装配式梁桥在路网中广泛应用，服役时常出现主梁开裂和横向联系破损等病害，严重影响桥梁整体性态，引发安全事故。现有损伤监测评估方法大多只针对单一主梁或横向联系损伤，存在一定局限性。因此，本项目拟基于长标距FBG阵列监测桥梁宏应变响应，开展装配式梁桥整体性态监测评估方法研究。首先建立精细化装配式梁桥车桥耦合分析模型，研究损伤对随机车流下装配式梁桥宏应变响应的影响规律，提出反映结构整体性态的特征指标及提取方法；随后，基于特征指标和长标距FBG阵列，建立整体性损伤识别方法，并分析桥梁各位置宏应变响应的损伤灵敏度，研究优化传感器阵列拓扑构型，提出相应的布置规则；同时开展典型装配式梁桥车桥耦合模型试验，验证提出方法的可靠性；最后基于可靠度理论和随机分析，研究本方法损伤识别结果与桥梁状态间的映射关系，构建参数化模型，提出基于损伤识别结果的整体性态评估标准。研究成果可为装配式梁桥智慧管养提供理论和方法支持。

Prefabricated girder bridges (PGB) were widely utilized in road network. However, during service they often suffered from damage like cracks on main girders and broken of transverse connections, which will severely impacts their global behavior and results in accidents. Currently relevant damage monitoring and assessment methods mainly focused on either main girder damage or transverse connection damage, which means they have some limitations. Therefore, this project plans to conduct a study of monitoring and assessment method for PGB's global behavior by utilizing long-gauge FBG array to monitor its macro-strain response. Firstly, through establishing a refined PGB bridge-vehicle interaction analysis model, the damage's influence on the macro-strain response of PGB under stochastic traffic flow would be studied in order to propose a signature index with its extraction method to reflect structural global behavior; Then, based on the signature index and long-gauge FBG array, an identification method for PGB's global damage would be established. Through analyzing the damage sensitivity of a bridge's macro-strain response at each location, the topological configuration of sensor array would be optimized. Then a regulation for sensor layout would be carried out to accompany with this damage identification method; To verify this method's reliability, a typical PGB vehicle-bridge interaction model experiment would be conducted; At last, based on reliability theory and stochastic analysis, the mapping relationship between this method's damage identification result and a bridge's condition would be studied to construct a parameterized model. With this model, an assessment standard for PGB's global behavior based on damage identification results would be present. The research findings would provide theory and method support for the smart maintenance of PGB.