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Marine Structures Design

The MSDL is a growing group of faculty and students focused on developing the next generation of structural design and analysis tools for the marine industry.

Our ongoing work includes: the creation of rapid and accurate strength methods for lightweight aluminum marine structures, building unique evolutionary optimization approaches for rapid trade-space exploration of structural design options and configurations, as well developing novel tools to allow in service re-assessment of structures and updatable lifecycle cost, reliability, and capability forecasts. We combine modern numerical analysis techniques, stochastic and probabilistic methods, with an exclusive focus on the marine domain. Our deep understanding of the marine industry and the marine design problem allows us to develop innovative advances in technology that are compatible with the needs of naval architects working in the most challenging areas of ship and ocean structure design and maintenance.

New paper in Computers and Structures has appeared!

Liu, Yan, Han Koo Jeong, and Matthew Collette. 2016. “Efficient Optimization of Reliability-Constrained Structural Design Problems Including Interval Uncertainty.” Computers & Structures 177 (December): 1–11. doi:10.1016/j.compstruc.2016.08.004.

A novel interval uncertainty formulation for exploring the impact of epistemic uncertainty on reliability-constrained design performance is proposed. 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.

Free version of paper until 9 November 2016

Software for the method