Cited by 155Advanced Aircraft Design and TechnologiesAir Traffic Management and OptimizationAdvanced Multi-Objective Optimization Algorithms

Framework for Aircraft Conceptual Design and Environmental Performance Studies

Antoine, Nicolas E., Kroo, Ilan M.·2005·AIAA Journal

Abstract

Although aircraft environmental impact has been a concern since the beginning of commercial aviation, continuous growth in passenger traffic and increasing public awareness make aircraft noise and emissions critical considerations in the design of future aircraft. This research explores the feasibility of including environmental performance as an optimization objective at the aircraft conceptual design stage, allowing a quantitative analysis of the trade-offs between environmental performance and operating cost. A program for aircraft design and optimization was developed, using a multiobjective genetic algorithm to determine optimal aircraft configurations and to estimate the sensitivities between the conflicting objectives of low noise, low emissions, and operating costs. The design tool is based on a new application integration framework incorporating a detailed noise prediction code, engine simulator, and aircraft analysis and optimization modules. This paper describes the framework and design approach, including initial results that illustrate environmental performance trades and explore the feasibility of very low-noise and low-emissions designs that could dramatically decrease the environmental impact of commercial aviation. I.

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Crossref · 10.2514/1.13017

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Authors
Antoine, N. E., & Kroo, I. M.
Affiliations
Stanford University (US)
Venue
AIAA Journal
Published
2005-10
Volume
43
Issue
10
Pages
2100-2109
ISSN
  • 0001-1452 (ISSN-L)
  • 1533-385X
OpenAlex
W2107866430
Cited by
155
References
0
Citations by year
2026: 4 · 2024: 6 · 2023: 8 · 2022: 6 · 2021: 11 · 2020: 8 · 2019: 10 · 2018: 10 · 2017: 12 · 2016: 13 · 2015: 9 · 2014: 7 · 2013: 7 · 2012: 12
FWCI
2.86
Type
journal article
Language
en
Open access
closed
Locations
AIAA Journal (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Advanced Aircraft Design and Technologies
  • Physical Sciences › Engineering › Aerospace Engineering › Air Traffic Management and Optimization
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Advanced Multi-Objective Optimization Algorithms
Keywords
conceptual aircraft design, aircraft noise, aviation emissions, multi-objective optimization, genetic algorithm, operating costs, noise prediction, engine simulation, design tool integration

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