{"id":18039,"date":"2024-08-21T10:46:34","date_gmt":"2024-08-21T10:46:34","guid":{"rendered":"https:\/\/aerospacerepository.org\/?p=18039"},"modified":"2024-08-21T10:46:35","modified_gmt":"2024-08-21T10:46:35","slug":"uncertainty-quantification-in-the-vicinity-of-mode-switches-in-the-flutter-response-of-a-composite-cantilevered-wing","status":"publish","type":"post","link":"https:\/\/aerospacerepository.org\/index.php\/2024\/08\/21\/uncertainty-quantification-in-the-vicinity-of-mode-switches-in-the-flutter-response-of-a-composite-cantilevered-wing\/","title":{"rendered":"UNCERTAINTY QUANTIFICATION IN THE VICINITY OF MODE SWITCHES IN THE FLUTTER RESPONSE OF A COMPOSITE CANTILEVERED WING"},"content":{"rendered":"\n<p><strong>Christian T. Nitschke, Angela Vincenti, Jean-Camille Chassaing<\/strong><\/p>\n\n\n\n<p><strong>DOI Number: N\/A<\/strong><\/p>\n\n\n\n<p><strong>Conference number: IFASD-2017-144<\/strong><\/p>\n\n\n\n<p>In composite wings, abrupt switches in modal behaviour occur depending on the elastic properties of the laminate. These switches can lead to drastic drops in critical \ufb02utter velocity. The modal behaviour is so sensitive that even small fabrication errors can cause them. In this paper, several laminate con\ufb01gurations prone to mode switches are studied and the effect of errors on angular ply placement and thickness on the aeroelastic behaviour are examined. The polar method is used for the analysis of the stiffness properties of the materials and their distribution. Arbitrary polynomial chaos is used to accelerate the stochastic propagation step. The discontinuties in the response surface are treated by using machine learning.<\/p>\n\n\n\n<p><a href=\"https:\/\/aerospacerepository.org\/wp-content\/uploads\/2024\/08\/IFASD-2017-144.pdf\">Read the full paper here<\/a><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p><b>Christian T. Nitschke, Angela Vincenti, Jean-Camille Chassaing<b\/><\/p>\n<p>DOI Number: N\/A<\/p>\n<p>Conference number: IFASD-2017-144<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[993,1957,1953],"tags":[1972,2240,1224,2241,2051],"class_list":["post-18039","post","type-post","status-publish","format-standard","hentry","category-events","category-computational-aeroelasticity","category-ifasd-2017","tag-aeroelasticity","tag-composite-materials","tag-machine-learning","tag-polynomial-chaos","tag-uncertainty-quantication","category-993","category-1957","category-1953","description-off"],"_links":{"self":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts\/18039","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/comments?post=18039"}],"version-history":[{"count":1,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts\/18039\/revisions"}],"predecessor-version":[{"id":18041,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/posts\/18039\/revisions\/18041"}],"wp:attachment":[{"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/media?parent=18039"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/categories?post=18039"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aerospacerepository.org\/index.php\/wp-json\/wp\/v2\/tags?post=18039"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}