Application of Fuzzy Structural Analysis for Damage Prediction Considering Uncertain S/N Curve

Milan Vaško; Milan Sága

doi:10.4028/www.scientific.net/AMM.420.21

Paper Titles

Preface and Organizing Committee

A Subassembly Simulation Method with Physical Deformation and Reconstruction of an Aircraft
p.3

Study on Influences of Air Spring Failures on Ride Quality of High-Speed Railway Trains
p.9

Study on the Resonant Frequency Gliding in the Ultrasonic Systems Loaded with Variable Axial Compression Force
p.16

Application of Fuzzy Structural Analysis for Damage Prediction Considering Uncertain S/N Curve
p.21

Rough Air-Soft Elastohydrodynamic Lubrication
p.30

Theoretical Investigation of Transient Lubrication in Spur Gear
p.36

Variable Reynolds Number Experimental Study on Aerodynamic Characteristic of Supercritical Airfoil RAE2822
p.42

Experimental Investigation on Cavitation Characteristics of a Three-Groove Journal Bearing
p.47

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 420Application of Fuzzy Structural Analysis for...

Application of Fuzzy Structural Analysis for Damage Prediction Considering Uncertain S/N Curve

Abstract:

The paper presents chosen traditional (based on probability theory) and non-traditional (based on possibility theory) computational tools for analysis of the material, geometric or loading uncertainties in mechanical structures. Uncertainties are introduced as bounded possible values intervals or as fuzzy sets, assuming possibility theory and as random parameters in the case of the probability theory. The main goal was to propose numerical algorithms for fuzzy analysis of stochastic oscillated FE model (truss structure) and to predict fuzzy fatigue damage considering fuzzy S/N curve.

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Periodical:

Applied Mechanics and Materials (Volume 420)

Pages:

21-29

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.420.21

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Online since:

September 2013

Authors:

Milan Vaško, Milan Sága

Keywords:

Fuzzy Number, Fuzzy Set, Interval Arithmetic, Interval Number, Monte Carlo Method, Optimization, S/N Curve, Uncertain Parameter

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