Intelligent design for component size generation in reinforced concrete frame structures using heterogeneous graph neural networks

IF 9.6 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Automation in Construction Pub Date : 2025-01-13 DOI:10.1016/j.autcon.2025.105967
Sizhong Qin, Wenjie Liao, Yuli Huang, Shulu Zhang, Yi Gu, Jin Han, Xinzheng Lu
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Abstract

Traditional reinforced concrete (RC) frame design depends on extensive engineering experience and iterative verification processes, often resulting in significant inefficiencies. The diversity in the topologies and behaviors of structural components further presents considerable obstacles to effective machine learning applications in design. This paper introduces an approach using heterogeneous graph neural networks (HetGNNs) to automate and optimize the dimensioning of frame components. This method captures the distinct frame topologies by developing a precisely tailored heterogeneous graph node representation. Leveraging a unique dataset derived from engineering drawings, the HetGNN model learns to size the component sections accurately. It is demonstrated that this method offers a transformative improvement in the efficiency, accuracy, and cost-effectiveness of structural design while adhering to design standards. The size design of RC frame structures can be completed in under one second, with an average size deviation of around 50 mm (one module) compared to those designed by engineers.
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基于异构图神经网络的钢筋混凝土框架结构构件尺寸生成智能设计
传统的钢筋混凝土框架设计依赖于丰富的工程经验和反复的验证过程,往往导致显著的低效率。结构部件的拓扑和行为的多样性进一步给机器学习在设计中的有效应用带来了相当大的障碍。本文介绍了一种利用异构图神经网络(hetgnn)自动优化框架构件尺寸的方法。该方法通过开发精确定制的异构图节点表示来捕获不同的框架拓扑。利用来自工程图纸的独特数据集,HetGNN模型学习准确地确定部件部分的大小。结果表明,该方法在遵循设计标准的同时,在结构设计的效率、准确性和成本效益方面提供了革命性的改进。钢筋混凝土框架结构的尺寸设计可以在1秒内完成,与工程师设计的尺寸平均偏差在50mm左右(一个模块)。
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来源期刊
Automation in Construction
Automation in Construction 工程技术-工程:土木
CiteScore
19.20
自引率
16.50%
发文量
563
审稿时长
8.5 months
期刊介绍: Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.
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