  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.
