A Production-Installation Simulation Model of Free-Form Concrete Panels

  • Lim, Jeeyoung (Department of Architectural Engineering, Kyung Hee University) ;
  • Lee, Donghoon (Department of Architectural Engineering, Kyung Hee University) ;
  • Na, Youngju (Department of Architectural Engineering, Kyung Hee University) ;
  • Lim, Chaeyeon (Department of Architectural Engineering, Kyung Hee University) ;
  • Kim, Sunkuk (Department of Architectural Engineering, Kyung Hee University)
  • Published : 2015.10.11

Abstract

Demand on free-form buildings is gradually increasing, yet owing to the difficulty of production-installation work, several problems occur in the construction phase upon construction of a building, including the increased cost and construction duration, and reduced constructibility. To solve these problems, a techonology to produce FCP using a CNC(Computerized Numeric Control) machine is developed. The technology is that the information of designed free-form buildings to the CNC machine is transferred, and the transferred information is used for RTM(Rod-Type Mold, the mold shaped by back-up rods) and PCM(Phase Change Material) shaping, and the shaped RTM and PCM have the role of molds to produce FCP. Construction duration and project cost are limited in building sites, so the efficiency of processes like production-installation of FCP for application of the technology is significant. Since it is almost impossible to change the production-installation process at the construction phase when they are established, process should be deliberately decided. Therefore, the purpose of the study is to propose a production-installation simulation model of free-form concrete panels, in aspect of PCM. This paper is establishing the process for production-installation of FCP, estimating time required by each construction type and proposing a time simulation model that changes according to various constraints based on the analyses. With the time simulation model, it will be possible to build a cost model and to review the optimal construction duration and project cost.

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Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2013R1A2A2A01068297).