Identification and evaluation method of bridge abnormal state based on cloud model
Hongyan Tang, J. Gong, Chengjun Wen · IET conference proceedings. · 2023
In view of the uncertainty existing in the current bridge technical state evaluation process, it is suggested to introduce anomaly identification in the evaluation process. Combined with the cloud model theory and the ensemble empirical mode decomposition method, a cloud model-based bridge abnormal state evaluation method is proposed. Firstly, the original monitoring signal is decomposed by EEMD(Ensemble Empirical Mode Decomposition) to obtain multiple IMF(Intrinsic Mode Function ) components, and the mutual information method is used to select the IMF components. Finally, based on the cloud similarity distance between the clouds generated by IMF, a new cloud is synthesized, and the final generated cloud is used to evaluate the operation status of the bridge. The research shows that this evaluation method can effectively evaluate the operation state of bridge quality engineering, and can effectively evaluate the reliability of the structure. The process is more objective and the results are more comprehensive.