Structural damage localization based on BLSTM model with sensor clustering

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Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (22) : 33-41.

HAN Qinghua1,2,3，MA Qian3，DANG Dazhi3，XU Jie1,2,3

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Abstract

To further improve the accuracy of structural damage localization in unsupervised mode, a structural damage localization method based on the BLSTM model with sensor clustering was proposed. Firstly, the virtual impulse response functions of sensors at different locations were predicted through the establishment of BLSTM models for different sensor clusters, and then a new damage identification index was constructed by the information entropy of the predicted residuals between the baseline condition and the unknown conditions, and damage localization was carried out accordingly. The validity and applicability of the method were verified by an experiment on an 8-DOF mass-spring system, an experiment on a steel I-beam and a simulation of truss structure. The results show that the proposed method not only can accurately localize both single-site and multi-site damage to a structure, but also identify the degree of damage by comparison of damage identification indexes at the same location. Even under the change of external environment and high noise interference, the proposed method can still have good damage localization results, which has good environmental adaptability and noise interference resistance.
Key words: damage localization; bidirectional long short-term memory; information entropy; statistical analysis; sensor clustering

Key words

damage localization / bidirectional long short-term memory / information entropy / statistical analysis / sensor clustering

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HAN Qinghua1,2,3，MA Qian3，DANG Dazhi3，XU Jie1,2,3. Structural damage localization based on BLSTM model with sensor clustering[J]. Journal of Vibration and Shock, 2022, 41(22): 33-41

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