Modeling Error of Strength of Short Reinforced Concrete Columns

Probabilistic analyses of the modeling errors of several selected strength prediction models for short reinforced concrete (RC) columns are carried out. The selected strength models include the rectangular stress block model and the stress-strain relation-based theoretical model. A relatively large amount of test data on RC columns is collected from the literature, and the test results are com-pared with the predicted ones obtained from different strength mod-els. Both normal- and high-strength concrete columns are included in this study. The dependency of the modeling errors on concrete compressive strength and the load eccentricity is investigated. Probabilistic analyses of the modeling errors are carried out by using the pseudolikelihood estimation method. Sets of probabilistic models of the modeling errors by considering different analysis approaches are suggested for short RC columns.