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首页> 外文期刊>Bulletin of earthquake engineering >Earthquake-induced damage localization in an historic masonry tower through long-term dynamic monitoring and FE model calibration
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Earthquake-induced damage localization in an historic masonry tower through long-term dynamic monitoring and FE model calibration

机译：通过长期动态监测和FE模型校准，地震诱导历史砌体塔中的灾害本地化

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摘要

This paper presents an enhanced version and the validation of a recently proposed methodology for earthquake-induced damage detection and localization in masonry towers by using long-term vibration monitoring data. The proposed enhanced method is based on continuous operational modal analysis through stochastic subspace identification, dynamic multiple linear regressive analysis to remove the effects of changing environmental conditions and finite element (FE) model updating. Any anomalous frequency deviation from normal conditions resulting from an earthquake triggers the damage localization process. This task is performed by solving an inverse FE model calibration problem, where equivalent elastic properties of macrostructural elements are identified by minimizing an objective function considering experimentally identified and numerically predicted damage-induced decays in natural frequencies and changes in eigenvector components. To minimize the computational effort of this calibration procedure, a quadratic surrogate model is constructed using a tuned numerical FE model of the structure. The methodology is validated through application to the "Sciri Tower", an historic civic masonry tower located in Perugia, Italy, that has been continuously monitored by the authors for more than 1 year. The validation is carried out by using simulated damage scenarios and a set of real far-field earthquake data and is based on a FE model of the tower including surrounding buildings, calibrated on the basis of the measured data from ambient vibration tests. The results demonstrate that the proposed procedure is capable of correctly detecting and localizing earthquake-induced damages.
机译：本文通过使用长期振动监测数据，提高了一个增强的版本和最近提出的地震诱导造成损伤检测和定位方法的验证。通过随机子空间识别，所提升的增强方法基于连续运行模态分析，动态多线性回归分析，以消除改变环境条件和有限元（FE）模型更新的影响。来自地震导致的正常条件的任何异常频率偏差触发了损坏的本地化过程。通过求解逆行模型校准问题来执行该任务，其中通过最小化实验识别的和数值预测的自然频率损坏的衰减和特征向量组件的变化来识别宏观结构元件的等效弹性特性。为了最小化该校准过程的计算工作，使用结构的调谐数值FE模型构建二次代理模型。该方法通过应用于意大利佩鲁贾的历史思型砌体塔，通过应用程序验证，该历史型公民砌体大厦已被作者连续监控超过1年。通过使用模拟损伤方案和一组真实的远场地震数据进行验证，并且基于包括周围建筑物的塔的FE模型，基于来自环境振动测试的测量数据校准。结果表明，所提出的程序能够正确地检测和定位地震诱导的损害赔偿。

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