SHEAR STRENGTH OF REINFORCED CONCRETE COLUMN BASED ON THE BAYESIAN THEORY

摘要

That the concrete code of structure design of shear capacity for column is gained through simi-emperical and semi theoretical,however,due to the limited test data and concrete structure of its own characteristics,standardize formula can not cover all the columns of shear calculations,so the thought of dynamic information updates based on Bayesian approach was introduced in paper.A Bayesian prior model is proposed based on epistemic information from the empirical formula.Two types of the information,the epistemic information and the experimental information,are synthesized by Bayesian approach and inferred to update the prior model.And the unvaried probabilistic model for shear capacities of reinforced concrete column is constructed and the unknown model parameter is estimated.Then modify the models and construct the new one.Though the values of the prior model,posterior model and experimental are calculated and compared,advantages of Bayesian dynamic information updates can be seen.The approach inherits the completeness of the prior model and the accuracy of number of experimental data information,so it can more accurately predict and verify shear strength of concrete column.