%0 Conference Proceedings
%T Data-driven Operation-based Aircraft Design Optimization
%+ Hong Kong University of Science and Technology (HKUST)
%+ Ecole Nationale de l'Aviation Civile (ENAC)
%+ Airbus Operation S.A.S.
%A Kim, Dajung
%A Druot, Thierry
%A Liem, Rhea
%< avec comitÃ© de lecture
%B AIAA AVIATION 2020 FORUM
%C (Virtual event ), United States
%I American Institute of Aeronautics and Astronautics
%3 AIAA AVIATION 2020 FORUM
%P ISBN: 978-1-62410-598-2
%8 2020-06-15
%D 2020
%R 10.2514/6.2020-3156
%Z Mathematics [math]/Optimization and Control [math.OC]Conference papers
%X In this work, we integrate a mission analysis algorithm into the Multidisciplinary Airplane Research Integrated Library (MARILib), which is a multidisciplinary optimization tool for aircraft sizing. The main purpose of such an integration is to include aircraft operational data from the initial design process, to develop a more realistic aircraft design framework. With this approach, the design and mission requirements that reflect how aircraft actually operate are considered in the design process. Mission analysis tools are developed to model realistic aircraft operations. Data analytics, including clustering algorithms, is performed to extract information from flight data, which then becomes input to MARILib. The aim of the framework is to reduce operational costs of aircraft starting from the initial design itself, by incorporating air transportation data into the conceptual design stages.
%G English
%2 https://enac.hal.science/hal-02868096/document
%2 https://enac.hal.science/hal-02868096/file/AIAA_AVIATION_2020.pdf
%L hal-02868096
%U https://enac.hal.science/hal-02868096
%~ ENAC
%~ INSMI
%~ TDS-MACS
%~ OPTIM
%~ ENAC-MATHS