A structural health monitoring (SHM) system was developed to study the ambient response of monopole communication structures in the UK operated by Arqiva Ltd. The exercise had several purposes that included the evaluation of the SHM system itself and the system identification procedures applied to the data, followed by analysis of the evaluated modal properties to validate the current analytical models, structural assessments and standardised design procedures advising on dynamics actions. This paper describes the instrumentation and procedures used during monitoring of a lightweight flexible 14.5 m tubular tapered monopole supporting an array of mobile telecoms antennas. A Bayesian OMA (BAYOMA) approach is implemented to identify structural modal properties under different time windows as comparison for further assessments. Results from stochastic subspace identification are also obtained and compared. The correlation between modal properties and monitoring wind-response data reveals specific tendencies such as nonlinear stiffness behaviour, the existence of aerodynamic damping and typical directionality of the mode shapes with future implications for reformulation of current methods of assessing dynamics on monopole.

开发了结构健康监测 (SHM) 系统来研究由 Arqiva Ltd 运营的英国单极通信结构的环境响应。该练习有几个目的，包括评估 SHM 系统本身和应用于数据的系统识别程序，然后是对评估的模态特性进行分析，以验证当前的分析模型、结构评估和标准化设计程序，为动力学行为提供建议。本文描述了在监测支持移动电信天线阵列的轻型柔性 14.5 m 管状锥形单极子时使用的仪器和程序。实施贝叶斯 OMA (BAYOMA) 方法来识别不同时间窗口下的结构模态特性，作为进一步评估的比较。还获得并比较了随机子空间识别的结果。模态特性与监测风响应数据之间的相关性揭示了特定的趋势，例如非线性刚度行为、空气动力学阻尼的存在和模态形状的典型方向性，对重新制定当前评估单极子动力学的方法具有未来影响。