Probabilistic Models for the Shear Strength of RC Deep Beams

A new shear strength determination of reinforced concrete (RC) deep beams was proposed by using a statistical approach. The Bayesian–MCMC (Markov Chain Monte Carlo) method introduced to establish prediction model and improve seven existing deterministic models with database 645 experimental data. bias correction terms were described key explanatory identified systematic removal process. Considering multi-parameters, the Gibbs sampling used solve high dimensional integration problem determine optimum reliable parameters 50,000 iterations for probabilistic models. continuity uncertainty quantified partial factor that investigated comparing test results. 1.25. showed improved accuracy mean coefficient variation (CoV) experimental-to-predicted results ratio as 1.0357 0.2312, respectively.