Reliability-based design optimization using probabilistic sufficiency factor

By Xueyong Qu, Raphael T. Haftka. 2004

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Design sensitivity and reliability-based structural optimization by univariate decomposition (2008, methodology): “…reliability analysis: (1) the first-order reliability method (FORM; Enevoldsen and Sorensen 1994; Kuschel and Rackwitz 1997; Kirjner-Neto et al. 1998; Chiralaksanakul and Mahadevan 2005; Tu et al. 1999; Agarwal and Renaud 2006) and (2) simulation methods (Royset and Polak 2004; Qu and Haftka 2004).”
Inverse reliability measures and reliability-based design optimisation (2006, methodology): “ Qu and Haftka (2003, 2004) called the inverse measure Probability Sufficiency”
Application of bootstrap method in conservative estimation of reliability with limited samples (2010, methodology): “Many methods have been proposed to estimate the reliability of a system, such as Monte Carlo simulation (MCS) method (Haldar and Mahadevan 2000), First and Second-order Reliability Method (Enevoldsen and Sorensen 1994; Melchers 1999), importance sampling method (Engelund and Rackwitz 1993), tail mod”