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On the merits of sparse surrogates for global sensitivity analysis of multi-scale nonlinear problems: Application to turbulence and fire-spotting model in wildland fire simulators
Trucchia, A.; Egorova, V.; Pagnini, G.
; Rochoux, M.C. (2019-02)
; Rochoux, M.C. (2019-02)
Many nonlinear phenomena, whose numerical simulation is not straightforward, depend on a set of parameters in a way which is not easy to predict beforehand. Wildland fires in presence of strong winds fall into this category, ...
Front Propagation in Random Media
(2019)
This PhD thesis deals with the problem of the propagation of fronts under random circumstances. A
statistical model to represent the motion of fronts when are evolving in a media characterized by
microscopical randomness ...
Surrogate-based uncertainty and sensitivity analysis for bacterial invasion in multi-species biofilm modeling
(2019)
In this work, we present a probabilistic analysis of a detailed one-dimensional biofilm model that explicitly accounts for planktonic bacterial invasion in a multi-species biofilm. The objective is (1) to quantify and ...
The role of the environment in front propagation
Trucchia, A.; Pagnini, G. (2018-07-09)
(2018-07-09)
In this work we study the role of a complex environment in the propagation of a front
with curvature-dependent speed. The motion of the front is split into a drifting part and
a fluctuating part. The drifting part is ...