Alasdair Christison Gray

Alasdair Christison Gray
University of Michigan | U-M · Department of Aerospace Engineering

MSc

About

5
Publications
2,721
Reads
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9
Citations
Citations since 2016
5 Research Items
9 Citations
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201620172018201920202021202202468
Introduction
I'm a PhD candidate in the university of Michigan's MDO Lab. I'm primarily interested in developing methods that might make high-fidelity MDO (multidisciplinary design optimisation) a practical tool for designing the next generation of highly flexible aircraft.

Publications

Publications (5)
Conference Paper
Full-text available
As the computational resources available to aerodynamicists increase, so does the number of tools with which they can analyze their designs. The key skill of a good engineer is understanding when each tool produces realistic results. Even if no available tool can capture all relevant physical phenomena, this knowledge allows engineers to alter thei...
Conference Paper
Full-text available
When designing aircraft, avoiding dynamic aeroelastic instabilities such as flutter is a key requirement. One way to meet this requirement is to use a multidisciplinary design optimization subject to a flutter constraint. To date, flutter-constrained design optimizations have used geometrically linear models, that do not accurately predict flutter...
Conference Paper
Full-text available
Higher-aspect-ratio lightweight wings can make aircraft more energy efficient thanks to induced drag reduction. Because such wings exhibit large deflections, affecting the flutter onset, design optimization using linear flutter analysis is inadequate. To address this issue, we develop a framework for including a geometrically nonlinear flutter cons...
Conference Paper
Full-text available
Over the past decade, advances in multidisciplinary design optimization (MDO) have enabled the optimization of aircraft wings using high-fidelity simulations of their coupled aerodynamic and structural behavior. However, as their aspect-ratios increase, these wings increasingly exhibit geometrically nonlinear behavior that cannot be correctly model...

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