Welcome to the Uncertainty Quantification in Computational Mechanics Group in the Department of Civil and Environmental Engineering at Duke University
Our research focuses on proposing new methodologies, models and algorithms for Uncertainty Quantification (UQ) in Computational Mechanics, with an emphasis on multiscale problems from the nanoscale up to the macroscale, including atomistic and/or continuum representations and simulations. We specifically tackle the following core questions as an interdisciplinary research:
- How to faithfully model data under both mathematical and physical constraints?
- How to efficiently localize/propagate uncertainties in (non)linear complex models?
- How to calibrate and validate large-scale models, given typical experimental constraints?
The proposed frameworks find applications in a broad range of engineering and scientific fields or projects, such as:
- the multiscale and multiphysics modeling of complex heterogeneous materials and systems;
- the identification of material (e.g. soil) properties solving statistical inverse problems;
- the modeling of (non)linear materials with non separated scales and/or uncertainties.
Some parts of this website are currently under construction: please check back for updates!