کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
307700 | 513393 | 2011 | 11 صفحه PDF | دانلود رایگان |

This paper proposes a quantile-based approach for calibrating reliability-based partial factors that is based on an equivalence principle between the design quantiles for the random variables and the target reliability. The potential advantage is to allow a single design quantile to maintain a more uniform reliability over a wider range of design parameters. The proposed approach does not require the capacity to be lumped as a single lognormal random variable in the Load and Resistance Factor Design (LRFD) format nor does it require tedious segment by segment optimization of the resistance factors in the Multiple Resistance Factor Design (MRFD) format. The applicability, usefulness, and limitation of the proposed approach are illustrated using three examples. The results show that the proposed approach is able to maintain a uniform reliability over a wider range of design parameters with a single design quantile, which cannot be easily attained by other calibration methods such as the First-Order Reliability Method.
► We propose a new idea for calibrating partial factors in reliability-based design codes. It uses the quantiles of the random variables as the design values.
► We propose a theory that connects the target reliability with the required quantiles. As a result, the required quantiles can be found according to the target reliability.
► We compare the performance of the proposed method with two common calibration methods for reliability-based design codes. The comparison shows that the proposed method is more robust.
Journal: Structural Safety - Volume 33, Issues 4–5, July 2011, Pages 275–285