Machine learning to forecast unsteady, motion-induced unsteady forces
Reik Thormann, Hans Martin Bleecke
DOI Number: https://doi.org/10.82439/ceas-ifasd-2024-030
Conference number: IFASD-2024-030
Machine learning-based parametric model order reduction for the gust load analysis
Sangmin Lee, SiHun Lee, Younggeun Park, Seung-Hoon Kang, Kijoo Jang, Haeseong Cho, SangJoon Shin
DOI Number: https://doi.org/10.82439/ceas-ifasd-2024-135
Conference number: IFASD-2024-135
UNCERTAINTY QUANTIFICATION IN THE VICINITY OF MODE SWITCHES IN THE FLUTTER RESPONSE OF A COMPOSITE CANTILEVERED WING
Christian T. Nitschke, Angela Vincenti, Jean-Camille Chassaing
DOI Number: N/A
Conference number: IFASD-2017-144
Knowledge Discovery on Cavity-Based Scramjet Combustor Design via Stochastic-Surrogate-Assisted Multi-Objective Optimization
Chihiro FUJIO, Sasi Kiran PALATEERDHAM, Lakshmi Narayana Phaneendra PERI, Hideaki OGAWA, Antonella INGENITO
DOI Number: N/A
Conference number: HiSST-2024-076
Surrogate modelling of supersonic fuel-air mixing in a multi-strut injectionscramjet engine using artificial neural network
Ali Can Ispir, Kamila Zdybał, Bayindir H. Saracoglu, Thierry Magin, Axel Coussement
DOI Number XXX-YYY-ZZZ
Conference Number HiSST-2022-425
Disturbance Evolution in Roughness-induced Vortices under Re-entry Conditions
Friedrich Ulrich, Christian Stemmer
DOI Number XXX-YYY-ZZZ
Conference Number HiSST-2022-379