Multidisciplinary design optimization of advanced aircraft configurations

Giunta, Anthony A.; Golividov, O.; Knill, Duane L.; Grossman, Bernard; Mason, William H.; Watson, Layne T.; Haftka, Raphael T.

doi:10.1007/bfb0107076

Cited by 18 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…7 Based on that work, an appreciation of the design issues and some general guidelines emerged. 8,9 We applied our approaches to the strut-braced wing design. The initial framework for the MDO problem was developed by Grasmeyer.…”

Section: The Computational Design Of Strut-braced Wing Concepts Usingmentioning

confidence: 99%

Transport Weight Reduction Through MDO: The Strut-Braced Wing Transonic Transport

Gern

Llc

et al. 2005

35th AIAA Fluid Dynamics Conference and Exhibit

View full text Add to dashboard Cite

Multidisciplinary Design Optimization (MDO) has been used to investigate the use of a new concept for a transonic transport, the strut-braced wing. The incorporation of a strut into more traditional transonic transport concepts required the application of computational design techniques that had been developed at Virginia Tech over the previous decade. Formalized MDO methods were required to reveal the benefits of the tightly coupled interaction between the wing structural weight and the aerodynamic performance. To perform this study, a suite of approximate analysis tools was assembled into a complete, conceptual-level MDO code. A typical mission of the Boeing 777-200IGW was chosen as the design mission profile. Several single-strut configurations were optimized for minimum takeoff gross weight, with the best single-strut configuration showing a nearly20% reduction in takeoff gross weight, a 29% reduction in fuel weight, a 28% increase in the lift-to-drag ratio, and a 41% increase in seat-miles per gallon relative to a comparable cantilever configuration. The use of aeroelastic tailoring in the design illustrated ways to obtain further benefits. The paper synthesizes the results of the five-year effort, and concludes with a discussion of the effects various constraints have on the design, and lessons learned on computational design during the project.

show abstract

Section: The Computational Design Of Strut-braced Wing Concepts Usingmentioning

confidence: 99%

Transport Weight Reduction Through MDO: The Strut-Braced Wing Transonic Transport

Gern

Llc

et al. 2005

35th AIAA Fluid Dynamics Conference and Exhibit

View full text Add to dashboard Cite

show abstract

“…The strong coupling between aerodynamics and structures has motivated aircraft designers to apply MDO techniques to aerostructural design problems. Previous work in this area has focused on minimizing the total drag or maximizing the aircraft range by simultaneously optimizing the structural and aerodynamic design variables [1,2,3]. In order to improve aircraft efficiency, researchers have also investigated nonplanar lifting surface configurations, where aerostructural optimization are performed to find optimal configurations, such as C-wings, joined wings, and winglets [4,5].…”

Section: Introductionmentioning

confidence: 99%

Aeroservoelastic Design Optimization of a Flexible Wing

Haghighat

Martins

Liu

2012

Journal of Aircraft

View full text Add to dashboard Cite

In this paper a multidisciplinary design optimization framework is developed that integrates control system design with aerostructural design. The equations of motion are derived for a flexible aircraft and used to perform aeroservoelastic analysis. The objective of this framework is to go beyond the current limits of aircraft performance through simultaneous design optimization of aerodynamic shape, structural sizing and control system. The control system uses load alleviation to reduce the critical structural loads. Time-domain analysis of the aircraft performing an altitude change maneuver and encountering an atmospheric gust is included in the design process. The optimal trade-off between aerodynamics, structures and control system is found by maximizing the endurance subjected to stress and maneuverability constraints. Two cases -with and without load alleviation system -are considered. Due to the proposed MDO framework, the inclusion of load alleviation system in design leads to a significant increase in endurance performance.

show abstract

“…An integral component of these design studies is the development of response surfaces describing vehicle performance characteristics as functions of the various geometrical design parameters. Essentially, the response surfaces provide a method for abstracting the results of a simulation [1]. A response surface may be generated using tools of differing fidelity, i.e., variable complexity modeling [1].…”

Section: Introductionmentioning

confidence: 99%

“…Essentially, the response surfaces provide a method for abstracting the results of a simulation [1]. A response surface may be generated using tools of differing fidelity, i.e., variable complexity modeling [1]. Because of various factors associated with the simulations, e.g., incomplete convergence of iterative methods, round-off errors, and truncation errors [2], numerical noise may be present in the response surfaces.…”

Section: Introductionmentioning

confidence: 99%

“…When such noise occurs, the optimization procedure may be slow to converge or converge to an erroneous local extrema in the design space. This can be partially obviated through the use of response surface modeling [1]. The response surfaces typically include force and moment components and consist of the outputs from a series of CFD simulations.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improvements to Response-Surface Based Vehicle Design Using a Feature-Centric Approach

Thompson

Parthasarathy

Machiraju

et al. 2004

Computational Science - ICCS 2004

View full text Add to dashboard Cite

Abstract. In this paper, we present our vision for a framework to facilitate computationally-based aerospace vehicle design by improving the quality of the response surfaces that can be developed for a given cost. The response surfaces are developed using computational fluid dynamics (CFD) techniques of varying fidelity. We propose to improve the quality of a given response surface by exploiting the relationships between the response surface and the flow features that evolve in response to changes in the design parameters. The underlying technology, generalized feature mining, is employed to locate and characterize features as well as provide explanations for feature-feature and feature-vehicle interactions. We briefly describe the components of our framework and outline two different strategies to improve the quality of a response surface. We also highlight ongoing efforts.

show abstract

Multidisciplinary design optimization of advanced aircraft configurations

Cited by 18 publications

References 10 publications

Transport Weight Reduction Through MDO: The Strut-Braced Wing Transonic Transport

Transport Weight Reduction Through MDO: The Strut-Braced Wing Transonic Transport

Aeroservoelastic Design Optimization of a Flexible Wing

Improvements to Response-Surface Based Vehicle Design Using a Feature-Centric Approach

Contact Info

Product

Resources

About