建筑结构损伤智能检测与响应智能预测研究综述OA北大核心CSTPCD

With the rapid development of computer and artificial intelligence technology,intelligent technologies have been increasingly applied to the interdisciplinary research and applications in civil engineering.Compared with traditional civil engineering technology,intelligent structural disaster prevention,mitigation,and maintenance technology have significantly improved efficiency and accuracy,so it has become one important development directions of cross-disciplinary.In order to systematically sort out and display the research frontier progress,a comprehensive review of the state-of-the-art intelligent damage detection and response prediction of building structures is carried out.The review is divided into three aspects,namely intelligent local damage detection and evaluation,intelligent global damage detection and evaluation,and intelligent prediction of building structure response.Mainstream research technology routes and commonly used intelligent algorithms are summarized and analyzed,the advantages and limitations of existing research methods are discussed,and research challenges are identified based on current studies.The engineering application of intelligent detection and assessment of local damage in components in the current stage of research faces limitations.The overall accuracy of intelligent detection of damage in building structures is relatively low,and the interpretability and reliability of intelligent prediction of structural responses are poor.In response to these issues,targeted prospects and recommendations for future research directions are proposed.These include enhancing the generalization of damage detection algorithms,improving the overall accuracy of intelligent detection of damage in building structures through super-resolution techniques,and integrating spatial and physical information into intelligent prediction methods for structural responses.