The Computational Mechanics and Geometry Laboratory (CMGLab), led by Dr. John A. Evans of the Department of Aerospace Engineering Sciences, pioneers new approaches to the modeling and simulation of aerospace, naval, and energy systems by leveraging synergies between computational mechanics, geometry, and approximation theory. Current research thrusts include:
- Isogeometric Analysis: Development of fully-integrated computer-aided design and analysis technologies using the framework of isogeometric analysis, a novel computational approach which offers the possibility of integrating finite element analysis into conventional CAD tools.
- Structure-Preserving Methods: Design, analysis, and implementation of structure-preserving numerical methods for complex turbulent fluid flow, fluid-structure interaction, and wave propagation.
- High-Order Methods: Design, analysis, and implementation of high-order isogeometric, finite element, and spectral element methods for aerodynamics, structural dynamics, aeroacoustics, and electromagnetics in the presence of geometrically complex configurations.
- Turbulence Modeling and Simulation: Design, analysis, and implementation of improved Reynolds Averaged Navier-Stokes, Large Eddy Simulation, and Detached Eddy Simulation approaches for modeling and simulation of complex turbulent fluid flow.
- Geometrically Exact Mesh Generation: Development of algorithms for the automatic generation of high quality, geometrically exact curvilinear meshes from standard CAD descriptions.
- Surrogate Modeling: Construction of surrogate models enabling rapid design space exploration for aerospace, naval, and energy systems.
- Multi-Fidelity Modeling: Construction of low-cost, high-accuracy multi-fidelity models for simulation of complex turbulent fluid flow.
- Sensitivity Analysis and Shape Optimization: Construction of isogeometric sensitivity analysis and shape optimization modules for aerospace, naval, and energy systems.
The overarching goals of the CMGLab are to introduce new technologies which markedly and simultaneously improve the reliability, robustness, and accuracy of numerical simulation and to facilitate the use of computation in engineering design through the development of design-aware analysis technologies.
Back Row (Left to Right): Eric Peters, Luke Engvall, John Evans, Nicholas Moore, Ryan Aronson, Joseph Benzaken, Corey Nelson
Front Row (Left to Right): Ansel Rothstein-Dowden, Frits de Prenter, DeAnna Sewell, Arvind Dudi