Analysis of structural reliability under parameter uncertainties

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Interval Monte Carlo methods for structural reliability (2010, background): “The expectation of the conditional failure probability is often computed to characterize the total uncertainty [1,13]”
Unified uncertainty analysis by the mean value first order saddlepoint approximation (2012, background): “These uncertainties can be classified as epistemic or aleatory uncertainty (Kiureghian 2008; Du 2008a; Kiureqhian and Ditlevsen 2009; Zhang and Huang 2010).”
Reliability sensitivity analysis for structural systems in interval probability form (2011, background): “However, in reality, this assumption is unrealistic because both types of uncertainties, epistemic and aleotary uncertainties, often exist in engineering practice (Kiureqhian and Ditlevsen 2009; Kiureghian 2008; Huang and Zhang 2009; Huang and He 2008; Zhang et al. 2010a, b; Zhang and Huang 2010).”
Advanced line sampling for efficient robust reliability analysis (2015, background): “Since the latter applies to the majority of practical cases [12],”
Imprecise probabilities in engineering analyses (2013, unknown): “This includes Bayesian approaches [5, 6, 7, 8], interval probabilities [9, 10], random sets [11], evidence theory [12, 13], fuzzy stochastic concepts [14] and info-gap theory [15].”