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Recently a variety of materials subjected to rather diverse loading conditions have exhibited bimodal behavior for damage accumulation and failure. Traditional statistical modeling for such data has been relatively simplistic. Usually a mixtures or competing risks model is selected as the appropriate way in which to characterize bimodal data. With the development of advanced experimental testing procedures,...
Probability and statistics analyses are increasingly being used for reliability and durability assessments for life predictions of advanced material systems. Fatigue-life predictions have historically been based on crack-growth approaches, which are almost exclusively empirically based. Consequently, they often do not adequately reflect long-term operating conditions, which are well beyond laboratory...
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