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Building Information Modeling Application in Engineering Design Performance Prediction

Wen-Bin Chiu
Operations, Pacific Engineers & Constructors, LtD, Taipei, Taiwan
Department of Civil Engineering, National Taiwan University, Taipei, Taiwan

Manuscript received October 4, 2021; revised November 1, 2021; accepted December 11, 2021; issue published January 7, 2022.

Abstract—Engineering design constitutes a critical factor in a construction project, and the process has fundamentally impacted the performance. Previous research on design performance has established the relationships between project attributes and performance measures. Recently, there is growing interested in measuring the benefits of BIM on project performance, but less attention on design performance. Evaluating design performance based on the relationships between the use of BIM inputs and outputs becomes essential. This paper presents a systematic analysis correlating BIM uses with engineering performance to better predict industrial construction projects. Applying project data collected through BIM application surveys and the statistical variable reduction techniques to develop multiple linear regression models of the engineering design performance evaluation, the best prediction was achieved and validated. The study results show that the correlation between BIM uses and engineering performance measures is significant, and the engineering design performance can be predicted from BIM uses attributes. 

Index Terms—Building Information Modeling (BIM), engineering design performance, BIM Uses, performance measures

Cite: Wen-Bin Chiu, "Building Information Modeling Application in Engineering Design Performance Prediction," International Journal of Structural and Civil Engineering Research, Vol. 11, No. 1, pp. 28-34, February 2022. doi: 10.18178/ijscer.11.1.28-34

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.