Application of advanced multidisciplinary analysis and optimization methods to vehicle design synthesis

1992 ◽  
Vol 29 (5) ◽  
pp. 811-818 ◽  
Author(s):  
Robert David Consoli ◽  
Jaroslaw Sobieszczanski-Sobieski
Keyword(s):  
Optimization Methods ◽  
Vehicle Design ◽  
Design Synthesis ◽  
Multidisciplinary Analysis

scholarly journals On the Design Synthesis of Multistable Equilibrium Systems

2004 ◽  
Author(s):  
Carey W. King ◽  
Matthew I. Campbell ◽  
Joseph J. Beaman
Keyword(s):  
Potential Energy ◽  
Potential Energy Curve ◽  
Optimization Methods ◽  
Energy Curve ◽  
Stable Configuration ◽  
Stable States ◽  
Design Synthesis ◽  
Performance Space ◽  
Equilibrium Configurations ◽  
A Performance

Multistable equilibrium (MSE) systems are a type of adaptable system that can have multiple mechanical configurations requiring no power to maintain the stable configurations. Thus, power is only needed to move among the stable states, and each stable configuration represents a level of adaptability. Since stable equilibrium configurations can be defined by potential energy minima, we base the design of MSE systems on shaping the potential energy curve at desired equilibrium configurations. This view allows one to construct a performance space defined by how well candidate systems meet a desired potential energy curve. By using a Monte Carlo mapping to link the performance space to the design space in tandem with stochastic optimization methods, the designer determines whether or not a certain system topology can be designed as a MSE system. Qualitative and quantitative mapping procedures enable the designer to decide whether or not the desired design lies near the center or periphery of a performance space. This dictates how the optimization is to be executed which in turn informs the designer as to whether or not a feasible limit in the system performance has indeed been reached.

Demonstration of a prototype design synthesis capability for space access vehicle design

2020 ◽  
Vol 124 (1281) ◽  
pp. 1761-1788
Author(s):  
L. Rana ◽  
B. Chudoba
Keyword(s):  
Life Cycle ◽  
Conceptual Design ◽  
Life Cycle Cost ◽  
Best Practice ◽  
Synthesis Process ◽  
Vehicle Design ◽  
Design Decision ◽  
Design Synthesis ◽  
Design Life ◽  
Synthesis Methodology

ABSTRACTThe early conceptual design (CD) phase of space access vehicles (SAVs) is the most abstract, innovative and technologically challenging phase of the entire aerospace design life cycle. Although the design decision-making during this phase influences around 80 percent of the overall life cycle cost, it is the most abstract and thus least understood phase of the entire design life cycle. The history of SAV design provides numerous examples of project failures that could have been avoided if the decision-maker had had the capability to forecast the potential risks and threats correctly ahead of time during the conceptual design phase. The present study addresses this crucial phase and demonstrates a best-practice synthesis methodology prototype to advance the current state of the art of CD as applied to SAV design. Developed by the Aerospace Vehicle Design (AVD) Laboratory at the University of Texas at Arlington (UTA), the Aerospace Vehicle Design Synthesis process and software (AVDS) is a prototype solution for a flight vehicle configuration–flexible (generic) design synthesis capability that can be applied to the primary categories of SAVs. This study focusses on introducing AVDS, followed by the demonstration and verification of the system’s capability through a sizing case study based on the data-rich Boeing X-20 Dyna-Soar spaceplane.

scholarly journals A Paradigm-Shift in Aerospace Vehicle Design Synthesis and Technology Forecasting

2018 ◽  
Author(s):  
Loveneesh Rana ◽  
Thomas McCall ◽  
James Haley ◽  
Lex Gonzalez ◽  
Amen Omoragbon ◽  
...  
Keyword(s):  
Paradigm Shift ◽  
Vehicle Design ◽  
Technology Forecasting ◽  
Design Synthesis
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