{"id":16459,"date":"2024-04-26T14:23:09","date_gmt":"2024-04-26T14:23:09","guid":{"rendered":"https:\/\/aerospacerepository.org\/?p=16459"},"modified":"2024-04-26T14:23:10","modified_gmt":"2024-04-26T14:23:10","slug":"multi-objective-design-optimization-of-scramjet-intakes-via-evolutionary-algorithms-assisted-by-multi-dimensional-predictive-modeling-based-on-deep-learning","status":"publish","type":"post","link":"https:\/\/aerospacerepository.org\/index.php\/2024\/04\/26\/multi-objective-design-optimization-of-scramjet-intakes-via-evolutionary-algorithms-assisted-by-multi-dimensional-predictive-modeling-based-on-deep-learning\/","title":{"rendered":"Multi-Objective Design Optimization of Scramjet Intakes via Evolutionary Algorithms Assisted by Multi-Dimensional Predictive Modeling Based on Deep Learning"},"content":{"rendered":"\n<p><strong>Chihiro Fujio, Hideaki Ogawa<\/strong><\/p>\n\n\n\n<p><strong>DOI Number XXX-YYY-ZZZ<\/strong><\/p>\n\n\n\n<p><strong>Conference Number HiSST-2022-437<\/strong><\/p>\n\n\n\n<p>Design of scramjet intakes requires sophisticated methodologies to achieve desirable compression reducing total pressure loss and drag simultaneously, and multi-objective design optimization (MDO) using<br>evolutionary algorithms (EA) is one of the most promising approaches. In addition, the dataset obtained<br>from computational fluid dynamics (CFD) simulations in the MDO process can serve expected as a rich<br>mine of physics-based information. However, the substantial computational cost of a large number of<br>CFD evaluations represents an obstacle to high-fidelity design search. The present study proposes an<br>evolutionary algorithm which employs a multi-dimensional flow prediction model via deep learning for<br>objective\/constraint function evaluations to replace CFD simulation by predicting flowfields inside scramjet intakes. The proposed EA-based MDO framework is applied to an optimization study of axisymmetric<br>3-ramp intakes and the performance and utility are discussed. This EA approach using multi-dimensional<br>predictive modeling is applicable for various optimization problems which require reduction of the computational cost of function evaluations.<\/p>\n\n\n\n<p><a href=\"https:\/\/aerospacerepository.org\/wp-content\/uploads\/2023\/10\/HiSST-2022-437.pdf\" data-type=\"link\" data-id=\"https:\/\/aerospacerepository.org\/wp-content\/uploads\/2023\/10\/HiSST-2022-437.pdf\">Read the full paper > <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p><b>Chihiro Fujio, Hideaki Ogawa<\/b><\/p>\n<p>DOI Number XXX-YYY-ZZZ<\/p>\n<p>Conference Number HiSST-2022-437<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1006,1013],"tags":[1368,1367,1185,1366,1187],"class_list":["post-16459","post","type-post","status-publish","format-standard","hentry","category-hisst-2022","category-propulsion-systems-and-components-hisst-2022","tag-deep-learning","tag-evolutionary-algorithm","tag-hypersonic-airbreathing-propulsion","tag-multi-objective-design-optimization","tag-scramjet-intake","category-1006","category-1013","description-off"],"_links":{"self":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts\/16459","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/comments?post=16459"}],"version-history":[{"count":1,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts\/16459\/revisions"}],"predecessor-version":[{"id":16460,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts\/16459\/revisions\/16460"}],"wp:attachment":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/media?parent=16459"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/categories?post=16459"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/tags?post=16459"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}