Project/Area Number |
05650453
|
Research Category |
Grant-in-Aid for General Scientific Research (C)
|
Allocation Type | Single-year Grants |
Research Field |
構造工学・地震工学
|
Research Institution | Kansai University (1994) Kyoto University (1993) |
Principal Investigator |
FURUTA Hitoshi Kansai University, Fac. of Informatics, Professor, 総合情報学部, 教授 (70109031)
|
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)
宇都宮 智昭 京都大学, 工学部, 助手 (10211773)
杉浦 邦征 京都大学, 工学部, 助手 (70216307)
田村 武 京都大学, 工学部, 助教授 (30026330)
渡邉 英一 京都大学, 工学部, 教授 (30026174)
|
Project Period (FY) |
1993 – 1994
|
Project Status |
Completed (Fiscal Year 1994)
|
Budget Amount *help |
¥2,300,000 (Direct Cost: ¥2,300,000)
Fiscal Year 1994: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 1993: ¥1,300,000 (Direct Cost: ¥1,300,000)
|
Keywords | Bridge / Construction management / Fuzzy set theory / Finite element method / Linear regression analysis / Fuzzy mathematical programming / Cable tension adjustment / 架設管理 / ケーブル張力 / 形状関数 / ファジィ推論 |
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.
|