Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Aurelian Vadean"'
Autor:
Yann-Seing Law-Kam Cio, Giovanni Beltrame, Aurelian Vadean, Abolfazl Mohebbi, Sofiane Achiche
Publikováno v:
Frontiers in Mechanical Engineering, Vol 10 (2024)
The complexity of mechatronic systems has increased with the significant advancements of technology in their components which makes their design more challenging. This is due to the need for incorporating expertise from different domains as well as t
Externí odkaz:
https://doaj.org/article/11f1342636de4469b96f4f61559cb9d2
Autor:
Jean-François Gamache, Aurelian Vadean, Mario Capo, Thomas Rochefort-Beaudoin, Nicolas Dodane, Sofiane Achiche
Publikováno v:
Design Science, Vol 9 (2023)
Topology optimization has been identified as a powerful tool to improve aircraft structures for many years. Yet, innovative layouts have not been successfully implemented in commercial aircraft for several reasons. One reason identified by our resear
Externí odkaz:
https://doaj.org/article/b013fd36528f40f2a8e0552aa9ee51a4
Publikováno v:
Engineering Applications of Artificial Intelligence. 123:106436
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56ab85209990329e3a108eee8aa7060d
https://doi.org/10.1016/j.engappai.2023.106436
https://doi.org/10.1016/j.engappai.2023.106436
Publikováno v:
CEAS Aeronautical Journal. 12:863-877
This work includes a complete optimization, design, sizing and validation application of density-based topology optimization for a single stiffened panel from the upper skin of a commercial aircraft wing. In this work, topology optimization is carrie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdb906768a9f6c6d9b6c2a7a9ebbc4fc
https://doi.org/10.1007/s13272-021-00546-2
https://doi.org/10.1007/s13272-021-00546-2
Publikováno v:
Volume 2: 42nd Computers and Information in Engineering Conference (CIE).
Machine learning-accelerated topology optimization faces the challenge of generating large amounts of optimal topologies for supervised learning on a training dataset. This data generation step is challenging for the method of Moving Morphable Compon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::281ab15126c3a225e6890747c0297714
https://doi.org/10.1115/detc2022-88722
https://doi.org/10.1115/detc2022-88722
Publikováno v:
Artificial Intelligence for Engineering Design, Analysis and Manufacturing. 35:49-64
The development of autonomous greenhouses has caught the interest of many researchers and industrial considering their potential of offering an optimal environment for the growth of high-quality crops with minimum resources. Since an autonomous green
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ba55366161313520cbffc410c44d2fd
https://doi.org/10.1017/s0890060420000384
https://doi.org/10.1017/s0890060420000384
Over the last decades, the use of multibody dynamics in biomechanics research has grown considerably and holds significant promises for the health and biomedical industries. Nowadays, it allows estimating internal data of the body that would be impra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35e27a72ddbd3d77620e1832eed3f66f
https://doi.org/10.1115/1.0002082v
https://doi.org/10.1115/1.0002082v
Publikováno v:
International Journal of Fatigue. 158:106738
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efdf63aba1cd0ae7ce0e870855c92c8d
https://doi.org/10.1016/j.ijfatigue.2022.106738
https://doi.org/10.1016/j.ijfatigue.2022.106738
Publikováno v:
DS 112: Proceedings of the 23rd International DSM Conference (DSM 2021), Montréal, Canada, October, 12 - 14, 2021.
The CubeSat platform has become increasingly popular in recent decades. Due to its relatively low research cost and short development time, it is often used to conduct experiments in space in various fields. Since a satellite payload is usually a cro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20b7ab01c945f75a06e8e022ce9661c5
https://doi.org/10.35199/dsm2021.6
https://doi.org/10.35199/dsm2021.6
Publikováno v:
Volume 11B: 46th Design Automation Conference (DAC).
Many-objective optimization problem (MaOP) is defined as optimization with more than 3 objective functions. This high number of objectives makes the comparing solutions more challenging. This holds true for design problems which are MaOPs by nature d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd075b854ac2e649c102ade4d6385722
https://doi.org/10.1115/detc2020-22397
https://doi.org/10.1115/detc2020-22397