The conservation of historical buildings requires periodic inspections, maintenance, and/or strengthening interventions, resulting in significant costs. The accurate estimate of the structural condition may contribute to optimize the allocation of resources. With the diffusion of innovative technologies of Structural Health Monitoring (SHM), several permanent monitoring systems have been installed in the last decades in historical buildings. This fact has encouraged investigations about methods for the assessment of structural health based on recorded data. The aim of this study is to introduce a time‐domain approach for the analysis and interpretation of large amount of data from long‐term static monitoring of historical masonry structures. It is assumed that the recorded signals can be decomposed into two main components: a periodical one, mainly due to environmental actions, and a non‐periodical component related to potential variations in the state of conservation of the structure. The analysis of the two components is conducted through specific descriptors (here referred to as “reference quantities”) by means of statistical evaluations. Such reference quantities could be used as the roots for the establishment of standardized procedures for data analysis and interpretation. The approach has been applied to analyze data from the SHM system of the Two Towers of Bologna (Italy).

中文翻译：

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从历史结构的长期静态监视中进行数据解释的时域方法

保护历史建筑需要定期检查，维护和/或加强干预，从而导致大量成本。结构条件的准确估计可能有助于优化资源分配。随着结构健康监测（SHM）的创新技术的传播，在过去的几十年中，已经在历史建筑中安装了多个永久性监测系统。这一事实鼓励人们对基于记录数据的结构健康评估方法进行调查。这项研究的目的是介绍一种时域方法，用于对历史砌体结构进行长期静态监测来分析和解释大量数据。假定记录的信号可以分解为两个主要成分：一个周期成分，主要归因于环境行为，以及与结构保护状态的潜在变化相关的非周期性成分。通过统计评估，通过特定的描述符（此处称为“参考量”）对这两个成分进行分析。这些参考量可以用作建立数据分析和解释标准化程序的基础。该方法已应用于分析来自博洛尼亚（意大利）两塔的SHM系统的数据。这些参考量可以用作建立数据分析和解释标准化程序的基础。该方法已应用于分析来自博洛尼亚（意大利）两塔的SHM系统的数据。这些参考量可以用作建立数据分析和解释标准化程序的基础。该方法已应用于分析来自博洛尼亚（意大利）两塔的SHM系统的数据。