人工智能在土木工程领域的应用研究现状及展望

作为新一代产业变革的核心驱动力，人工智能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方法。为全面了解人工智能在土木工程中的发展及应用，定性分析了人工智能的基本研究领域，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，利用CiteSpace可视化工具深入挖掘人工智能在土木工程中存在的问题、发展瓶颈和研究趋势，并给出相应的解决办法及研究思路。通过文献综述发现，土木工程领域已展开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。

Applied research status and prospects of artificial intelligence in civil engineering field

Artificial intelligence is the core driver of the next generation of industrial change. It is an important method 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. The basic research areas of artificial intelligence are analyzed qualitatively. The current research status of artificial intelligence in civil engineering design, manufacturing, and maintenance phases is quantitatively analyzed. The CiteSpace visualization tool is used to dig deeper into the problems, development bottlenecks, and research trends of artificial intelligence in civil engineering, and give corresponding solutions and research ideas. The review of the literature found that a significant amount of artificial intelligence research has been conducted in the field of civil engineering. However 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.