TY  - EJOU
AU  - Zhang, Wenhao 
AU  - Wang, Chunguang 
AU  - Zhang, Lin 
AU  - Ma, Keshun 
AU  - Wang, Baodong 
AU  - Amaechi, Chiemela Victor 

TI  - Bibliometric Review for Prefabricated Steel Frame Replaceable Structures
T2  - Structural Durability \& Health Monitoring

PY  - 
VL  - 
IS  - 
SN  - 1930-2991

AB  - The paradigm in seismic design is shifting from preventing structural collapse to enabling rapid post-earthquake functional recovery, positioning replaceable structural components as a key development trend. These components offer a significant advantage: following an earthquake, only the pre-designed replaceable elements need to be swapped out to restore the building’s overall functionality, thereby enhancing seismic resilience and reparability. This study conducted a comprehensive literature review utilizing databases such as Web of Science and China National Knowledge Infrastructure (CNKI). This study retrieves and analyzes relevant literature from the Web of Science and China National Knowledge Infrastructure (CNKI) databases. Utilizing CiteSpace, a visualization analysis is performed on key elements including keywords, publication timelines, authors, and institutions. Specifically, keyword co-occurrence maps, high-frequency keyword lists, and clustering network diagrams are generated to map the distribution of authors and research institutions, thereby revealing the primary characteristics and research hotspots of the field. The paper reviews the current research status of major joint configurations and systematically analyzes the research directions of critical lateral-force-resisting units. Furthermore, the impact of hazards on structural survivability is explored, and the application prospects of Digital Twins and Physics-Informed Neural Networks (PINN) in precision assessment and decision-making are evaluated, aiming to provide a theoretical foundation and technical framework for the construction of resilient cities.
KW  - Prefabricated structures; replaceable; CiteSpace; seismic performance; connection nodes

DO  - 10.32604/sdhm.2026.082872