基于监测数据的工程结构模态识别方法探析  

Exploration on the Modal Identification Methods for Engineering Structures Based on Monitoring Data

作　　者：梁子晗 李易[1] Liang Zihan;Li Yi

机构地区：[1]北京工业大学工程抗震与结构诊治北京市重点实验室

出　　处：《城市建筑》2025年第1期190-193,共4页Urbanism and Architecture

基　　金：国家重点研发计划项目课题(2019YFC1511003)。

摘　　要：随着城市化进程的加速,城市功能间的耦合愈加紧密。工程结构(如建筑、桥梁等)作为城市的主要承载体,其运营和维护对城市功能具有重要影响,其服役安全问题引起了学者们的广泛关注。通过在工程结构上布置传感器,感知、采集、传输和处理多元数据,已经成为保障结构安全的重要手段。实时监测会形成大量的监测数据,如何通过监测数据进行结构状态识别和损伤评估是其中的关键科学问题之一。文章基于监测数据对已有的单体建筑结构模态识别方法(包括传统模态识别方法和基于机器学习的模态识别方法)进行了分析,然后提出了针对城市建筑群的结构状态识别思路,并对结构模态识别的未来发展趋势进行展望。With the acceleration of urbanization,the coupling among urban functions is getting closer.As the main carrier of the city,the operation and maintenance of engineering structures(e.g.,buildings,bridges,etc.)have an important impact on urban functions,and their service safety has attracted extensive attention from the scholars.By arranging sensors on engineering structures,sensing,collecting,transmitting and processing multiple data has become an important means to guarantee the safety of structures.Real-time monitoring generates a substantial amount of data,and how to carry out structural condition identification and damage assessment with monitoring data is one of the key scientific issues.Based on the monitoring data,the paper analyzes the existing structural modal identification methods for single buildings(including traditional modal identification methods and machine learning-based modal identification methods),then proposes the idea of structural condition identification for urban building clusters,and prospects the future development trend of structural modal identification.

关 键 词：工程结构 健康监测 模态识别 机器学习 

分 类 号：TU317[建筑科学—结构工程]