Development of a hybrid reliability-centered model for escalator systems

Author(s):  
Daniel O. Aikhuele ◽  
Grace Ijele-Aikhuele
Keyword(s):  
2015 ◽  
Vol 12 (04) ◽  
pp. 1540006 ◽  
Author(s):  
C. Jiang ◽  
J. Zheng ◽  
B. Y. Ni ◽  
X. Han

This paper proposes a probability-interval mixed uncertainty model considering parametric correlations and a corresponding structural reliability analysis method. First of all, we introduce the sample correlation coefficients to express the correlations between different kinds of uncertain variables including probability and interval variables. Then dependent parameters are transformed into independent ones through a matrix transformation. A reliability analysis model is put forward, and an efficient method is built to obtain the reliability index or failure probability interval of the structure. Finally, four numerical examples are provided to verify the validity of the method.


Energies ◽  
2017 ◽  
Vol 10 (7) ◽  
pp. 895 ◽  
Author(s):  
Haipeng Xie ◽  
Zhaohong Bie ◽  
Yanling Lin ◽  
Chao Zheng

2006 ◽  
Vol 321-323 ◽  
pp. 1526-1529 ◽  
Author(s):  
Jung Won Huh ◽  
Kiseok Kwak

An efficient and accurate hybrid reliability method is developed to quantify the risk of an axially loaded pile considering pile-soil interaction behavior and uncertainties in various design variables. It intelligently integrates the concepts of the response surface method, the finite difference method, the first-order reliability method, and the iterative linear interpolation scheme. Uncertainties associated with load conditions, material and section properties of the pile and soil properties are explicitly considered. The algorithm is verified using the Monte Carlo Simulation technique.


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