A study on the thermal crack control of large turbine foundation using automated curing system

Ju Hyung Ha, Ok Pin Na, Chang Keun Lim, Yun Gu Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The thermal crack occurrence from hydration heat is one of the most important factors that significantly affect structural quality and construction period in mass concrete. Therefore, appropriate methods to control the thermal crack are necessary for mass concrete. In this study, the probability of thermal cracking was checked by FEM analysis prior to the construction of turbine foundation in a combined thermal power plant. Subsequently, the change of concrete mix design and application of automated curing system were proposed to prevent thermal crack occurrence. The proposed concrete mix design and automated curing method have been applied to actual turbine foundation construction site and the effect of the proposed thermal crack control methods has been evaluated through field measurement of the temperature, strain, thermal crack occurrence.

Original languageEnglish
Title of host publication31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014 - Proceedings
EditorsQuang Ha, Ali Akbarnezhad, Xuesong Shen
PublisherUniversity of Technology Sydney
Pages95-102
Number of pages8
ISBN (Electronic)9780646597119
Publication statusPublished - 2014
Externally publishedYes
Event31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014 - Sydney, Australia
Duration: Jul 9 2014Jul 11 2014

Publication series

Name31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014 - Proceedings

Conference

Conference31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014
Country/TerritoryAustralia
CitySydney
Period7/9/147/11/14

Keywords

  • Automated curing system
  • Mass concrete
  • Thermal crack control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Civil and Structural Engineering
  • Building and Construction

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