Low fidelity data driven machine learning based optimisation method for box-wing configuration

Mehedi Hasan; Azad Khandoker; Guido Gessl; M. A. Hamid; Mohammed Ali

doi:10.1016/j.ast.2024.109169

Low fidelity data driven machine learning based optimisation method for box-wing configuration

Mehedi Hasan
, Azad Khandoker
, Guido Gessl
, M. A. Hamid
, Mohammed Ali

Institute of Mechatronic Design and Production

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	109169
Number of pages	19
Journal	Aerospace Science and Technology
Volume	150
DOIs	https://doi.org/10.1016/j.ast.2024.109169
Publication status	Published - Apr 2024

Fields of science

203 Mechanical Engineering
203013 Mechanical engineering
203037 Computational engineering
103043 Computational physics

JKU Focus areas

Digital Transformation
Sustainable Development: Responsible Technologies and Management

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10.1016/j.ast.2024.109169

Cite this

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title = "Low fidelity data driven machine learning based optimisation method for box-wing configuration",

author = "Mehedi Hasan and Azad Khandoker and Guido Gessl and Hamid, \{M. A.\} and Mohammed Ali",

year = "2024",

month = apr,

doi = "10.1016/j.ast.2024.109169",

language = "English",

volume = "150",

journal = "Aerospace Science and Technology",

issn = "1270-9638",

}

TY - JOUR

T1 - Low fidelity data driven machine learning based optimisation method for box-wing configuration

AU - Hasan, Mehedi

AU - Khandoker, Azad

AU - Gessl, Guido

AU - Hamid, M. A.

AU - Ali, Mohammed

PY - 2024/4

Y1 - 2024/4

UR - https://www.sciencedirect.com/science/article/pii/S127096382400302X?via%3Dihub

UR - https://www.scopus.com/pages/publications/85192671479

U2 - 10.1016/j.ast.2024.109169

DO - 10.1016/j.ast.2024.109169

M3 - Article

SN - 1270-9638

VL - 150

JO - Aerospace Science and Technology

JF - Aerospace Science and Technology

M1 - 109169

ER -

Low fidelity data driven machine learning based optimisation method for box-wing configuration

Fields of science

JKU Focus areas

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Cite this