Reliability Analysis Methods for Mixed Uncertainties in Structural System with Multiple Modes

Chang Cong Zhou; Zhen Zhou Lu; Qi Wang

doi:10.4028/www.scientific.net/AMR.118-120.211

Paper Titles

Fatigue Life Prediction of Spot-Welded Structure under Different Finite Element Models of Spot-Weld
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Numerical Simulation and Experimental Research on Fatigue Strength of the Injector Guide Pillar under Complex Loads
p.196

Reliability Analysis of Interval Parameters Bar Structures with Affine Arithmetic
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Investigation of the Hydrogen Embrittlement on the 65Mn Steel from the Nuclear Power Plant with Small Punch Method
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Reliability Analysis Methods for Mixed Uncertainties in Structural System with Multiple Modes
p.211

Acoustic Emission Analysis of Composite Laminates under Low Velocity Impact
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Predicting Fatigue Life of Pre-Corroded LC4 Aluminum Alloy by Artificial Neural Network
p.221

A Study on Low-Velocity Impact Characteristics and Compression Strength after Impact of Ceramic/Resin Matrix Composites
p.226

Experimental Study of the Electrical Potential Technique for Crack Monitoring of LY12-CZ Plate Specimen
p.231

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 118-120Reliability Analysis Methods for Mixed...

Reliability Analysis Methods for Mixed Uncertainties in Structural System with Multiple Modes

Abstract:

For structural system with multiple modes simultaneously involving random variables, interval variables and fuzzy variables, a logical deduction algorithm is proposed to deal with propagation of uncertainties. Corresponding to assumed membership level in the membership level interval [0,1], the membership interval of fuzzy variables can be obtained. Firstly the fuzzy variables and the corresponding design points that optimize the respective mode will be calculated by iteration. Secondly, with the logical deduction, the interval of upper bound and lower bound of the system reliability with multiple modes can be solved by the fourth moment algorithm based on the point estimate, then the average of the interval will be used to approximate the true value of the upper bound and lower bound. Several numerical examples are presented to demonstrate the proposed method’s advantages both in efficiency and accuracy.

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Periodical:

Advanced Materials Research (Volumes 118-120)

Pages:

211-215

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.118-120.211

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Cite this paper

Online since:

June 2010

Authors:

Chang Cong Zhou, Zhen Zhou Lu, Qi Wang

Keywords:

Fuzzy Variable, Interval Variable, Logical Deduction, Mixed Uncertainty

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