TY  - EJOU
AU  - Fan, Xueping 
AU  - Yang, Guanghong 
AU  - Shang, Zhipeng 
AU  - Zhao, Xiaoxiong 
AU  - Liu, Yuefei 

TI  - Data Fusion about Serviceability Reliability Prediction for the Long-Span Bridge Girder Based on MBDLM and Gaussian Copula Technique
T2  - Structural Durability \& Health Monitoring

PY  - 2021
VL  - 15
IS  - 1
SN  - 1930-2991

AB  - This article presented a new data fusion approach for reasonably predicting dynamic serviceability reliability of the long-span bridge girder. Firstly, multivariate Bayesian dynamic linear model (MBDLM) considering dynamic correlation among the multiple variables is provided to predict dynamic extreme deflections; secondly, with the proposed MBDLM, the dynamic correlation coefficients between any two performance functions can be predicted; finally, based on MBDLM and Gaussian copula technique, a new data fusion method is given to predict the serviceability reliability of the long-span bridge girder, and the monitoring extreme deflection data from an actual bridge is provided to illustrated the feasibility and application of the proposed method.
KW  - Dynamic extreme deflection data; serviceability reliability prediction; structural health monitoring; multivariate Bayesian dynamic linear models; Gaussian copula technique

DO  - 10.32604/sdhm.2021.011922