Environmental effects on the experimental modal parameters of masonry buildings: experiences from the Italian Seismic Observatory of Structures (OSS) network

IF 3.6 2区 工程技术 Q1 ENGINEERING, CIVIL Journal of Civil Structural Health Monitoring Pub Date : 2024-09-10 DOI:10.1007/s13349-024-00847-0
D. Sivori, M. G. B. Merani, F. Bocchi, D. Spina, S. Cattari
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Abstract

The paper presents an in-depth analysis of the ambient dynamic behavior of nine masonry buildings monitored by the Italian Seismic Observatory of Structures (OSS). Addressing a significant knowledge gap affecting this structural type, the study reveals how daily and seasonal fluctuations in environmental factors have a notable influence on its experimental modal parameters. A robust frequency-domain tracking algorithm is first developed to identify and follow the evolution of modal parameters over time, exploiting ambient vibration recordings acquired at sub-daily intervals on the structures. The procedure is systematically applied to the entire portfolio of case-study buildings and, in the first year of training, integrated with measurements of environmental parameters provided by nearby weather stations. The multivariate regression analysis indicates that temperature variation is the primary driver of the observed wandering of natural frequencies. The frequency–temperature relationship shows a positive correlation above zero degrees and, in several cases, a significant degree of nonlinearity already present in low-frequency global modes. Simple predictive models are proposed to address such nonlinear behavior, including freezing conditions and accounting for internal heating during winter. Leveraging these novel insights, the work develops strategies to improve the efficiency of data acquisition protocols and training periods, enabling the near-future extension of real-time condition assessment methodologies to the entire OSS network.

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环境对砌体建筑实验模态参数的影响:意大利结构地震观测站(OSS)网络的经验
本文对意大利结构地震观测站(OSS)监测的九座砌体建筑的环境动力行为进行了深入分析。研究揭示了环境因素的日常和季节性波动如何对其实验模态参数产生显著影响,从而填补了影响该结构类型的重大知识空白。首先开发了一种稳健的频域跟踪算法,利用在结构上以次日间隔获取的环境振动记录,识别并跟踪模态参数随时间的演变。该程序被系统地应用于整个案例研究建筑组合,并在培训的第一年与附近气象站提供的环境参数测量相结合。多元回归分析表明,温度变化是观测到的自然频率波动的主要驱动因素。频率与温度的关系在零度以上呈现正相关,在一些情况下,低频全局模式已经出现了明显的非线性。针对这种非线性行为提出了简单的预测模型,包括冻结条件和冬季内部供暖。利用这些新颖的见解,该工作制定了提高数据采集协议和训练期效率的策略,使实时状态评估方法在不久的将来能够扩展到整个开放源码软件网络。
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来源期刊
Journal of Civil Structural Health Monitoring
Journal of Civil Structural Health Monitoring Engineering-Safety, Risk, Reliability and Quality
CiteScore
8.10
自引率
11.40%
发文量
105
期刊介绍: The Journal of Civil Structural Health Monitoring (JCSHM) publishes articles to advance the understanding and the application of health monitoring methods for the condition assessment and management of civil infrastructure systems. JCSHM serves as a focal point for sharing knowledge and experience in technologies impacting the discipline of Civionics and Civil Structural Health Monitoring, especially in terms of load capacity ratings and service life estimation.
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