Implementation of Multidisciplinary and Multifidelity Uncertainty Quantification Methods for Sonic Boom Prediction

被引：0

作者：

Tekaslan, Huseyin Emre ^{[1
]}

Yildiz, Sihmehmet ^{[1
]}

Demiroglu, Yusuf ^{[1
]}

Nikbay, Melike ^{[1
]}

机构：

[1] Faculty of Aeronautics and Astronautics, Istanbul Technical University, Maslak, Istanbul,34469, Turkey

来源：

Journal of Aircraft | 1600年 / 60卷 / 02期

关键词：

All authors would like to express their gratitude to TUBITAK for the research grant provided under the 218M471 TUBITAK 1001 project titled Development of Multi-fidelity and Multidisciplinary Methodologies Integrating Sonic Boom; Aeroelasticity and Propulsion System for Supersonic Aircraft Design. The second and last authors would like to acknowledge the graduate thesis support provided by Istanbul Technical University Scientific Research Program for the MYL-2019-42352 project titled Application of Multidisci-plinary and Multi-fidelity Optimization Techniques for Supersonic Aircraft. The third and last authors would like to acknowledge the graduate thesis support provided by Istanbul Technical University Scientific Research Program for the MYL-2020-42758 project titled Development of a Nonlinear Sonic Boom Prediction Program. The last author would like to acknowledge Istanbul Technical University Scientific Research Projects Unit for the Stochastic Design Optimization of Military Sea and Air Vehicles project with grant number MGA-2018-41090. The last author would like to thank NASA Langley Research Center for distributing the sBOOM sonic boom prediction code internationally for academic research.All authors would like to express their gratitude to TUBITAK for the research grant provided under the 218M471 TUBITAK 1001 project titled Development of Multi-fidelity and Multidisciplinary Methodologies Integrating Sonic Boom; Aeroelasticity and Propulsion System for Supersonic Aircraft Design. The second and last authors would like to acknowledge the graduate thesis support provided by Istanbul Technical University Scientific Research Program for the MYL-2019-42352 project titled Application of Multidisciplinary and Multi-fidelity Optimization Techniques for Supersonic Aircraft. The third and last authors would like to acknowledge the graduate thesis support provided by Istanbul Technical University Scientific Research Program for the MYL-2020-42758 project titled Development of a Nonlinear Sonic Boom Prediction Program. The last author would like to acknowledge Istanbul Technical University Scientific Research Projects Unit for the Stochastic Design Optimization of Military Sea and Air Vehicles project with grant number MGA-2018-41090. The last author would like to thank NASA Langley Research Center for distributing the sBOOM sonic boom prediction code internationally for academic research;

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摘要：

引用

页码：410 / 422

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