Issue 10 Volume 41 May 16, 2003
Issue 10 Volume 41 May 16, 2003
Issue 10 Volume 41 May 16, 2003
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established, a baseline concept is created. Next, the design space is explored to determine the feasibility and viability of the<br />
baseline aircraft configuration. If the design is neither feasible nor viable, new technologies can be implemented to open up<br />
the feasible design space and allow for a plausible solution. After the new technologies are identified, they must be evaluated<br />
to determine the physical compatibility of integrating multiple technologies and then the impact on the design, both<br />
improvements and degradations, must be determined. These technologies are assessed deterministically. Again, Response<br />
Surface Equations (RSEs) are developed to allow for a full factorial evaluation of the combinations of the technologies. The<br />
best combination of technologies is selected and then the design space is again reevaluated for feasibility and viability.<br />
Author<br />
Passenger Aircraft; Design Analysis; Product Development; Aircraft Design; Design Optimization; Commercial Aircraft<br />
<strong>2003</strong>0032965 Georgia Inst. of Tech., Atlanta, GA, USA<br />
Exploration of Advanced Probabilistic and Stochastic Design Methods<br />
Mavris, Dimitri N.; March 31, <strong>2003</strong>; 46 pp.; In English; Original contains color illustrations<br />
Contract(s)/Grant(s): NAG1-2235; No Copyright; Avail: CASI; C01, CD-ROM; A03, Hardcopy<br />
The primary objective of the three year research effort was to explore advanced, non-deterministic aerospace system<br />
design methods that may have relevance to designers and analysts. The research pursued emerging areas in design<br />
methodology and leverage current fundamental research in the area of design decision-making, probabilistic modeling, and<br />
optimization. The specific focus of the three year investigation was oriented toward methods to identify and analyze emerging<br />
aircraft technologies in a consistent and complete manner, and to explore means to make optimal decisions based on this<br />
knowledge in a probabilistic environment. The research efforts were classified into two main areas. First, Task A of the grant<br />
has had the objective of conducting research into the relative merits of possible approaches that account for both multiple<br />
criteria and uncertainty in design decision-making. In particular, in the final year of research, the focus was on the comparison<br />
and contrasting between three methods researched. Specifically, these three are the Joint Probabilistic Decision-Making<br />
(JPDM) technique, Physical Programming, and Dempster-Shafer (D-S) theory. The next element of the research, as contained<br />
in Task B, was focused upon exploration of the Technology Identification, Evaluation, and Selection (TIES) methodology<br />
developed at ASDL, especially with regards to identification of research needs in the baseline method through implementation<br />
exercises. The end result of Task B was the documentation of the evolution of the method with time and a technology transfer<br />
to the sponsor regarding the method, such that an initial capability for execution could be obtained by the sponsor. Specifically,<br />
the results of year 3 efforts were the creation of a detailed tutorial for implementing the TIES method. Within the tutorial<br />
package, templates and detailed examples were created for learning and understanding the details of each step. For both<br />
research tasks, sample files and tutorials are attached in electronic form with the enclosed CD.<br />
Author<br />
Design Optimization; Decision Making; Stochastic Processes<br />
<strong>2003</strong>0033934 California Polytechnic State Univ., San Luis Obispo, CA, USA<br />
Runway Independent Aircraft Extremely Short Takeoff and Landing Regional Airliner: The Model 1<strong>10</strong><br />
Hall, David W.; April 15, <strong>2003</strong>; 43 pp.; In English; Original document contains extra large color foldouts which cannot be<br />
scanned. Original doucment also contains color illustrations.<br />
Contract(s)/Grant(s): NCC2-5508; No Copyright; Avail: CASI; A03, Hardcopy<br />
Airports throughout the USA are plagued with growing congestion. With the increase in air traffic predicted in the next<br />
few years, congestion will worsen. The accepted solution of building larger airplanes to carry more travelers is no longer a<br />
viable option, as airports are unable to accommodate larger aircraft without expensive infrastructure changes. Past NASA<br />
research has pointed to the need for a new approach, which can economically and safely utilize smaller airports. To study this<br />
option further, NASA requested the California Polytechnic State University at San Luis Obispo (Cal Poly/SLO) to design a<br />
baseline aircraft to be used for system studies. The requirements put forth by NASA are summarized. The design team was<br />
requested to create a demonstrator vehicle, which could be built without requiring enabling technology development. To this<br />
end, NASA requested that the tested and proven high-lift system of the Boeing C-17 Globemaster III be combined with the<br />
fuselage of the BAe-146. NASA also requested that Cal Poly determine the availability and usability of underutilized airports<br />
starting with California, then expanding if time and funds permitted to the U.S.<br />
Derived from text<br />
Aircraft Landing; Runways; Aircraft Models; Short Takeoff Aircraft; Aircraft Performance; Aircraft Design<br />
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