| Title |
Structural Safety Evaluation of Reinforced Concrete Members Using the Statistical Characterization of Design Variables |
| Authors |
Seo Dae-Won ; Nam Ho-Yun ; Yoo Suk-Hyeong ; Shin Sung-Woo |
| Keywords |
Structural Safety ; Reliability Analysis ; Bayesian Method ; AFOSM ; Statistical Characterization |
| Abstract |
The strength of reinforced concrete members may vary from the calculated or the nominal strength due to the variation in the material strength and dimensions of the element. Statistical description of the variabilities of loads and strengths are required in any studies regarding the safety of reinforced concrete members. Therefore, this paper recommend a number of values for the coefficient of variation of concrete, reinforcement, dimension and loads to be used in the probability analysis. Also, this study analyze reinforced concrete members by Advanced First Second Moment(AFOSM) method using statistical characterization of variables. This study shows that Bayes' theorem is an effective tool in updating prior probabilities when the value of a random parameter is known. Finally, the results in this paper contribute to the understanding of the limit states reliabilities implied in current design of reinforced concrete elements. |