Turbine (PAAC-WTB) algorithm, an algorithm that was recently developed in the Advanced Dynamic Research group. A preliminary wind tunnel test was performed on a 3D-printed reduced scale model of the National Renewable Energy Laboratory (NREL) S809 blade, and CFD and FEA analysis was performed using ANSYS on an S809 blade model. Comparison of the algorithm results against experimental and ANSYS results showed good agreement and thus the validation process was deemed successful.","abstract_has_math":false,"creators":["Sherif, Mohamed Emad El"],"institution":"Carleton University","degree_name":"Master of Applied Science (M.App.Sc.)","degree_level":"Master&apos;s","degree_discipline":"Engineering, Mechanical","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015","date_published":"2015","updated_at":"2026-07-24T01:34:36Z","subjects":[],"languages":["en"],"rights":["Copyright © 2015 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. 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To this end, a validation process was investigated and applied to determine the accuracy of the Preliminary Aeroelastic Analysis of Wind Turbine (PAAC-WTB) algorithm, an algorithm that was recently developed in the Advanced Dynamic Research group. A preliminary wind tunnel test was performed on a 3D-printed reduced scale model of the National Renewable Energy Laboratory (NREL) S809 blade, and CFD and FEA analysis was performed using ANSYS on an S809 blade model. Comparison of the algorithm results against experimental and ANSYS results showed good agreement and thus the validation process was deemed successful."]},{"key":"dc:title","label":"Title","values":["Development of Computational and Experimental Benchmark Data for Wind Turbine Aeroelastic Algorithms"]}]}],"canonical_facts":{"dc:creator":["Sherif, Mohamed Emad El"],"dc:date.accessioned":["2025-04-08T17:39:25Z"],"dc:date.available":["2025-04-08T17:39:25Z"],"dc:date.issued":["2015"],"dc:description.abstract":["Aeroelastic algorithms that predict a rotor blade&apos;s aerodynamic performance and structural response efficiently and rapidly as a tool for preliminary design stages are an ongoing concern for the professional practitioners. These aeroelastic algorithms require validation data upon which their accuracy can be determined. To this end, a validation process was investigated and applied to determine the accuracy of the Preliminary Aeroelastic Analysis of Wind Turbine (PAAC-WTB) algorithm, an algorithm that was recently developed in the Advanced Dynamic Research group. A preliminary wind tunnel test was performed on a 3D-printed reduced scale model of the National Renewable Energy Laboratory (NREL) S809 blade, and CFD and FEA analysis was performed using ANSYS on an S809 blade model. Comparison of the algorithm results against experimental and ANSYS results showed good agreement and thus the validation process was deemed successful."],"dc:identifier.doi":["10.22215/etd/2015-10880"],"dc:identifier.uri":["https://hdl.handle.net/20.500.14718/32210"],"dc:language.iso":["en"],"dc:publisher":["Carleton University"],"dc:rights":["Copyright © 2015 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner."],"dc:title":["Development of Computational and Experimental Benchmark Data for Wind Turbine Aeroelastic Algorithms"],"dc:type":["thesis"],"thesis:degree_discipline":["Engineering, Mechanical"],"thesis:degree_level":["Master&apos;s"],"thesis:degree_name":["Master of Applied Science (M.App.Sc.)"]},"updated_at":"2026-07-24T01:34:36Z"}