Mechanics, Materials, and Computing (MMC)
The Mechanics, Materials, and Computing (MMC) group conducts research focused on the scientific understanding and practical application of the emergent complex behavior of materials, on composite materials, and structural health monitoring. MMC researchers analyze the deformation, flow, and failure of both natural and engineered materials. They also study the performance and response of materials and structural systems. Using advanced modeling, large-scale computer simulation techniques, and field measurements, current research includes:
- Mechanics of crystalline, granular and amorphous materials
- Dislocation mechanics
- Phase transformations
- Atomistic simulation
- Electromechanics of ‘smart’ materials
- Rheology of complex fluids
- Mechanics of soft matter
Structural health monitoring
- Engineering seismology and earthquake engineering
Research also aims to gain a better understanding of complex physical phenomena that would be difficult, if not impossible, to study by other means. Using mechanics, mathematics, and scientific computing as a foundation, the MMC group addresses the numerical simulation of solid, mechanical, and thermal phenomena with applications in the analysis and optimum design of engineering systems.
MMC Research Faculty
Examples of MMC research projects:
Machine Learning Approach to Materials Characterization: Transforming Data to Knowledge
From Discrete Dislocation Dynamics to Crystal Plasticity – a Spatio-Temporal Coarse-Graining Approach
Multidisciplinary University Research Initiative: Behavior of New Materials
Multidisciplinary University Research Initiative (MURI) grant from the Department of Defense to develop new methods to use quantum mechanics to provide fundamental insight into the behavior of new materials. This MURI program brings together interdisciplinary teams of researchers to problem-solve high-priority topics involving a cross-cutting approach. This project has applications that go well beyond aircraft composites. For instance, lightweight sensors, actuators, and other sophisticated electronics on aircraft use cutting-edge new materials whose properties can only be predicted using quantum mechanics.
Structural Health Monitoring of Windmills
This project leverages improved probabilistic modeling methods to ensure the integrity of windmills for electricity generation, in order to promote decreased dependence on fossil fuels and sustainability.
- Structural Systems
- Probabilistic Modeling