JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Design of Structure Using Orthogonal Array Considering Interactions in Discrete Design Spaces
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Design of Structure Using Orthogonal Array Considering Interactions in Discrete Design Spaces
Hwang, Gwang-Hyeon; Gwon, U-Seong; Lee, Gwon-Hui; Park, Gyeong-Jin;
  PDF(new window)
 Abstract
The design of experiment(DOE) is getting more attention in the engineering community since it is easy to understand and apply. Recently, engineering designers are adopting DOE with orthogonal arrays when they want to design products in a discrete design space. In this research, a design flow with orthogonal arrays is defined for structural design according to the general DOE. The design problem is defined as a general structural optimization problem. Sensitivity information is evaluated by the analysis of variance(ANOVA), and an optimum design is determined from analysis of means(ANOM). Interactions between design variables are investigated to achieve additivity which should be valid in DOE. When strong interactions exit, a method is proposed. Some methods to consider the problem are suggested.
 Keywords
Interactions;Additivity;Sum of Squares;Confounding;Linear Graph;Analysis of Variance;Orthogonal Array;
 Language
Korean
 Cited by
1.
실험과 컴퓨터 모사 결과를 동시에 이용하여 직교배열표로 설계하는 방법,박경진;

대한기계학회논문집A, 2004. vol.28. 7, pp.885-895 crossref(new window)
2.
강건성 지수를 이용한 강건설계 기법의 개발,황광현;박경진;

대한기계학회논문집A, 2003. vol.27. 8, pp.1426-1435 crossref(new window)
 References
1.
이권희, 박경진, 1998, '제한조건이 있는 문제의 이산설계공간에서의 강건최적설계,' 대한기계학회 대한기계학회논문집(A), 제22권, 제5호, pp. 728-737

2.
Park, G. J., Park, Y. S., and Lee, S. H., 1993, 'Comparisons of the Direct and Approximation Method in Structural Optimization,' Proceeding of Pan-Pacific Conference for Computer Engineering, Seoul, Korea, Nov.

3.
Park, Y. S., Lee, S. H., and Park, G. J., 1995, ' A Study of Direct vs Approximation Methods in Structural Optimization,' Structural Optimization, Vol. 10, No. 1, pp. 64-66 crossref(new window)

4.
Park, G. J. and Arora, J. S., 1987, 'Role of Database Management in Design Optimization System,' Journal of Aircraft, Vol. 24, No. 11, pp. 745-750

5.
Salajeg-heh, E. and Vanderplaats, G.N., 1993, 'Optimum Design of Structures with Discrete Sizing and Shape Variables,' Structural Optimization, Vol. 6, No. 2, pp. 79-85 crossref(new window)

6.
Wu, S. J. and Chow, P.T., 1995, 'Genetic Algorithms for Nonlinear Mixed Discrete-Integer Optimization Problems Via Meta-Genetic Parameter Optimization,' Engineering Optimization, Vol. 24, pp. 137-159 crossref(new window)

7.
Phadke, M. S., 1989, Quality Engineering Using Robust Design, Prentice Hall, New Jersey

8.
Taguchi, G., 1987, Systems of Experimental Design (Vol. 1, 2), Kraus International Publications, New York

9.
Lee, K. H., Eom, I. S., Park, G. J. and Lee, W. I. 1996, 'Robust Design for Unconstrained Optimization Problems Using the Taguchi Method,' AIAA Journal, Vol. 34, No. 5, pp. 1059-1063

10.
Park, G. J., Hwang, W. J. and Lee, W. I., 1994, 'Structural Optimization Post-Process Using Taguchi Method,' JSME International Journal, Series A, Vol. 37, pp. 166-172

11.
Peace, G. S., 1995, Taguchi Methods: A Hands-On Approach, Addison Wesley, Massachusetts