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Ambient interference in long-term monitoring of buildings

机译:建筑物长期监控中的环境干扰

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摘要

It is a normal practice to consider the reduction of modal frequencies as an indicator for structural damage but some long-term monitoring studies revealed that the structural modal frequencies exhibited substantial seasonal variation without evidence of structural damage. Therefore, in order to perform reliable and consistent assessment on the health condition of civil engineering infrastructures, it is an indispensable task to quantify the modal frequency fluctuation induced by change of ambient conditions, such as temperature and humidity. In other words, it is necessary to distinguish the inevitable ambient interference from the abnormal changes due to structural damage and deterioration. In this paper, one-year daily measurement of a 22-storey reinforced concrete building is utilized to trace the variation of its modal frequencies, which are identified using the Bayesian spectral density approach with the ambient vibration data. Then, the Timoshenko beam model is considered to construct the mathematical model for the modal frequency-ambient condition relationship. Since the Timoshenko beam model incorporates both the shear and flexural deformation, it is appropriate for the behavior of buildings with different aspect ratios and configurations. Finally, Bayesian analysis is conducted to quantify the uncertain parameters in the modal frequency-ambient condition model. Results show that explicit consideration of the ambient temperature and relative humidity is essential for long-term structural health monitoring.
机译:通常的做法是将模态频率的降低视为结构破坏的指标,但是一些长期的监测研究表明,结构模态频率表现出明显的季节性变化而没有结构破坏的迹象。因此,为了对土木工程基础设施的健康状况进行可靠且一致的评估,量化由环境条件(例如温度和湿度)变化引起的模态频率波动是必不可少的任务。换句话说,有必要将不可避免的环境干扰与由于结构损坏和恶化而引起的异常变化区分开来。在本文中,对22层钢筋混凝土建筑进行了为期一年的每日测量,以跟踪其模态频率的变化,该模态频率是通过贝叶斯频谱密度法与环境振动数据一起确定的。然后,考虑用季莫申科梁模型来建立模态频率-环境条件关系的数学模型。由于季莫申科梁模型同时包含了剪切变形和弯曲变形,因此适合具有不同纵横比和构造的建筑物的行为。最后,进行贝叶斯分析以量化模态频率-环境条件模型中的不确定参数。结果表明,对环境温度和相对湿度的明确考虑对于长期结构健康监测至关重要。

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