Research on Damage Identification of Civil Engineering Structures based on CiteSpace

With the continuous innovation of technology and building materials, civil engineering has been rapidly developed. However, due to various reasons, China's in-service building structure is or will usher in the peak of structural damage. This paper aims to study the development stage of structural damage identification in civil engineering, and find out the research hotspot and development trend in recent ten years. Based on Web of Science (WoS) platform, the damage identification methods of civil engineering structures in recent ten years are studied by CiteSpace software. The results show that: through the literature feature analysis, the words with the highest frequency are "damage identification", "model", "frequency", and "crack detection". The word with the strongest burst is "wavelet transform," and the word with the longest duration is "Kalman filter." This paper offers a theoretical basis and reference value for the research hotspot and development trend of damage identification of civil engineering structures.