Abstract: This work addresses the issue of model selection in adaptive kriging-based Monte Carlo reliability analysis. It is shown that arbitrary model selection (kriging trend and correlation) can lead to poor probability of failure ...

Abstract: Normal and lognormal random fields are commonly used in modeling material properties. Many series expansion approaches are available to generate a normal random field, whereby a lognormal random field can be transformed. ...

Abstract: Estimating the probability of failure for complex real-world systems using high-fidelity computational models is often prohibitively expensive, especially when the probability is small. Exploiting low-fidelity models can ...

Abstract: Discrete response of structures often is a key probabilistic quantity of interest. For example, one may need to identify the probability of a binary event, such as whether a structure has buckled. This study used an adaptive ...