TY - GEN
T1 - Generative Design for Prefabricated Structures using BIM and IoT applications – Approaches and Requirements
AU - Rangasamy, Veerakumar
AU - Yang, Jyh Bin
N1 - Publisher Copyright:
© ISARC 2023. All rights reserved.
PY - 2023
Y1 - 2023
N2 - Building Information Modeling (BIM) has demonstrated a wide range of merits over traditional and modern constructions. The integration of generative design (GD) with BIM in the construction industry has become an interesting topic, even though the concept is not very new. Prefabricated construction (PC) offers several advantages over traditional construction and has recently advanced to a new level of study because of the usage of BIM. The synchronization of BIM with PC is becoming simpler to create automatic design solutions in its early phases, thanks to the current breakthroughs in the internet of things (IoT) and its applications. There has been an increase in research interests that are mostly focused on examining tools and applications. However, there are not many studies that have looked at methodological relationships and other factors, which has led researchers to focus more on GD-BIM-based investigations. This study provides a preliminary critical analysis of the software, skill, and methodological requirements for current GD-BIM integration methodologies. The publications are pulled from web of science platform and thoroughly examined in statistical and systematic methods to give a fresh viewpoint on objective-oriented and skill-driven GD-BIM development for PC. New guidance to improve skill learning for GD-BIM development is recommended in this study. The analysis and recommendations might aid the researchers and designers in comprehending the situation and paying attention to future requirements.
AB - Building Information Modeling (BIM) has demonstrated a wide range of merits over traditional and modern constructions. The integration of generative design (GD) with BIM in the construction industry has become an interesting topic, even though the concept is not very new. Prefabricated construction (PC) offers several advantages over traditional construction and has recently advanced to a new level of study because of the usage of BIM. The synchronization of BIM with PC is becoming simpler to create automatic design solutions in its early phases, thanks to the current breakthroughs in the internet of things (IoT) and its applications. There has been an increase in research interests that are mostly focused on examining tools and applications. However, there are not many studies that have looked at methodological relationships and other factors, which has led researchers to focus more on GD-BIM-based investigations. This study provides a preliminary critical analysis of the software, skill, and methodological requirements for current GD-BIM integration methodologies. The publications are pulled from web of science platform and thoroughly examined in statistical and systematic methods to give a fresh viewpoint on objective-oriented and skill-driven GD-BIM development for PC. New guidance to improve skill learning for GD-BIM development is recommended in this study. The analysis and recommendations might aid the researchers and designers in comprehending the situation and paying attention to future requirements.
KW - Building Information Modeling (BIM)
KW - Generative Design
KW - IoT Applications
KW - Prefabricated Construction
UR - http://www.scopus.com/inward/record.url?scp=85172892437&partnerID=8YFLogxK
U2 - 10.22260/ISARC2023/0090
DO - 10.22260/ISARC2023/0090
M3 - 會議論文篇章
AN - SCOPUS:85172892437
T3 - Proceedings of the International Symposium on Automation and Robotics in Construction
SP - 645
EP - 652
BT - Proceedings of the 40th International Symposium on Automation and Robotics in Construction, ISARC 2023
A2 - Garcia de Soto, Borja
A2 - Gonzalez, Vicente
A2 - Brilakis, Ioannis
PB - International Association for Automation and Robotics in Construction (IAARC)
T2 - 40th International Symposium on Automation and Robotics in Construction, ISARC 2023
Y2 - 5 July 2023 through 7 July 2023
ER -