人工智能在土木工程中的研究现状及展望
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作者单位:

1.天津大学建筑工程学院;2.天津大学滨海土木工程结构与安全教育部重点实验室;3.河北工程大学土木工程学院

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河北省全职引进高端人才科研项目(2020HBQZYC013)


Research Status and Prospects of Artificial Intelligence in Civil Engineering
Author:
Affiliation:

1.School of Civil Engineering, Tianjin University;2.Key Laboratory of Coast Civil Structure Safety of China Ministry of Education, Tianjin University;3.School of Civil Engineering, Hebei University of Engineering

Fund Project:

Hebei Province Full-time Introduction of High-end Talent Research Project(No. 2020HBQZYC013)

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    摘要:

    人工智能作为新一代产业变革的核心驱动力,是全面提高土木工程领域数字化、自动化、信息化和智能化的重要途径。为全面了解人工智能在土木工程中的发展及应用,首先从宏观角度定性分析了人工智能的基本研究领域;然后从微观角度定量分析了人工智能在土木工程设计、制造、养维护阶段的研究现状;最后利用CiteSpace可视化工具深入挖掘人工智能在土木工程中的研究趋势、存在问题和发展瓶颈,并给出相应的解决办法及研究思路。综述发现,土木工程领域中已进行了大量人工智能研究,但各阶段智能化发展不均衡,实际应用也存在一定局限性,需深入探索神经网络、大数据、深度学习等智能技术在土木工程全生命周期的交叉融合,促进土木工程领域人工智能研究的协同发展。

    Abstract:

    Artificial intelligence is the core driver of the next generation of industrial change. It is an important way to comprehensively improve digitalization, automation, informatization, and intelligence in the field of civil engineering. To gain a comprehensive understanding of the development and application of artificial intelligence in civil engineering. First, the basic research areas of artificial intelligence are analyzed qualitatively from a macro perspective. Then the current research status of artificial intelligence in civil engineering design, manufacturing, and maintenance phases is quantitatively analyzed from a microscopic perspective. Finally, the CiteSpace visualization tool is used to dig deeper into the research trends, problems, and development bottlenecks of artificial intelligence in civil engineering, and give corresponding solutions and research ideas. The review found that a significant amount of artificial intelligence research has been conducted in the field of civil engineering. But the development of intelligence has been uneven at various stages, and there are limitations in practical applications. Therefore, it is necessary to deeply explore the cross integration of intelligent technologies such as neural networks, big data, and deep learning in the full life cycle of civil engineering. To promote the synergistic development of artificial intelligence research in the field of civil engineering.

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  • 收稿日期:2021-11-12
  • 最后修改日期:2022-01-24
  • 录用日期:2022-02-23
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