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Inspection and Reconstruction of Metal-Roof Deformation under Wind Pressure Based on Bend Sensors

机译:基于弯曲传感器的风压金属屋盖变形检测与修复

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摘要

Metal roof sheathings are widely employed in large-span buildings because of their light weight, high strength and corrosion resistance. However, their severe working environment may lead to deformation, leakage and wind-lift, etc. Thus, predicting these damages in advance and taking maintenance measures accordingly has become important to avoid economic losses and personal injuries. Conventionally, the health monitoring of metal roofs mainly relies on manual inspection, which unavoidably compromises the working efficiency and cannot diagnose and predict possible failures in time. Thus, we proposed a novel damage monitoring scheme implemented by laying bend sensors on vital points of metal roofs to precisely monitor the deformation in real time. A fast reconstruction model based on improved Levy-type solution is established to estimate the overall deflection distribution from the measured data. A standing seam metal roof under wind pressure is modeled as an elastic thin plate with a uniform load and symmetrical boundaries. The superposition method and Levy solution are adopted to obtain the analytical model that can converge quickly through simplifying an infinite series. The truncation error of this model is further analyzed. Simulation and experiments are carried out. They show that the proposed model is in reasonable agreement with the experimental results.
机译:金属屋顶护套因其重量轻,强度高和耐腐蚀而广泛用于大跨度建筑物。但是,其恶劣的工作环境可能会导致变形,泄漏和扬升等。因此,提前预测这些损坏并采取相应的维护措施对于避免经济损失和人身伤害已变得很重要。传统上,金属屋顶的健康监测主要依靠人工检查,这不可避免地损害了工作效率,并且无法及时诊断和预测可能的故障。因此,我们提出了一种新颖的损伤监测方案,该方案通过在金属屋顶的重要点上放置弯曲传感器来实时精确监测变形。建立了基于改进的Levy型解决方案的快速重建模型,以根据测量数据估算整体挠度分布。风压下的直立接缝金属屋顶被建模为具有均匀载荷和对称边界的弹性薄板。采用叠加法和Levy解,通过简化无穷级数可以快速收敛。进一步分析了该模型的截断误差。进行仿真和实验。他们表明,提出的模型与实验结果合理吻合。

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