Design support method for a structure and the like

Data processing: structural design – modeling – simulation – and em – Simulating nonelectrical device or system – Mechanical

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703 7, G06F 1750

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active

061321087

ABSTRACT:
A design support method includes an orthogonal array allocation step for arranging data regarding design variables and levels in columns and rows of an orthogonal array, a structural analysis step for carrying out structural analysis for data in each row of the orthogonal array, an analysis-of-variance step for carrying out an analysis of variance in accordance with the result of the structural analysis step, an estimation expression generation step for extracting those design variables and degree components which have high effectivity for characteristic values indicative of the properties of the object of analysis, in accordance with the analysis of variance, and generating estimation expressions based on orthogonal functions in accordance with the design variables and degree components, and an optimization process for making a target optimization calculation by using a mathematical optimization method. Reanalysis, evaluation of dispersion, and evaluation of reliability of structure, can be carried out by using the estimation expressions.

REFERENCES:
Hui, Blosiu and Wiberg, `Taguchi method applied in optimization fo Shipley SJR 5740 positive resist deposition`, Proceedings of SPIE vol. 3333, part 1-2, pp. 1304-1313 Feb. 1998 (abstract only).
Chou, `Optimization of Jc of YBCO thin films prepared by photo-assisted MOCVD through statistical robust design`, Journal Physica C, vol. 254, No. 1-2 pp. 93-112; Nov. 1995 (abstract only).
R. Unal, `Space Transportation Vehicle Design Evaluation Using Saturated Designs`, ASEE Faculty Fellowship program, NASA Study announcement GRAI9416, Dec. 1993.
Lan, `4-Level Orthogonal Array Dsgn as a Chemometric Approach to the Optimization of Polarographic Reaction Sys for Phosphorus`, TALANTA Journal, vol. 41, N11 pp 1917-19, Nov. 1994 (Abs Only).
Muller, `Variance Reduction by Simultaneous Multiexponential Analysis of Data Sets from Different Experiments`, European Biophysics Journal vol. 19, N5, pp. 231-240, 1991 (Abstract Only).

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