Syed Muhammad Mateen Javad, Syed Saad Ullah Gillani, Naveera Waheed, Muhammad Yousaf, Ibrahim Sher, Usman Zia, J. Masud
{"title":"Exploratory Study of Effects of Ejectors on Drag Reduction","authors":"Syed Muhammad Mateen Javad, Syed Saad Ullah Gillani, Naveera Waheed, Muhammad Yousaf, Ibrahim Sher, Usman Zia, J. Masud","doi":"10.2514/6.2022-1301","DOIUrl":"https://doi.org/10.2514/6.2022-1301","url":null,"abstract":"","PeriodicalId":192386,"journal":{"name":"AIAA SCITECH 2022 Forum","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125338776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Flow Pattern Analysis on a Delta Wing at Transonic Speed","authors":"T. Di Fabbio, E. Tangermann, M. Klein","doi":"10.2514/6.2022-1204","DOIUrl":"https://doi.org/10.2514/6.2022-1204","url":null,"abstract":"","PeriodicalId":192386,"journal":{"name":"AIAA SCITECH 2022 Forum","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125388095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Flutter Analysis of the Benchmark Supercritical Wing at Moderate Angles of Attack","authors":"Wrik Mallik, Lior Poplingher, D. Raveh","doi":"10.2514/6.2022-2316","DOIUrl":"https://doi.org/10.2514/6.2022-2316","url":null,"abstract":"","PeriodicalId":192386,"journal":{"name":"AIAA SCITECH 2022 Forum","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125388103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Computational Study for Estimating Longitudinal Dynamic Derivative of a Wide Body Aircraft.","authors":"J. Masud, Muhammad Rehan, B. Malik, A. Maqsood","doi":"10.2514/6.2022-0130","DOIUrl":"https://doi.org/10.2514/6.2022-0130","url":null,"abstract":"","PeriodicalId":192386,"journal":{"name":"AIAA SCITECH 2022 Forum","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125534478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Estimating probability of failure in aerospace systems is a critical requirement for flight certification and qualification. Failure probability estimation (FPE) involves resolving tails of probability distribution and Monte Carlo (MC) sampling methods are intractable when expensive high-fidelity simulations have to be queried. We propose a method to use models of multiple fidelities, which trade accuracy for computational efficiency. Specifically, we propose the use of multifidelity Gaussian process models to efficiently fuse models at multiple fidelity. Furthermore, we propose a novel acquisition function within a Bayesian optimization framework, which can sequentially select samples (or batches of samples for parallel evaluation) from appropriate fidelity models to make predictions about quantities of interest in the highest fidelity. We use our proposed approach within a multifidelity importance sampling (MFIS) setting, and demonstrate our method on the failure level set estimation on synthetic test functions as well as the transonic flow past an airfoil wing section.
{"title":"Multifidelity Gaussian processes for failure boundary andprobability estimation","authors":"Ashwin Renganathan, Vishwas Rao, Ionel M. Navon","doi":"10.2514/6.2022-0390","DOIUrl":"https://doi.org/10.2514/6.2022-0390","url":null,"abstract":"Estimating probability of failure in aerospace systems is a critical requirement for flight certification and qualification. Failure probability estimation (FPE) involves resolving tails of probability distribution and Monte Carlo (MC) sampling methods are intractable when expensive high-fidelity simulations have to be queried. We propose a method to use models of multiple fidelities, which trade accuracy for computational efficiency. Specifically, we propose the use of multifidelity Gaussian process models to efficiently fuse models at multiple fidelity. Furthermore, we propose a novel acquisition function within a Bayesian optimization framework, which can sequentially select samples (or batches of samples for parallel evaluation) from appropriate fidelity models to make predictions about quantities of interest in the highest fidelity. We use our proposed approach within a multifidelity importance sampling (MFIS) setting, and demonstrate our method on the failure level set estimation on synthetic test functions as well as the transonic flow past an airfoil wing section.","PeriodicalId":192386,"journal":{"name":"AIAA SCITECH 2022 Forum","volume":"1996 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125568599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：