A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
NON-PROBABILISTIC RELIABILITY SENSITIVITY ANALYSIS BASED ON CONVEX MODEL
Reliability sensitivity determines the relationship between reliability and the distribution parameters of uncertain variables, and guides reliability analysis and reliability design. A novel non-probabilistic reliability sensitivity analysis method based on ellipsoidal convex model was presented, in which non-probabilistic reliability sensitivity was defined as a partial derivative of non-probabilistic reliability index with respect to the distribution parameters of uncertain variables. The analytical equations of non-probabilistic reliability sensitivity for linear limit state functions were first derived. Through-two different choices of the linearization point, the approximate functions of non-linear limit state functions can be then obtained by using the first-order Taylor expansion, then the approximate analytical equations of non-probabilistic reliability sensitivity were given. Several numerical examples will be used to demonstrate the effectiveness and feasibility of the proposed methods.
NON-PROBABILISTIC RELIABILITY SENSITIVITY ANALYSIS BASED ON CONVEX MODEL
Reliability sensitivity determines the relationship between reliability and the distribution parameters of uncertain variables, and guides reliability analysis and reliability design. A novel non-probabilistic reliability sensitivity analysis method based on ellipsoidal convex model was presented, in which non-probabilistic reliability sensitivity was defined as a partial derivative of non-probabilistic reliability index with respect to the distribution parameters of uncertain variables. The analytical equations of non-probabilistic reliability sensitivity for linear limit state functions were first derived. Through-two different choices of the linearization point, the approximate functions of non-linear limit state functions can be then obtained by using the first-order Taylor expansion, then the approximate analytical equations of non-probabilistic reliability sensitivity were given. Several numerical examples will be used to demonstrate the effectiveness and feasibility of the proposed methods.
NON-PROBABILISTIC RELIABILITY SENSITIVITY ANALYSIS BASED ON CONVEX MODEL
QIAO XinZhou (author) / SU QuanWei (author) / LI Long (author) / Ge HongYu (author)
2019
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
| British Library Online Contents | 2009
| British Library Conference Proceedings | 2007
A non-probabilistic measure of reliability of linear systems based on expansion of convex models
| British Library Online Contents | 1995
A non-probabilistic measure of reliability of linear systems based on expansion of convex models
| Online Contents | 1995
Convex Set and Probabilistic Model-Based Hybrid Earthquake Loss Assessment Method
| SAGE Publications | 2015