Pareto-Optimal Aircraft Technology Study for Environmental Benefits with Multi-Objective Optimization

Jiménez, Hernando; Mavris, Dimitri N.

doi:10.2514/1.c033688

Cited by 10 publications

(5 citation statements)

References 16 publications

(26 reference statements)

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“…58 This method uses a posteriori articulation of preferences, where the Multi-Objective Decision Making (MODM) process is run to obtain Pareto-optimal solutions. A multi-objective genetic algorithm is used by Jimenez et al 59 to generate a set of Pareto-optimal technology combinations and the results show promising technologies to reach aircraft environmental goals in a decade.…”

Section: Flexibility and Scalability Of Disciplinary Analysis Tools Imentioning

confidence: 99%

Uncertainty-Based Design Optimization and Technology Evaluation: A Review

Roelofs

Vos

2018

2018 AIAA Aerospace Sciences Meeting

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Evaluation and assessment of novel technologies for aerospace applications is essential for business strategy and decision making regarding development efforts. Since technology is evaluated in the conceptual design phase and little is known about the technology, large uncertainty is present. This uncertainty needs to be accurately assessed and managed. To investigate the research efforts that have been performed to perform technology evaluation under uncertainty, a literature review was conducted, focusing on methods and modeling approaches to assign and quantify these uncertainties. It is found that probability theory is still the most popular theory for representing uncertainty. Polynomial Chaos Expansions and Stochastic Collocation methods are gaining popularity for propagating uncertainty through a modeling environment, but Monte Carlo Simulations are still widely used. Commonly, surrogate models are used to reduce computational effort. Other efforts focus on the use of multifidelity approaches to reduce computational effort when high-fidelity methods are required. Four issues that may need to be addressed in future research were identified.

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Section: Flexibility and Scalability Of Disciplinary Analysis Tools Imentioning

confidence: 99%

Uncertainty-Based Design Optimization and Technology Evaluation: A Review

Roelofs

Vos

2018

2018 AIAA Aerospace Sciences Meeting

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“…Enabling a large number of scenarios to be computed in a short period of time, this statistically based classification and selection of representative-in-class vehicles can therefore be especially useful for multi-objective optimization analysis of aircraft technologies for minimizing environmental impact (Afonso et al, 2017;Jimenez and Mavris, 2017), aircraft route optimization for minimizing aircraft noise and emissions (Li et al, 2015), and economicenvironmental tradeoffs analysis (Rosskopf et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Aircraft classification for efficient modelling of environmental noise impact of aviation

Torija

Self

2018

Journal of Air Transport Management

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With the environmental externalities of civil aviation under unprecedented scrutiny, and with the projected significant increase in air traffic demand over the next few decades, fleet-level studies are required to assess the potential benefit of novel aircraft technologies and operational procedures for minimising environmental impact of aviation. Using a statistical classification process, the UK commercial aircraft fleet is reduced to four representative-in-class aircraft on the basis of aircraft physical characteristics, and aircraft noise and engine exhaust emissions. These four representative aircraft, that appropriately capture the noise and emissions characteristics for each category within the UK commercial fleet, are also selected to be used as baseline cases for the high-level assessment of the environmental benefit of novel aircraft technologies. For the particular case of aviation noise, the modelling tools are highly sensitive to the number of aircraft types in the flight schedule. A reduction of about 80% in computational time with relatively minor decrease in accuracy (between-4% and +5%) is observed when the whole aircraft fleet is replaced with the four representative-in-class aircraft for computing noise contours. Therefore, the statistical classification and selection of representative-in-class aircraft presented in this paper is a valid approach for the rapid and accurate computation of a large number of exploratory cases to assess aviation noise reduction strategies.

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“…Most recently, Jimenez H and Mavris D. [9] developed a study on the application of multiobjective optimization to aircraft design for environmental benefits. The study aims to identify the Pareto-optimal solutions for aircraft design considering multiple objectives such as fuel consumption, noise, and emissions.…”

Section: Overview Of Current Studies In Aircraft Designmentioning

confidence: 99%

Algorithm for Optimizing the Design Parameters of a Light Transport Aircraft at the Stage of Preliminary Design

Han

2023

E3S Web Conf.

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In this paper, the optimization of design parameters of light transport aircraft has been carried out. The proposed algorithm, in this paper, provides the calculation of the optimal values of take-off weight and fuel efficiency coefficient taking into account the geometric parameters of the aircraft wing, i.e., aspect ratio and taper ratio using genetic algorithm for multi-objective optimization. The design parameters obtained by the Pareto front are presented and compared with the similar type of aircraft.

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Pareto-Optimal Aircraft Technology Study for Environmental Benefits with Multi-Objective Optimization

Cited by 10 publications

References 16 publications

Uncertainty-Based Design Optimization and Technology Evaluation: A Review

Uncertainty-Based Design Optimization and Technology Evaluation: A Review

Aircraft classification for efficient modelling of environmental noise impact of aviation

Algorithm for Optimizing the Design Parameters of a Light Transport Aircraft at the Stage of Preliminary Design

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