Stagewise Multidisciplinary Design Optimization Formulation for Optimal Design of  Expendable Launch Vehicles

Balesdent, Mathieu; Bérend, Nicolas; Dépincé, Philippe

doi:10.2514/1.52507

Cited by 14 publications

(9 citation statements)

References 12 publications

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“…The second formulation is a multi-level approach inspired from SWORD (Balesdent et al, 2012a), which has been modified to take into account uncertainty and to maintain the equivalence with coupled approaches in terms of multidisciplinary feasibility. This formulation ( Figure 7), named multi-level hierarchical optimization under uncertainty (MHOU) (Brevault et al, 2015), introduces multi-level optimization of the disciplines and is particularly adapted for launch vehicle design.…”

Section: Mdo Methodologies Under Uncertainty For Launch Vehicle Designmentioning

confidence: 99%

“…Exploiting these specificities in a dedicated MDO formulation might improve the launch vehicle design process. Specific formulations for launch vehicle design have been proposed such as the Stage-Wise decomposition for Optimal Rocket Design (SWORD) (Balesdent et al, 2012a). The classical MDO approaches, as illustrated in the previous paragraph, decompose the design process according to the involved disciplines (propulsion, aerodynamics, sizing, trajectory, etc.…”

Section: Deterministic Mdo Methodologies For Launch Vehicle Designmentioning

confidence: 99%

“…The problem to be solved is the optimization of a threestage cryogenic launch vehicle including 40 design variables (trajectory command law, propellant masses, stage diameters, propulsion chamber pressures, etc.) (Balesdent, 2011). The objective function to be minimized is the GLOW.…”

Section: Stage-wise Decomposition For Optimal Rocket Designmentioning

confidence: 99%

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Preliminary study on launch vehicle design: Applications of multidisciplinary design optimization methodologies

Brevault

Balesdent

Defoort

2017

Concurrent Engineering

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The design of complex systems such as launch vehicles involves different fields of expertise that are interconnected. To perform multidisciplinary studies, concurrent engineering aims at providing a collaborative environment which often relies on data set exchange. In order to efficiently achieve system-level analyses (uncertainty propagation, sensitivity analysis, optimization, etc.), it is necessary to go beyond data set exchange which limits the capabilities of performance assessments. Multidisciplinary design optimization methodologies is a collection of engineering methodologies to optimize systems modelled as a set of coupled disciplinary analyses and is a key enabler to extend concurrent engineering capabilities. This article is focused on several examples of recent developments of multidisciplinary design optimization methodologies (e.g. multidisciplinary design optimization with transversal decomposition of the design process, multidisciplinary design optimization under uncertainty) with applications to launch vehicle design to illustrate the benefices of taking into account the coupling effects between the different physics all along the design process. These methods enable to manage the complexity of the involved physical phenomena and their interactions in order to generate innovative concepts such as reusable launch vehicles beyond existing solutions.

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Section: Mdo Methodologies Under Uncertainty For Launch Vehicle Designmentioning

confidence: 99%

Section: Deterministic Mdo Methodologies For Launch Vehicle Designmentioning

confidence: 99%

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Preliminary study on launch vehicle design: Applications of multidisciplinary design optimization methodologies

Brevault

Balesdent

Defoort

2017

Concurrent Engineering

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“…1,2 This bi-level method splits up the LVD problem according to the different flight phases and transforms the global MDO problem into the 1 ONERA -The French Aerospace Laboratory, France 2 IRCCyN-Systems Engineering Products, Performance and Perceptions Department, France coordination of smaller ones. Each stage is optimized individually and the different stages are coordinated through the trajectory optimization.…”

Section: Introductionmentioning

confidence: 99%

New multidisciplinary design optimization approaches for launch vehicle design

Balesdent

Bérend

Dépincé³

2012

Proceedings of the Institution of Mechanical Engineers, Part G:

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Launch vehicle design is a complex problem involving a series of disciplines. These disciplines present conflicting objectives and require multidisciplinary design optimization methods in order to handle the couplings and to make the search of compromises easier. Launch vehicle design problem is a specific multidisciplinary design optimization problem because it combines the optimizations of design and trajectory variables. In this article, we present a new multidisciplinary design optimization approach, called the StageWise decomposition for Optimal Rocket Design (SWORD). This method splits up the multidisciplinary design optimization process into different stages and transforms the initial multidisciplinary design optimization problem into the coordination of elementary ones. This method is compared to the standard multidisciplinary design optimization method (multidiscipline feasible method). In this article, we propose a new formulation of the SWORD method and a new dedicated optimization strategy. Results show that using a global search algorithm, the stagewise decomposition for optimal rocket design method allows to find a better optimum than multidiscipline feasible method. Furthermore, with the new proposed optimization strategy, the SWORD method does not require any initialization from the user, allows to quickly find feasible solutions and converge to an optimum in a limited computation time.

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“…1 Multidisciplinary design optimization (MDO) can be described as a methodology for the design of systems where the interaction between several disciplines must be considered, and where the designer is free to significantly affect the system performance in more than one discipline, 2 MDO has attracted great interests of many scholars in the aerospace industry. [3][4][5][6][7][8][9] Based on an MDO framework, Stelmack et al 10 designed an aircraft brake assembly. Design improvement was achieved by a practical number of system realizations.…”

Section: Introductionmentioning

confidence: 99%

Study on multidisciplinary design optimization of a 2-degree-of-freedom robot based on sensitivity analysis and structural analysis

Zhang

Liu

Wang

et al. 2017

Advances in Mechanical Engineering

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The optimization design of a robot was usually conducted by the sequential design, which, however, neglected the interactive impacts of different disciplines. To address this shortage, this article presents a design multidisciplinary optimization procedure for a 2-degree-of-freedom robot. In the proposed design optimization, four disciplines are involved, which are composed of kinematics, dynamics, structure, and control. The coupling relationship among the four disciplines is analyzed based on variable sensitivity analysis. A collaborative optimization is proposed to obtain the optimum values of the system-level optimization. With the method of a genetic algorithm, the individual discipline optimization is executed to obtain the subsystem optimum values. The optimized 2-degree-of-freedom robot is able to synthesize an optimum function value and simultaneously shows a good satisfaction to the requirement of all constraints. The structural analysis results demonstrate that the multidisciplinary design optimization is successfully applied to the multi-degree-of-freedom robot design and provides a beneficial reference for the design of more complicated mechanical system.

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Stagewise Multidisciplinary Design Optimization Formulation for Optimal Design of Expendable Launch Vehicles

Cited by 14 publications

References 12 publications

Preliminary study on launch vehicle design: Applications of multidisciplinary design optimization methodologies

Preliminary study on launch vehicle design: Applications of multidisciplinary design optimization methodologies

New multidisciplinary design optimization approaches for launch vehicle design

Study on multidisciplinary design optimization of a 2-degree-of-freedom robot based on sensitivity analysis and structural analysis

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