Development of a BIM Platform for the Design of Single-Story Steel Structure Factories

Rebar quantity estimation is pivotal for determining the cost of construction projects and is essential for bidding purposes. A bar bending schedule plays a crucial role by providing rebar information and bending instructions, facilitating efficient procurement. Traditional methods, which rely on manually extracting data from 2D (two-dimensional) drawings, are error-prone and hinder construction productivity. This study utilized a special length approach to yield optimal rebar consumption, resulting in a total rebar order of 19,582.427 t and minimizing rebar waste to 0.77%. Additionally, this method saved 3000.22 t of rebar compared to traditional methods, using only stock lengths. To enhance the accuracy and efficiency, a 3D (three-dimensional) model was developed in a Building Information Modeling (BIM) environment to prepare a Bar Bending Schedule (BBS) automatically, integrated with an Application Programming Interface (API) for data entry to eliminate manual errors. The efficacy of the proposed algorithm was confirmed by comparing the rebar quantities it generated with those obtained from optimization calculations. The results demonstrated a mean absolute error of 0.017 and a mean absolute percentage error of 1.13%, validating the algorithm’s precision. Furthermore, this method reduced the manpower required for BBS preparation by 33.33%, highlighting its potential to revolutionize construction workflow efficiency and accuracy.

A BIM-Based Bar Bending Schedule Generation Algorithm with Enhanced Accuracy

Khant,

Widjaja,

Kwon

et al. 2024

Research on Integrated Design of Prefabricated Steel Frame Structures Based on BIM Technology with a Focus on Structural Safety

Wang,

Chen

et al. 2024

To address the issue of inconsistencies between the 3D structural models built on Building Information Modeling (BIM) platforms and the original structural designs, thereby ensuring structural safety and reliability, this paper proposes an integrated design approach for prefabricated steel frame structures based on BIM technology with a primary focus on structural safety. The application of the integrated design methodology for prefabricated steel frame structures, leveraging BIM technology, is concretely demonstrated through case studies. These illustrations focus on pivotal aspects: assessing the overall safety performance of the structure, conducting meticulous analyses of beam-to-column connection nodes, and harnessing the outcomes of these evaluations to inform and direct the optimization of the structural design. The research findings presented herein offer insights and methodologies for applying BIM in safety assessments of prefabricated steel frame structures, thereby further refining the comprehensive framework of BIM engagement throughout the entire life cycle of prefabricated steel frame construction projects.

Digital-Twin-Based Operation and Maintenance Management Method for Large Underground Spaces

Wang,

Yu,

Zheng

et al. 2024

Large underground spaces are complex and huge, with problems such as fragmented data that cannot be shared, outdated management methods, and high operation and maintenance costs. The digitization of building information and the use of digital twin technology can effectively improve the efficiency of building operation and maintenance. Using information technology to build a digital-twin-based operation and maintenance management system, the huge and discrete data and equipment system information are effectively integrated and explored for application. First, we analyze the shortcomings of the traditional delivery and operation and maintenance methods and introduce the necessity of a new method of operation and maintenance management based on digital twin; then, we divide the operation and maintenance information of the construction project into four major categories of spatial information and eight major categories of equipment information and complete the coding work, and the categorized data serve as the data basis for operation and maintenance; second, we develop a digital twin operation and maintenance management platform based on the operation and maintenance data of BIM; finally, we carry out case validation for the three major constructions. Finally, case validation is carried out for three major buildings and a large underground space and the practical application shows that the operation and maintenance management system based on digital twin technology provides technical guarantee for decentralized information and system integration management and the information management quality and efficiency of the operation and maintenance process are effectively improved. Through the practice of summarizing the experience, which is worth learning, we aim to create a large underground space operation and maintenance management method to provide a reference.