An approach for space launch vehicle conceptual design and multi-attribute evaluation

Ullah, Rizwan; Zhou, Dequn; Zhou, Peng; Hussain, Mukarrum; Sohail, Muhammad

doi:10.1016/j.ast.2011.12.008

Cited by 33 publications

(8 citation statements)

References 24 publications

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“…In this sense, product design is seen as the most important competition factor to survive in today's highly competitive business environment. The product design process can be divided into four main phases: problem analysis, conceptual design, technical design, and detailed design [2]. As shown in Fig.1, the impact of design decisions is initially very high, and declines steeply as the design matures.…”

Section: Introductionmentioning

confidence: 99%

SPA-based approach to decision making in conceptual design

Peng

2013

2013 25th Chinese Control and Decision Conference (CCDC)

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Conceptual design selection is the most critical part of the design process as it determines the direction of subsequent design stages. In addition, it is a difficult task because available information for decision making at this stage is imprecise and subjective. Set pair analysis (SPA) is the very tool to deal with concept design selection. In decision making process, first identify weights with identity matrix derived from decision maker's (DM's) judgment matrices, second identify the identity, discrepancy and contradiction between alternatives and the ideal solution, and third identify closeness. The greater the closeness, the more the alternative approaches to ideal solution. Finally, taking speed reducer design scheme for example, this paper elaborates ranking procedure, and by comparison of the SPA's result with fuzzy comprehensive evaluation, further illustrates the effectiveness and practicability of the proposed approach.

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Section: Introductionmentioning

confidence: 99%

SPA-based approach to decision making in conceptual design

Peng

2013

2013 25th Chinese Control and Decision Conference (CCDC)

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“…Design freedom is also high, making it an ideal time to change aspects of the system one way or another to investigate trades. Downstream metrics such as reliability, safety, manufacturability, and operations cost will also be impacted by concept down selection during this phase, [3][4][5][6] leading to a commitment of up to 80% of the Life Cycle Cost of the system. 3 Therefore, trades during this early phase are tantamount to the success of a system's program, so that design pitfalls can be identified and assuaged early while they are cheap.…”

Section: Introductionmentioning

confidence: 99%

Augmenting Conceptual Design Trajectory Tradespace Exporation with Graph Theory

et al. 2016

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Within conceptual design changes occur rapidly due to a combination of uncertainty and shifting requirements. To stay relevant in this fluid time, trade studies must also be performed rapidly. In order to drive down analysis time while improving the information gained by these studies, surrogate models can be created to represent the complex output of a tool or tools within a specified tradespace. In order to create this model however, a large amount of data must be collected in a short amount of time. By this method, the historical approach of relying on subject matter experts to generate the data required is schedule infeasible. However, by implementing automation and distributed analysis the required data can be generated in a fraction of the time. Previous work focused on setting up a tool called multiPOST capable of orchestrating many simultaneous runs of an analysis tool assessing these automated analyses utilizing heuristics gleaned from the best practices of current subject matter experts. In this update to the previous work, elements of graph theory are included to further drive down analysis time by leveraging data previously gathered. It is shown to outperform the previous method in both time required, and the quantity and quality of data produced.

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“…Other vehicle metrics such as reliability, safety, manufacturability, and operations cost will also be impacted by concept down selection. [4][5][6][7] Due to the broad effect of these early design decisions, upwards of 80% of the vehicle's life-cycle cost is committed during early design. 4 Since affordability is a function of life-cycle cost it will be profoundly impacted by the decisions made during conceptual design.…”

Section: Introductionmentioning

confidence: 99%

“…As an example, for launch vehicles, exploration of large trade spaces can be achieved using the rocket equation for performance estimation. 6 This analysis simplifies the trajectory and structural analysis into a mass ratio and gravity constant. Thousands of vehicle concepts can be evaluated in this manner, but an accurate picture of the expected vehicle performance requires the use of higher fidelity trajectory tools to accurately capture ascent losses.…”

Section: Introductionmentioning

confidence: 99%