Introduction for Special Section “Evaluation of Material Degradation, Lifetime and Remaining Lifetime”

Remaining Fatigue Lifetime Prediction for Retirement-for-Cause in Metals

A methodology is evaluated to predict the probability of specimen failure with subsequent fatigue, after a short surface crack has been detected in Al 2219-T851 alloy. Cracks are detected and tracked to failure using optical microscopy. Predictions of remaining lifetime distributions are made with a i~onte Carlo procedure in conjunction with growth laws which model the effect of grains of diffe...

+ & ? The Wear - out Approach for Predicting the c Remaining Lifetime

Failure models based on the Palmgren-Miner concept that material darnage is cumulative have been derived and used mainly for fatigue life predictions for metals and composite materials. Wexeview the principles underlying such models and suggest ways in which they may be best applied to polymeric materials in temperature environments. We first outline expectations when polymer degradation data c...

Degradation models and implied lifetime distributions

In experiments where failure times are sparse, degradation analysis is useful for the analysis of failure time distributions in reliability studies. This research investigates the link between a practitioner’s selected degradation model and the resulting lifetime model. Simple additive and multiplicative models with single random effects are featured. Results show that seemingly innocuous assum...

The Photocatalytic, Thermal Degradation Kinetics and Lifetime Prediction of Some Commercial Reactive Dyes

The photocatalytic degradation of the commercial reactive Black5 (RB5), Blue19 (RB19), Green19 (RG19), Red120 (RR120), and Yellow81 (RY81) in aqueous solution and sunlight were examined in the presence of Fe2O3 and the mixture Fe2O3/H2O2 as catalysts. The results showed that the photocatalytic degradation followed first-order...

An Evaluation of the Systems Reliability Using Fuzzy Lifetime Distribution