Considering the limit research and data deficiency of dynamic characteristics of RAC, the variability of dynamic characteristics of RAC from Bayesian updating perspective is of much value. This paper presents an analysis of variability of dynamic characteristics of RAC based on Bayesian approach at the material level. Firstly, for both NAC and RAC, 27 specimens were tested for statistical distribution of dynamic properties by the forced resonance method. The statistical parameters and appropriate probability density functions of the dynamic characteristics were assessed with classical statistical inference. Then, based on Bayesian updating, probabilistic distribution models for dynamic characteristics were proposed with vague-informative priors. Finally, the estimation models of fundamental frequency and damping ratio of RAC based on the Bayesian linear regression were presented. It is found that the variability of both the fundamental frequency and damping ratio of RAC are 12% and 16.2% times higher than that of NAC from classical statistical analysis. The normal distribution and lognormal distribution are the most suitable to describe the dynamic characteristics for NAC and RAC. The variability of dynamic characteristics is also a random variable with normal distribution. The standardized fundamental frequency is positively correlated with generalized modulus of elasticity, while standardized damping ratio is negatively correlated with standardized fundamental frequency.
Pengyuan Zhang — 1) School of Civil Engineering, Beijing Jiaotong University, No.3, Shangyuan Village, Haidian District, Beijing, China, 2) Wuhan Hanyang Municipal Construction Group Co., Ltd., 682 Sixin North Road, Hanyang District, Wuhan, China
Yuangfeng Wang and Baodong Liu — School of Civil Engineering, Beijing Jiaotong University, No.3, Shangyuan Village, Haidian District, Beijing, China
Kai Li — 1) School of Civil Engineering, Beijing Jiaotong University, No.3, Shangyuan Village, Haidian District, Beijing, China, 2) School of Civil Engineering, Xuchang University, No.88, Bayi Road, Weidu District, Xuchang, China
Jianzhuang Xiao — Department of Structural Engineering, Tongji University, 1239 Siping Road, Yangpu District, Shanghai, China
PDF Viewer
Preview is limited to the first 3 pages. Sign in to access the full PDF.
