A Statistical Study of Fatigue Life Prediction of Fibre Reinforced Polymer Composites

2011 ◽  
Vol 19 (9) ◽  
pp. 717-724 ◽  
Author(s):  
A. Tuğrul Seyhan
Keyword(s):  
Fatigue Life ◽  
Composite Structures ◽  
Goodness Of Fit ◽  
Unsaturated Polyester ◽  
Constant Stress ◽  
Goodness Of Fit Test ◽  
Statistical Tool ◽  
Composite Failure ◽  
Glass Fibre Reinforced ◽  
Two Parameter

In this study, the tension-tension fatigue response of bidirectional woven E-glass fibre reinforced unsaturated polyester composites was experimentally determined. The composite parts were produced via continuous laminating process. The probabilistic fatigue life distribution of the produced composites at various constant stress levels was then modelled, based on the two-parameter Weibull approach. A variety of different methods including graphical, method of moments and the maximum likelihood were conducted to predict the Weibull parameters. For the sake of reliability, the composite fatigue life data gathered at each constant stress level were correlated with the approvals of Kolmogorov-Smirnow goodness-of-fit test. Furthermore, the two parameter Weibull approach was utilized to relate the composite failure probability to the number of fatigue cycles that the composite withstands under a given load. As a result, the two-parameter Weibull approach has proved to be an efficient statistical tool to assess the reliability of polymer composite structures.

Probabilistic Failure Prediction of SCS-6/Ti-15-3 MMC Ring

1993 ◽  
Author(s):  
Frederic A. Holland ◽  
Erwin V. Zaretsky ◽  
Matthew E. Melis
Keyword(s):  
Fatigue Life ◽  
Stress Distribution ◽  
Fracture Strength ◽  
Composite Structures ◽  
Weibull Analysis ◽  
Effective Volume ◽  
Element Analysis ◽  
Simple Method ◽  
Sample Data ◽  
Two Parameter

Abstract Two-parameter Weibull analysis was used to predict the fracture strength and fatigue life of an SCS-6/Ti-15-3 MMC ring from coupon sample data. The fracture strength and fatigue life of the ring were assumed to be volume dependent. The predicted fracture strengths were determined in terms of maximum allowable ring internal pressure. Two methods were used. One simple method was to calculate an effective volume for an idealized ring on the basis of a theoretical solution approximating the stress distribution. The fracture strength and fatigue life of the coupon samples were then scaled to the effective volume of the ring. The other method utilized finite-element analysis to determine a more realistic stress distribution in the actual, geometrically imperfect ring. The total reliability of the ring was then determined by the product of the elemental reliabilities with coupon samples used as a gage. These approaches were compared with experimental fracture strength results. No fatigue data for the ring were available for comparison. Preliminary results indicate that Weibull analysis of coupon samples shows promise in predicting the fracture strength of metal-matrix composite structures.

The Statistical Boundary Polygon of a Two Parameter Stochastic Process

2006 ◽  
Author(s):  
Torfinn Ottesen ◽  
Jon A. Aarstein
Keyword(s):  
Convex Hull ◽  
Goodness Of Fit ◽  
Structural Integrity ◽  
Time Series Data ◽  
Extreme Values ◽  
Extreme Value Distribution ◽  
Series Data ◽  
Goodness Of Fit Test ◽  
Anderson Darling ◽  
Two Parameter

The simultaneous values of tension and bending are of primary interest when checking the structural integrity of dynamic risers and umbilicals. Considering extreme checks, it is generally sufficient to check the simultaneous values along the convex hull of the extreme contour. A method for obtaining a boundary polygon that approximates the statistical extreme convex hull from time series data is described. The procedure for obtaining the extreme values from the most suitable extreme value distribution as determined by the Anderson-Darling Goodness-of-Fit test is outlined.

Research on Random Stress Spectrum for Cumulative Fatigue of Crane Metal Structure

2011 ◽  
Vol 189-193 ◽  
pp. 1122-1126
Author(s):  
Ai Hong Wang ◽  
Ge Ning Xu ◽  
Ping Yang ◽  
You Shan Gao
Keyword(s):  
Fatigue Life ◽  
Dynamic Load ◽  
Goodness Of Fit ◽  
Latin Hypercube Sampling ◽  
Metal Structure ◽  
Distribution Model ◽  
Load Spectrum ◽  
Goodness Of Fit Test ◽  
Stress Spectrum ◽  
Dynamic Simulation Model

In order to calculate the fatigue life, lifting or unloading position, lifting weight and load mobile line of crane with automatic acquisition device were recorded on spot. Probability distribution model and its characteristic parameters of lifting weight and lifting or unloading position were analyzed with goodness of fit test. The random samples of the load spectrum parameters for the cumulative fatigue were also calculated with Latin Hypercube Sampling. Dynamic simulation model of crane metal structure was formed. Dynamic load function that dynamic load changed with time was also established, from which the stress spectrum through structural dynamics analysis in fatigue calculation point was acquired. Based on then above calculation, the remaining fatigue life of the prototype is 38 years.

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