Reliability assessment of three-dimensional bearing capacity of shallow foundation using fuzzy set theory

Author(s):  
Rajarshi Pramanik ◽  
Dilip Kumar Baidya ◽  
Nirjhar Dhang
2012 ◽  
Vol 57 (7) ◽  
pp. 266-270 ◽  
Author(s):  
V. F. Kravchenko ◽  
V. I. Ponomaryov ◽  
V. I. Pustovoit

Author(s):  
Vladislav G. Belov ◽  
Vladimir A. Tremyasov

The study proposes a probabilistic method using triangular fuzzy numbers to analyze the reliability of the traction substation. With this approach, the reliability assessment of the traction substation can be performed considering changes in the values of reliability indicators of electrical equipment, determined on the basis of the fuzzy set theory


1998 ◽  
Vol 120 (3) ◽  
pp. 270-275 ◽  
Author(s):  
J. Tang

An approach to assessing the reliability of mechanical components, especially for pressure vessels and piping, is proposed in which the vagueness and fuzziness in variables have been considered. In this method, a fuzzy-random reliability model is developed by using a fuzzy-set theory. This particular theory can be described as a generalization of the classical set theory. Using a fuzzy-set theory, a failure event is defined in a more flexible form than usual. In particular, the concept of nonfuzzy probability of fuzzy events is used to derive a reliability approach which includes the subjectivity of human judgement. Meanwhile, a constructive way for generating a membership function of a fuzzy set is also provided in the paper.


2008 ◽  
Vol 53 (7) ◽  
pp. 363-367 ◽  
Author(s):  
V. F. Kravchenko ◽  
V. I. Ponomaryov ◽  
V. I. Pustovoĭt

Author(s):  
KM. Meenakshi ◽  
Akshay Kumar ◽  
S. B. Singh

This chapter considers a consecutive r-out of-k-from n: G system taken for the study. The considered system works if at least r elements out of k consecutive elements within n elements work. The consecutive r-out of-k-from n: G system is special case of linear consecutive k-out-of-r-from-n:G system. A technique is applied for analyzing fuzzy reliability of the system using universal generating function and fuzzy set theory. At the end of the chapter, the proposed technique is demonstrated from a numerical example.


2010 ◽  
Vol 55 (2) ◽  
pp. 58-63 ◽  
Author(s):  
V. F. Kravchenko ◽  
V. I. Ponomaryov ◽  
V. I. Pustovoĭt

2020 ◽  
Vol 265 ◽  
pp. 121779 ◽  
Author(s):  
Luiz Maurício Furtado Maués ◽  
Brisa do Mar Oliveira do Nascimento ◽  
Weisheng Lu ◽  
Fan Xue

Sign in / Sign up

Export Citation Format

Share Document