基于离散小波变换的隐框玻璃幕墙结构胶损伤程度识别方法OA
Identification Method of Structural Adhesive Damage Degree in Hidden Frame Glass Curtain Walls Based on Discrete Wavelet Transform
针对隐框玻璃幕墙结构胶损伤程度难以量化评估的问题,提出一种基于离散小波变换的损伤识别方法.利用橡胶锤激励玻璃面板,采用高灵敏度加速度传感器采集振动响应信号;选用db3小波基函数对信号进行6层分解,提取细节系数模极大值作为损伤指标;设计包含单边损伤程度0~75%、多边同损伤程度不同位置共7种工况的600 mm × 600 mm隐框玻璃幕墙试件实验,系统采集49个测点的数据.结果表明,d4层细节系数模极大值与损伤程度呈现强线性负相关(R2=0.98),损伤程度每增加1级,模极大值下降11.3m/s2,严重损伤时d4值较无损状态降低75.1%;d2和d3层系数对损伤位置敏感,结合d4层模极大值下降幅度的空间差异,损伤位于测点对侧与邻近时降幅相差5.7 m/s2,可以此实现损伤位置的可靠定位.相较传统模态分析法,该方法无需建模,识别误差降低40%以上,为幕墙安全监测提供高精度、抗干扰的技术支撑.
To address challenge of quantifying the extent of damage of structural adhesives in hidden-frame glass curtain wall structures,a damage identification method based on discrete wavelet transform is proposed.Rubber hammers are used to excite the glass panels,and high-sensitivity accelerometers are employed to collect vibration response signals.The db3 wavelet basis function is selected to decompose the signals into six layers,with the maximum modulus of the detail coefficients serving as the damage indicator.An experimental setup involving 600 mm × 600 mm frameless glass curtain wall specimens is designed,encompassing seven scenarios:single-sided damage ranging 0~75%and multi-sided damage with varying degrees of severity at different locations.Data from 49 measurement points are systematically collected.The results show that the d4 layer detail coefficient modulus maximum exhibit a strong linear negative correlation with damage severity(R2=0.98).For each increase of one level in damage severity,the modulus maximum decreases by 11.3 m/s2,and under severe damage conditions,the d4 value decreases by 75.1%compared to the undamaged state.The coefficients of the d2 and d3 layers are sensitive to damage location,combined with the spatial differences in the decrease in the modulus maximum of the d4 layer,the decrease varies by 5.7 m/s2 when the damage is located on the opposite side or adjacent to the measurement point,enabling reliable localization of the damage location.Compared to traditional modal analysis methods,the method does not require modeling,reducing identification errors by over 40%,providing high-precision,interference-resistant technical support for curtain wall safety monitoring.
阎玉芹;杨帆;付娜;张鑫;王祥诚;孙捷
山东建筑大学机电工程学院,济南 250101||山东建筑大学 门窗幕墙研究所,济南 250101山东建筑大学机电工程学院,济南 250101山东建筑大学机电工程学院,济南 250101山东建筑大学机电工程学院,济南 250101山东建筑大学机电工程学院,济南 250101山东建筑大学机电工程学院,济南 250101||山东建筑大学 门窗幕墙研究所,济南 250101
信息技术与安全科学
隐框玻璃幕墙结构胶离散小波变换损伤识别细节系数模极大值
hidden frame glass curtain wallstructural adhesivediscrete wavelet transformdamage identificationmodulus maximum of detail coefficient
《机电工程技术》 2026 (4)
8-13,55,7
山东省自然科学基金(ZR2022ME186)山东省科技型中小企业创新能力提升工程项目(2024TSGC0979,2024TSGC0110)
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