Nowadays, long-term monitoring systems rely on the efficient implementation of automated methodologies to extract the modal parameters of buildings and bridges to assess their structural integrity. However, modal parameter estimation, usually, requires a certain level of user interaction, mainly when parametric system identification methods are used. Such procedures generally depend on the selection of a set of parameters, defined according to heuristic criteria, and kept constant during long monitoring campaigns. The main objective of this paper is to prove the necessity of abandoning identification approaches based on a single set of parameters for long-term monitoring campaigns and to propose a semi-automated modal identification tool, where the user-defined parameters vary within an established range of values, that can be set independently of the user’s expertise. The proposed method is validated with an application in the operational modal analysis of a historic civic tower, and its excellent results demonstrate the importance of considering multiple sets of parameters, mainly when dealing with complex structures and challenging monitoring conditions.

中文翻译：

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优化模态参数估计的半自动操作模态分析方法

如今，长期监测系统依靠自动化方法的有效实施来提取建筑物和桥梁的模态参数，以评估其结构完整性。然而，模态参数估计通常需要一定程度的用户交互，主要是在使用参数系统识别方法时。此类程序通常取决于一组参数的选择，这些参数根据启发式标准定义，并在长期监测活动期间保持不变。本文的主要目的是证明放弃基于单一参数集进行长期监测活动的识别方法的必要性，并提出一种半自动模态识别工具，其中用户定义的参数在既定范围内变化的价值观，可以独立于用户的专业知识进行设置。所提出的方法在一座历史悠久的市政塔楼的运行模态分析中的应用得到了验证，其出色的结果证明了考虑多组参数的重要性，主要是在处理复杂结构和具有挑战性的监测条件时。