NDLI: Data mining for multidisciplinary design space of regional-jet wing

Content Provider	IEEE Xplore Digital Library
Author	Chiba, K. Jeong, S. Obayashi, S. Morino, H.
Copyright Year	2003
Description	Author affiliation: Inst. of Space Technol. & Aeronaut., Japan Aerosp. Exploration Agency, Tokyo, Japan (Chiba, K.)
Abstract	The data mining technique is an important facet of solving multi-objective optimization problem because it is one of the effective manners to discover the design knowledge in the multi-objective optimization problem which obtains large data. In the present study, two data mining techniques have been performed for a large-scale, real-world multidisciplinary design optimization (MDO) to provide knowledge regarding the design space. The MDO among aerodynamics, structures, and aeroelasticity of the regional-jet wing was carried out using high-fidelity evaluation models on adaptive range multi-objective genetic algorithm. As a result, nine non-dominated solutions were generated and used for tradeoff analysis among three objectives. All solutions evaluated during the evolution were analyzed for the influence of design variables using a self-organizing map (SOM) and a functional analysis of variance (ANOVA) to extract key features of the design space. SOM and ANOVA compensated with the respective disadvantages, and then the design knowledge could be obtained more clearly by the combination between them. Although the MDO results showed the inverted gull-wings as non-dominated solutions, one of the key features found by data mining was the non-gull wing geometry. When this knowledge was applied to one optimum solution, the resulting design was found to have better performance compared with the original geometry designed in the conventional manner.
Starting Page	2333
Ending Page	2340
File Size	5687629
Page Count	8
File Format	PDF
ISBN	0780393635
DOI	10.1109/CEC.2005.1554985
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-02
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Analysis of variance Design optimization Geometry Aerospace industry Aerodynamics Space technology Automotive components Electronic mail Large-scale systems
Content Type	Text
Resource Type	Article

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