Proceedings of the 2025 International Conference on Resilient City and Safety Engineering (ICRCSE 2025)

Research on Design Optimization and Engineering Application of Steel Structure Joints Based on BIM and Intelligent Algorithms

Authors
Zhiguo Ma1, Qiang Zhang2, Guojun Zhao1, Wenqiang Li1, Bo Zhang3, *, Zhimin Peng3
1PowerChina Roadbridge Group Co., Ltd., Beijing, 100160, China
2China Water Resources and Hydropower Fourth Engineering Bureau Co., Ltd., Xining, Qinghai, 810007, China
3China Hydropower Fourth Bureau Southern (Zhuhai) Engineering Co., Ltd., Zhuhai, Guangdong, 519000, China
*Corresponding author. Email: 980382842@qq.com
Corresponding Author
Bo Zhang
Available Online 22 September 2025.
DOI
10.2991/978-94-6463-856-1_42How to use a DOI?
Keywords
Complex spatial steel structures; intelligent optimization technology; parametric modeling; BIM technology; multi-objective optimization algorithm; reinforcement obstacle avoidance rule base
Abstract

As the core load-bearing system of modern large-scale buildings, complex spatial steel structures play a pivotal role in enhancing engineering efficiency and quality through intelligent optimization technologies. This paper addresses prevalent issues in current steel structure joint design, such as low modeling efficiency, single-dimensional optimization, and frequent reinforcement layout conflicts, by proposing a comprehensive intelligent optimization framework integrating parametric modeling, intelligent algorithms, and BIM technology. The study establishes parametric reference models for steel frame joints, truss intersection joints, and hybrid structural joints, achieving high-efficiency modeling of complex nodes. By combining the NSGA-II multi-objective optimization algorithm with particle swarm formation optimization, a multi-objective optimization model is developed with stress uniformity, manufacturing cost, and construction convenience as core objectives. This approach significantly reduces stress concentration (by 26.8%) and fabrication cycle time (shortened by 37.5%). Furthermore, the research develops a construction-oriented reinforcement collision avoidance rule database and AI path planning algorithms, resolving spatial conflicts between reinforcement and steel components. Field measurements demonstrate a reduction in reinforcement layout conflicts from 45% to 2%. Application in the Chongqing Science City Auditorium project validates the system’s effectiveness: detailed design efficiency improved by 40%, installation errors were controlled within 3mm, and rework rates reduced to 1.2%. This provides a systematic solution for intelligent design and construction of super-large complex steel structure projects.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Resilient City and Safety Engineering (ICRCSE 2025)
Series
Advances in Engineering Research
Publication Date
22 September 2025
ISBN
978-94-6463-856-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-856-1_42How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Zhiguo Ma
AU  - Qiang Zhang
AU  - Guojun Zhao
AU  - Wenqiang Li
AU  - Bo Zhang
AU  - Zhimin Peng
PY  - 2025
DA  - 2025/09/22
TI  - Research on Design Optimization and Engineering Application of Steel Structure Joints Based on BIM and Intelligent Algorithms
BT  - Proceedings of the 2025 International Conference on Resilient City and Safety Engineering (ICRCSE 2025)
PB  - Atlantis Press
SP  - 443
EP  - 453
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-856-1_42
DO  - 10.2991/978-94-6463-856-1_42
ID  - Ma2025
ER  -