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首页> 外文期刊>Frontiers in Built Environment >An Autonomous Strain-Based Structural Monitoring Framework for Life-Cycle Analysis of a Novel Structure
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An Autonomous Strain-Based Structural Monitoring Framework for Life-Cycle Analysis of a Novel Structure

机译：基于自主应变的结构监测框架，用于新型结构的生命周期分析

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In recent years, developed societies have largely adopted smart systems operating on the basis of information extracted from data. For infrastructure systems as well, Structural Health Monitoring (SHM) has long advocated a data-driven scheme for facilitating the operation and maintenance of infrastructure. In materializing such a goal, this paper demonstrates the procedures and outcomes of a SHM framework employed on an unconventional structure, namely the recently built "Kaeng Krachan" Elephant Shelter at the Zurich Zoo, relying on a deployed set of Fiber Bragg Grating (FBG) strain sensors. The structure comprises an 80 meter span free-form timber-composite cupola, carried by a post-tensioned reinforced concrete (RC) ring. FBG strain sensors are embedded into the ring in close vicinity to critical regions, selected in collaboration with the design engineers. The continuously acquired strain data is then exploited for extraction of performance indicators, relying on implementation of output-only identification methodologies. To this end, a non-parametric and a parametric output-only method, namely a Principal Component Analysis (PCA) scheme versus a Vector AutoRegressive (VAR) model, are employed and compared. Pre-conditioning of the predictive model is performed on the "healthy", or undamaged, state of the structure, and the misfit between model predictions and subsequent measurements is exploited as a damage precursor. The VAR scheme proves in this case a more robust representation of the measured strains, when compared against PCA, as a result of its inherent feature of memory.
机译：近年来，发达社会在很大程度上采用了以从数据中提取的信息为基础的智能系统。对于基础设施系统，结构健康监控（SHM）长期以来一直主张采用数据驱动的方案来促进基础设施的运营和维护。为了实现这一目标，本文演示了在非常规结构（即最近在苏黎世动物园建造的“ Kaeng Krachan”大象收容所）上使用的SHM框架的程序和结果，该框架依赖于已部署的光纤布拉格光栅（FBG）组应变传感器。该结构包括一个80米跨度的自由形式的木材复合冲天炉，由后张钢筋混凝土（RC）环承载。 FBG应变传感器被嵌入到环中靠近关键区域的位置，这是与设计工程师合作选择的。然后，依靠仅输出的识别方法的实施，将连续获取的应变数据用于性能指标的提取。为此，采用并比较了非参数和仅参数输出的方法，即主成分分析（PCA）方案与矢量自回归（VAR）模型。预测模型的预处理是在结构的“健康”或未损坏状态下进行的，模型预测与后续测量之间的不匹配被用作破坏先兆。与PCA相比，VAR方案在这种情况下证明了所测应变的更可靠表示，这是由于其固有的存储特性。

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