Low order modal parameters and their change rate are main indexes of nondestructive detection of glass curtain wall bonded structure at present. The detection methods based on these indexes can’t effectively identify local micro damages, and the operation is cumbersome and not conducive to rapid implementation. Here, a sensitive and fast damage detection method based on the relative accumulative error (RAE) of origin FRF was proposed. With this method, the RAE value in a specific frequency band was taken as the detection index, the damage degree of structural adhesive separation around glass curtain wall panel was taken as the identification target, only one acceleration sensor needs to be installed, and the panel was hammered in the area close to the sensor to realize detection of bonded structure damage. Four groups of hidden frame glass curtain walls were taken as examples, effects of sensor installed position, cut-off analysis frequency (fu) and knocking position error on RAE were studied, and detections were conducted under 10 different damage working conditions for verification. The results showed that the relatively better installation position of the sensor is the intersection of the quarter point of long side and the quarter point of short side of the panel; RAE is negatively correlated to fu, when fu is not less than 16 times of the fundamental frequency f1, RAE of two different knocks is less than 2.0%; the hammering position is along long side of the panel, and the knocking point is controlled within 30 mm from the center of the sensor to have the optimal effect; since RAE is positively correlated to damage degree and more sensitive to damage, the minimum recognizable damage degree of this method can reach 1.5%; the proposed method can effectively improve speed and sensitivity of damage detection of glass curtain wall bonded structure, and provide new idea and direction for nondestructive detection of bonded structures.
Key words
glass curtain wall /
bonded structure /
damage detection /
frequency response function (FRF) /
relative accumulative error (RAE)
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