Aircraft rudder optimization - A multi-level and knowledge-enabled approach

Wit, A.J. de; Lammen, W.F.; Vankan, W.J.; Timmermans, Huub; Laan, T. van der; Ciampa, Pier Davide

doi:10.1016/j.paerosci.2020.100650

Cited by 4 publications

(5 citation statements)

References 6 publications

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“…Aerodynamic shape design is a popular field that focuses on optimizing the airfoil, wing, fuselage, control surfaces [452], tail, and other aerodynamic-related parts of an aircraft. Especially when it is combined with computational fluid dynamics (CFD), ASO becomes an important approach in modern aircraft design.…”

Section: Aerodynamicsmentioning

confidence: 99%

Nature-Inspired Algorithms from Oceans to Space: A Comprehensive Review of Heuristic and Meta-Heuristic Optimization Algorithms and Their Potential Applications in Drones

Darvishpoor,

Darvishpour,

Escarcega

et al. 2023

Drones

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This paper reviews a majority of the nature-inspired algorithms, including heuristic and meta-heuristic bio-inspired and non-bio-inspired algorithms, focusing on their source of inspiration and studying their potential applications in drones. About 350 algorithms have been studied, and a comprehensive classification is introduced based on the sources of inspiration, including bio-based, ecosystem-based, social-based, physics-based, chemistry-based, mathematics-based, music-based, sport-based, and hybrid algorithms. The performance of 21 selected algorithms considering calculation time, max iterations, error, and the cost function is compared by solving 10 different benchmark functions from different types. A review of the applications of nature-inspired algorithms in aerospace engineering is provided, which illustrates a general view of optimization problems in drones that are currently used and potential algorithms to solve them.

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Section: Aerodynamicsmentioning

confidence: 99%

Nature-Inspired Algorithms from Oceans to Space: A Comprehensive Review of Heuristic and Meta-Heuristic Optimization Algorithms and Their Potential Applications in Drones

Darvishpoor,

Darvishpour,

Escarcega

et al. 2023

Drones

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“…Meanwhile, the hierarchical structure of ATC enables traceability of the design process. Therefore, ATC has been widely used in the optimization design of aircraft in recent years [53].…”

Section: Classification Of Mdo Architecturesmentioning

confidence: 99%

A Review of Uncertainty-Based Multidisciplinary Design Optimization Methods Based on Intelligent Strategies

Wang,

Fan,

Qiang

2023

Symmetry

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The design of aerospace systems is recognized as a complex interdisciplinary process. Many studies have shown that the exchange of information among multiple disciplines often results in strong coupling and nonlinearity characteristics in system optimization. Meanwhile, inevitable multi-source uncertainty factors continuously accumulate during the optimization process, greatly compromising the system’s robustness and reliability. In this context, uncertainty-based multidisciplinary design optimization (UMDO) has emerged and has been preliminarily applied in aerospace practices. However, it still encounters major challenges, including the complexity of multidisciplinary analysis modeling, and organizational and computational complexities of uncertainty analysis and optimization. Extensive research has been conducted recently to address these issues, particularly uncertainty analysis and artificial intelligence strategies. The former further enriches the UMDO technique, while the latter makes outstanding contributions to addressing the computational complexity of UMDO. With the aim of providing an overview of currently available methods, this paper summarizes existing state-of-the art UMDO technologies, with a special focus on relevant intelligent optimization strategies.

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“…Based on these aspects, a Surrogate Model Repository (SMR) has been developed at NLR [6]. The SMR is defined as central broker for registration, storage, deployment, sharing, and usage of surrogate models so that these may be shared and reused in collaborations in a managed way.…”

Section: Surrogate Model Repository -Smrmentioning

confidence: 99%

“…This paper can only give a global illustration of the application of the BRICS and SMR technologies in a collaborative aircraft design use case. The full details of this use case cannot be presented here, but are extensively reported in a previous paper [6].…”

Section: Application -Rudder Design Use Casementioning

confidence: 99%

Multidisciplinary Modelling, Analysis and Optimization for Aircraft and System Level Design and Validation

Vankan

Lammen

Baalbergen

2022

Advances in Computational Methods and Technologies in Aeronautics and Industry

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Against the background of the big environmental and societal challenges as formulated for example in Flightpath 2050, current developments in aircraft design are aiming at further emission reduction through integrated, unconventional propulsion, systems and airframe innovations. This requires the further integration of methods for multidisciplinary modelling, analysis and optimization for aircraft design, but also for propulsion and system level designs. Moreover, experimental validation of the methods and physical testing of critical unconventional propulsion and system designs are prerequisites for industrially relevant development processes. This paper presents some key technologies for computationally efficient collaborative MDO (multidisciplinary design and optimization) frameworks for multidisciplinary design and validation of advanced aeronautic products like aircraft and propulsion systems.

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Aircraft rudder optimization - A multi-level and knowledge-enabled approach

Cited by 4 publications

References 6 publications

Nature-Inspired Algorithms from Oceans to Space: A Comprehensive Review of Heuristic and Meta-Heuristic Optimization Algorithms and Their Potential Applications in Drones

Nature-Inspired Algorithms from Oceans to Space: A Comprehensive Review of Heuristic and Meta-Heuristic Optimization Algorithms and Their Potential Applications in Drones

A Review of Uncertainty-Based Multidisciplinary Design Optimization Methods Based on Intelligent Strategies

Multidisciplinary Modelling, Analysis and Optimization for Aircraft and System Level Design and Validation

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