1994 Fiscal Year Final Research Report Summary
Application of Fuzzy Finite Element Method to Bridge Construction Management
| Project/Area Number |
05650453
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
構造工学・地震工学
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| Research Institution | Kansai University (1994)
Kyoto University (1993) |
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Principal Investigator |
FURUTA Hitoshi Kansai University, Fac. of Informatics, Professor, 総合情報学部, 教授 (70109031)
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| Co-Investigator(Kenkyū-buntansha) |
AKIYAMA Takamasa Gifu University, Fac. of Engineering, Assoc. Prof., 工学部, 助教授 (70159341)
KOBAYASHI Takashi Kansai University, Fac. of Informatics, Assistant, 総合情報学部, 助手 (90268334)
TANAKA Shigenori Kansai University, Fac. of Informatics, Lecturer, 総合情報学部, 専任講師 (50268330)
HIROKANE Michiyuki Kansai University, Fac. of Informatics, Lecturer, 総合情報学部, 専任講師 (70268332)
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| Project Period (FY) |
1993 – 1994
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| Keywords | Bridge / Construction management / Fuzzy set theory / Finite element method / Linear regression analysis / Fuzzy mathematical programming / Cable tension adjustment |
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| Research Abstract |
In the construction of bridges, construction management is very important. Reliability or safety is dependent on the accuracy of construction even though design is done precisely. In this syudy, an attempt is made to introduce the fuzzy set theory into the finite element analysis in order to improve the accuracy of the analysis. It is also attempted to develop a practical method for system identification of errors involved during construction and optimal adjustment of cable tension forces and cambers.
The formulation of the fuzzy finite element analysis was done and its efficiency was validated through a simple numerical example of simply supported plate. For the construction management of bridges, a new practical method was developed based upon fuzzy regression analysis and fuzzy mathematical programming. Comparing the usual adjusting methods based on nonlinear optimization technique, this method can improve the convergency reaching the optimal solution and reduce the computation load and time.
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Research Products
(12 results)
