论文标题

混凝土材料中的人工智能:科学计量学

Artificial Intelligence in Concrete Materials: A Scientometric View

论文作者

Li, Zhanzhao, Radlińska, Aleksandra

论文摘要

人工智能(AI)已成为一种变革性和多功能工具,破坏了跨科学领域的新边界。在其最有希望的应用中,AI研究是在混凝土科学和工程中开发的,它为混合设计优化和胶合系统的服务寿命预测提供了新的见解。本章旨在揭示有关混凝土材料AI现有文献的主要研究兴趣和知识结构。首先,从1990年至2020年发表的总共389篇文章是从科学网络中检索出来的。采用了科学计量学工具,例如关键字共存在分析和文档共同引用分析,以量化研究领域的特征和特征。这些发现在数据驱动的具体研究中引起了紧迫的问题,并为混凝土社区提供了充分利用AI技术能力的未来机会。

Artificial intelligence (AI) has emerged as a transformative and versatile tool, breaking new frontiers across scientific domains. Among its most promising applications, AI research is blossoming in concrete science and engineering, where it has offered new insights towards mixture design optimization and service life prediction of cementitious systems. This chapter aims to uncover the main research interests and knowledge structure of the existing literature on AI for concrete materials. To begin with, a total of 389 journal articles published from 1990 to 2020 were retrieved from the Web of Science. Scientometric tools such as keyword co-occurrence analysis and documentation co-citation analysis were adopted to quantify features and characteristics of the research field. The findings bring to light pressing questions in data-driven concrete research and suggest future opportunities for the concrete community to fully utilize the capabilities of AI techniques.

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