Probabilistic Mechanics
Lead by Professor Deodatis, the department's research in probabilistic mechanics focuses on:
- Development of innovative algorithms for simulation of stochastic processes and fields. Particular emphasis is given to non-Gaussian processes and fields, to multi-variate processes and fields, and to non-stationary processes and non-homogeneous fields
- Development of computationally efficient methodologies for determining upper bounds of the response variability of systems with uncertain and spatially varying system properties
- Effect of multiple scales on the response of stochastic finite element systems
- Effect of non-Gaussianity of material properties on the response of systems with uncertain system properties
- Effect of spatially varying and uncertain soil properties on a wide range of problems in geomechanics: soil liquefaction, slope stability, bearing capacity
- Characterization, modeling and simulation of the random microstructure of two-phase materials
- Effect of random imperfections on the stability of a wide range of structural systems