Scenario-based 4D dynamic simulation model for in-situ production and yard stock of precast concrete members

• Published in: Journal of Asian architecture and building engineering Vol. 22; no. 4; pp. 2320 - 2334
• Main Authors: Lim, Jeeyoung, Son, Chang-Baek, Kim, Sunkuk
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 04-07-2023; Taylor & Francis Group
• Subjects: 4D dynamic simulation; algorithm; game theory; in-situ production; Precast concrete; yard stock
• ISSN: 1346-7581; 1347-2852
• DOI: 10.1080/13467581.2022.2145214

In-situ production of precast concrete (PC) members is affected by various factors, such as cost, time, quantity, lead time, number of molds, production cycle, number of cranes, and yard stock area. In particular, the yard stock area accounts for more than 84% of the total required area, which is considerably larger than the production area. This study proposes a novel scenario-based four-dimensional (4D) dynamic simulation model for sustainable in-situ production and yard stock of PC members. Using 4D simulation, this study confirms that the production and yard stock of 960 beams can be sufficiently produced on large sites of long-span and heavy-loaded buildings. Additionally, production and yard stock simulations can be quickly and easily performed according to quantity using the developed dynamic simulation algorithm. Lastly, the proposed algorithm can be used to conduct simulation studies applicable in various environments according to field conditions that change frequently.