• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Development of quality control system of concrete using optimizing method

Research Project

Project/Area Number 07555436
Research Category

Grant-in-Aid for Scientific Research (A)

Allocation TypeSingle-year Grants
Section試験
Research Field 土木材料・力学一般
Research InstitutionUniversity of Tokyo

Principal Investigator

UOMOTO Taketo  University of Tokyo Institute of Industrial Science Prof., 生産技術研究所, 教授 (80114396)

Co-Investigator(Kenkyū-buntansha) WATANABE Tadashi  University of Tokyo Maeda Corporation, 主任研究員
KATO Yoshitaka  University of Tokyo Institute of Industrial Science Assistant Lecture, 生産技術研究所・第5部, 助手 (80272516)
URA Tamaki  University of Tokyo Institute of Industrial Science Prof., 生産技術研究所・第2部, 教授 (60111564)
Project Period (FY) 1995 – 1996
Project Status Completed (Fiscal Year 1996)
Budget Amount *help
¥6,000,000 (Direct Cost: ¥6,000,000)
Fiscal Year 1996: ¥6,000,000 (Direct Cost: ¥6,000,000)
KeywordsOPTIMIZING METHOD / NEURAL NETWAORK / CONCRETE PLANT / QUALITY CONTROL / 感度解析 / 季節変動
Research Abstract

This study is purposed to develop a management system. This system is easily applied to actual concrete plant and can do quality control much more accurately than conventional system. Neural network is introduced as a method for developing the management system and the possibility of optimized mix proportion in actual concrete plant using this method is verified. The results obtained in this study are as follows.
(1) Prediction method of concrete quality using neural network is found to be valid by the results of laboratory scale experiment. In particular, surface moisture can be predicted with high accuracy by measured weight of materials in mixer and measurement of change in mixing energy. The surface moisture was difficult to measure before this method.
(2) This management system was applied to actual concrete plant producing ordinary concrete and the prediction of concrete quality was found to be difficult. The reason was found to the change of concrete quality. Concrete quality is changed by the fluctuation of the material quality and temperature from season to season in actual plant. From these findings, the system is revised to a new system applicable in whole year by adopting parameters expressing seasonal fluctuation. Optimizing program has the limit in amount and range of data so that the program is found to diverse beyond this limit. This is due to the nature of neural network which is the core of this method and it is found that acquisition of wider data is needed.
(3) The revised system is applied to actual concrete plant for dam. The possibility of production management of concrete is confirmed on basic level with some problems remaining.
(4) This system can be refined to practical use level by applying and investigating repeatedly the system in actual plant in future.

Report

(3 results)
  • 1996 Annual Research Report   Final Research Report Summary
  • 1995 Annual Research Report
  • Research Products

    (11 results)

All Other

All Publications (11 results)

  • [Publications] 大矢孝,魚本健人,堤知明: "ニューラルネットワークを用いたコンクリート製造管理システムに関する研究" 土木学会論文集. No514,V-27. 9-18 (1995)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] Takashi.Ohya,Taketo Uomoto,Tomoaki Tsutsumi: "A Quality Contorol System for Concrete Production Using Neural Network" Concrete Ciorory of JSCE. No.27. 105-120 (1996)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] 加藤佳孝,魚本健人,堤知明: "ニューラルネットワークによるコンクリートの配合最適化に関する研究" コンクリート工学年次論文報告集. Vol.18,No.1. 1323-1328 (1996)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] 後藤充志,加藤佳孝,魚本健人,堤知明: "ニューラルネットワークを用いた配合最適化システムの実プラントへの適用" コンクリート工学年次論文報告. (投稿中).

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] 加藤佳孝,大住道生,魚本健人,堤知明: "季節変動を考慮したコンクリートの品質管理システム" 土木学会第50回年次学術講演会第V部門. 140-141 (1995)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] T.Ohya, T.Uomoto and T.Watanabe: "A Quality Control System for Concrete Production using Neural Network" Concrete Library of JSCE. No. 27. 105-120 (1996)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1996 Final Research Report Summary
  • [Publications] 大矢孝,魚本健人,堤知明: "ニューラルネットワークを用いたコンクリート製造管理システムに関する研究" 土木学会論文集. No.514 V-27. 9-18 (1995)

    • Related Report
      1996 Annual Research Report
  • [Publications] Takasi Ohya Taketo Uomoto Tomoaki Tsutsumi: "A Quolity Control system for Concrete Production Using Neural Network" Corcrete Cibrary of JSCE. No.27. 105-120 (1996)

    • Related Report
      1996 Annual Research Report
  • [Publications] 加藤佳孝,魚本健人,堤知明: "ニューラルネットワークによるコンクリートの配合最適化に関する研究" コンクリート工学年次論文報告集. Vol.18 No.1. 1323-1328 (1996)

    • Related Report
      1996 Annual Research Report
  • [Publications] 魚本 健人: "ニューラルネットワークを用いたコンクリート製造管理システムに関する研究" 土木学会論文集. 27. 9-18 (1995)

    • Related Report
      1995 Annual Research Report
  • [Publications] 魚本 健人: "季節変動を考慮したコンクリートの品質管理システム" 土木学会第50回年次学術講演会第V部門. 140-141 (1995)

    • Related Report
      1995 Annual Research Report

URL: 

Published: 1996-04-01   Modified: 2016-04-21  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi