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Surrogate-assisted optimization for early stage marine structural design

February 17, 2016

  • Mr. Yan Liu
  • University of Michigan, Ann Arbur
  • Torg 1060
  • 4:00 p.m.
  • Faculty Host: Dr. Brown

Abstract: Structural decisions made in early stage of marine systems design can have a large impact on future acquisition, maintenance and life-cycle costs. However, owing to the nature of early stage marine system design, these critical structure decisions are often made on the basis of incomplete information or knowledge about the design. When coupled with design optimization analysis, these challenging aspects of early stage design make it very difficult to deliver a quantified trade-off analysis for decision making. The desired decision support methods require an integration of design optimization, high-fidelity analysis, and modeling of information uncertainty for early stage design and analysis. This seminar will discuss how to improve design optimization of marine structures with surrogate modeling techniques and strategies.
 


Bio: Yan Liu is PhD candidate in Naval Architecture and Marine Engineering at University of Michigan, Ann Arbor. Yan's dissertation examines impact of information uncertainty on structural design performance with efficient optimization methods. Yan started working with Professor Matthew Collette in the Marine Structure Design Lab in 2011, after receiving his Bachelor's degree from Huazhong University of Science and Technology, China.
 

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