Probabilistic analysis of resistance for RC columns with wind-dominated combination considering random biaxial eccentricity

authored by: Youbao Jiang, Junlin Zheng, Kailin Yang, Hao Zhou, Michael Beer
Abstract: For reinforced concrete (RC) column with biaxial eccentricity, the conventional design methods usually use the fixed eccentricity criterion to check its resistance, which may underestimate the variations of column resistance. Based on the load statistics compatible with the codes, the random properties of biaxial eccentricity are analyzed with Monte Carlo simulation (MCS) for representative columns in regular frame structures under both vertical load and wind load. Then, the tested capacity results of 103 relevant column specimen are collected from literatures. The uncertainty of the resistance model is analyzed for the reciprocal load method in code ACI 318-14. Based on the criterion of both random eccentricity and fixed eccentricity, the probability regarding load bearing capacity exceedance is analyzed for columns by MCS with different design parameters (e.g. axial compression ratio, etc.). The results indicate that based on the prescribed load statistics, the random properties of eccentricities along two principal directions are mainly controlled by the stochastic wind load, leading to that the eccentricities along two principal directions show an approximate perfect correlation; the random biaxial eccentricity has a significant influence on resistance variations and the maximum coefficient of variation is as large as 0.73.
Organisation(s): Institute for Risk and Reliability
External Organisation(s): Changsha University of Science and Technology
Type: Article
Journal: Structure and Infrastructure Engineering
Volume: 20
Pages: 730-740
No. of pages: 11
ISSN: 1573-2479
Publication date: 2024
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Civil and Structural Engineering, Building and Construction, Safety, Risk, Reliability and Quality, Geotechnical Engineering and Engineering Geology, Ocean Engineering, Mechanical Engineering
Electronic version(s): https://doi.org/10.1080/15732479.2022.2131842 (Access: Closed)