| Co-Investigator(Kenkyū-buntansha) |
INOMO Hitoshi Kagawa University, Faculty of Engineering, Associate Prof., 工学部, 助教授 (90294735)
MATSUHO Shigeyuki Anan National College of Technology Dept. of Civil Eng. And Architecture, Associate Prof., 建設システム, 助教授 (90157347)
KANDA Jyun The University of Tokyo, Institute of Environmental Studies, Professor, 大学院・環境学研究系, 教授 (80134477)
|
|---|
| Budget Amount *help |
¥8,700,000 (Direct Cost: ¥8,700,000)
Fiscal Year 2001: ¥2,800,000 (Direct Cost: ¥2,800,000)
Fiscal Year 2000: ¥2,800,000 (Direct Cost: ¥2,800,000)
Fiscal Year 1999: ¥3,100,000 (Direct Cost: ¥3,100,000)
|
|---|
| Research Abstract |
This study was carried out from, 1999 through 2001, and discussed a reliability-based design method of structures. The study referred to the design criteria of the United States, Canada, and European countries, because these countries already have introduced the limit state design based on reliability theory. In 1999 and 2000, the reliability-based design criteria of Europe, the United States, and Canada were investigated, and the study discussed an outline of the reliability-based design used for civil and architectural structures in Japan, based on ISO2394. In 2001, we carried out a basic study to realize an easy and effective criterion of the practical reliability-based design.
On the other hand, the practical design should not require difficult knowledge and it should be easy for practical design engineers to understand the criterion. Then, the study proposed a new design system, which made use of computational techniques. It is necessary to take good advantages of artificial life technologies (A-Life Technology) of not only the analysis based on the probabilistic theory but also new information processing technology (IT), fuzzy theory, genetic algorithm (GA), neural network technology (NN), cellular automata (CA), and immunity system (IS), etc. in order to improve the structural reliability. This study tried to utilize NN, GA, CA, and IS to treat uncertainty problems that were difficult to solve by using probabilistic theory.
|
