结构服役安全智能诊断研究与应用进展

土木工程行业逐步由集中建造向服役运维转型，在役基础设施的运营维护成为重点工作。目前，以人工检测、鉴定与评价为核心的在役工程结构诊断技术，在时效上难以满足大量在役工程结构服役安全诊断的巨大需求。基于标准规范的评价方法，采用指标评分和考虑指标重要性程度的综合评估和等级划分，也难以实现工程结构服役安全的科学评价。因此，发展工程结构智能诊断新理论、新方法成为必然。智能诊断从技术流程上包括服役信息感知、性态识别、性能评价、演化预测。近年来，结构服役安全诊断与智能感知技术和人工智能技术的交叉融合取得了一定成果，但就构建工程结构服役安全智能诊断体系，实现结构服役性能智能评价和预测，仍面临一系列关键问题。为此，在总结了工程结构智能诊断的发展现状的基础上，分析了当前研究的主要问题，并建议了下一步研究思路和应突破的关键问题。

Research and application progress of intelligent diagnosis for structural service safety

Civil engineering in China has gradually entered a transition period from rapid construction to service maintenance, and the maintenance of in-service infrastructure is becoming the key work. Currently, the safety diagnosis of existing engineering structures based on traditional structural inspection, appraisal and evaluation is difficult to meet the enormous demand for timely safety diagnosis of numerous in-service engineering structures. The evaluation method based on current standards and specifications uses index scoring and comprehensive evaluation and grading considering the importance of indicators, which is challenging to realize the scientific evaluation of the service safety for engineering structures. Therefore, it is necessary to develop new theories and methods for intelligent diagnosis of engineering structures. Intelligent diagnosis includes service information perception, characteristic identification, performance evaluation and evolution prediction. Recently, some achievements have been made in the cross-fusion of structural service safety diagnosis, intelligent sensing technology and artificial intelligence technology. However, an intelligent diagnosis system for the service safety of engineering structures to realize the intelligent evaluation and prediction of the service performance of structures is still facing a series of critical problems. Therefore, based on summarizing the development status of intelligent diagnosis for engineering structures, this paper analyses the major problems of current research and suggested further research ideas and key problems to be solved.