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Active Thermal Sensing for Bonding Structure Damage Detection of Hidden Frame Glass Curtain Wall

机译:用于粘接结构损伤检测隐藏框架玻璃幕墙的主动热敏

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摘要

Adhesive bonded structure damage of hidden frame glass curtain wall will cause falling glass, which threatens the security of people and property. Therefore, the damage detection of the adhesive bonded structure of glass curtain wall has great significance. In this paper, active thermal sensing technology for bonding structure damage detection was introduced. Firstly, the thermal wave propagation of bonded structure was analyzed. Second, the simulated annealing algorithm and TracePro simulation were utilized to design the heat source. Thirdly, the platform of active thermal sensing was built, and experiments were conducted. Finally, image fusion enhancement of Laplacian pyramid was utilized to the enhancement process of thermal images. The simulation results showed that the irradiance of the cross-optimization was more uniform, and the uniformity was 17.50% higher than the original design value. The experiments results showed that defects of different sizes and depths can be distinguished. The gray differences of the damages on the depth of 0 mm and 4 mm were 0.025 and 0.045, respectively. The thermal wave testing can detect damage intuitively and rapidly, which is significant for the future research of unmanned detection of bonding structure damage of hidden frame glass curtain wall.
机译:隐藏式框架玻璃幕墙的粘接结构损坏将导致落下的玻璃,这威胁着人们和财产的安全性。因此,玻璃幕墙的粘合结构的损伤检测具有重要意义。本文介绍了粘接结构损伤检测的主动热传感技术。首先,分析了粘合结构的热波传播。其次,利用模拟退火算法和TRACEPRO模拟来设计热源。第三,建造了有源热敏的平台,并进行了实验。最后,利用Laplacian金字塔的图像融合增强来增强热图像的增强过程。仿真结果表明,交叉优化的辐照度更均匀,均匀性比原始设计值高17.50%。实验结果表明,可以区分不同尺寸和深度的缺陷。 0mm和4 mm深度的损伤的灰色差异分别为0.025和0.045。热波测试可以直观且迅速地检测损坏,这对于未来对隐藏的框架玻璃幕墙的粘接结构损坏的无人检测的未来研究是显着的。

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