Example software for paper: "Efficient optimization of reliability-constrained structural design problems including interval uncertainty"

This item provides an example software implementation of a novel interval uncertainty formulation for exploring the impact of epistemic uncertainty on reliability-constrained design performance. An adaptive surrogate modeling framework is developed to locate the lowest reliability value within a multi-dimensional interval. This framework is combined with a multi-objective optimizer, where the interval width is considered as an objective. The resulting Pareto front examines how uncertainty reduces performance while maintaining a specified reliability threshold. Two case studies are presented: a cantilever tube under multiple loads and a composite stiffened panel. The proposed framework demonstrates its ability to resolve the Pareto front in an efficient manner.Office of Naval Research, Kelly Cooper Code 331 under grant N00014-11-1-0845http://deepblue.lib.umich.edu/bitstream/2027.42/133093/1/code.tarDescription of code.tar : Tarball of Python cod