Abstract Damage localization/quantification through vibration-based Structural Health Monitoring (SHM) is commonly performed by inverse calibration of a numerical model. Nevertheless, the numerous simulations required in the associated optimization problem pose a daunting obstacle when applied to real-time SHM. Particularly critical are heritage buildings, whose complex geometries often require computationally intensive modellings. In this light, this paper presents a novel earthquake-induced damage identification approach for historic masonry structures. This relies upon the use of a computationally efficient meta-model suited for real-time system identification. The optimization problem is formulated accounting for discrepancies between numerical and experimental resonant frequencies and mode shapes. Damage localization/quantification is enabled by multivariate analyses of continuously identified model parameters. A real medieval tower is presented as a case study, and several damage scenarios are simulated and used for validation. The reported results pave the way for the development of next-generation long-term vibration-based SHM systems with real-time damage identification capabilities.

中文翻译：

---

基于元模型的模式识别方法用于实时识别历史砖石结构中的地震损伤

摘要 通过基于振动的结构健康监测 (SHM) 的损伤定位/量化通常通过数值模型的逆校准来执行。然而，当应用于实时 SHM 时，相关优化问题中所需的大量模拟构成了令人生畏的障碍。特别重要的是遗产建筑，其复杂的几何形状通常需要计算密集型的建模。有鉴于此，本文提出了一种用于历史砖石结构的新型地震损伤识别方法。这依赖于适用于实时系统识别的计算高效元模型的使用。优化问题的制定考虑了数值和实验共振频率和模式形状之间的差异。通过对连续识别的模型参数进行多变量分析，可以实现损伤定位/量化。作为案例研究展示了一座真实的中世纪塔楼，并模拟了几种损坏场景并用于验证。报告的结果为开发具有实时损伤识别能力的下一代基于长期振动的 SHM 系统铺平了道路。