Yu Zhang is a current Ph.D. student at the Engineering Design and Computing Lab at ETH Zurich and is currently working with NCCR project 2C.2 with a focus on Uncertainty-based Dynamic Design Synthesis as her research topic. With a background in both geotechnical engineering and structural engineering, Yu obtained her master’s degree at the Department of Civil & Environmental Engineering at Massachusetts Institute of Technology (MIT) in 2017, where she developed her skill in structural optimization and robust optimization, and was sent by MIT as a visiting fellow to Singapore University of Technology and Design (SUTD) to teach Linear Algebra and Multivariable Calculus in 2016. Yu joined Multi-disciplinary Design Optimization (MDO) team at Disney Research China in 2017 as a research associate and then entered ETH Zurich in 2018 for her
This research first employes statistical techniques to classify both epistemic and aleatory uncertainties, as well as to select proper uncertainty models that serve as input for the design synthesis. It then develops an Uncertainty-Based Design Dynamic Synthesis (UDDS) method for additively manufactured large-scale structures.
Role in the NCCR Digital Fabrication
Uncertainty-Based Dynamic Design Synthesis for Additively Manufactured Large-Scale Structures
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