Browsing Statistical Physics by Author "Trucchia, A."
Now showing items 1-15 of 15
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Concurent multi-scale physical parametrization of fire-spotting: A study on the role of macro- and meso-scale characteristics of the system
Egorova, V.; Trucchia, A.; Pagnini, G.
(2018)
The strong impact of wildfires in terms of lives and homes lost and of damage to ecosystems, calls for an urgent improvement in the risk management. The aim of the present research is the improvement of these software ... -
Darrieus-Landau instabilities in the framework of the G-equation
Pagnini, G.; Trucchia, A. (2017-04)
We consider a model formulation of the flame front propagation in turbulent premixed combustion based on stochastic fluctuations imposed to the mean flame position. In particular, the mean flame motion is described by ... -
Fire-spotting generated fires. Part I: The role of atmospheric stability
Egorova, V.; Trucchia, A.; Pagnini, G. (2019-02)
This is the first part of two papers concerning fire-spotting generated fires. In this part we deal with the impact of macroscale factors, such as the atmospheric stability, and in the second part we deal with mesoscale ... -
Front Curvature Evolution and Hydrodynamics Instabilities
Pagnini, G.; Trucchia, A. (2017-06-07)
It is known that hydrodynamic instabilities in turbulent premixed combustion are described by the Michelson-Sivashinsky (MS) equation. A model of the flame front propagation based on the G-equation and on stochastic ... -
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 ... -
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)
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, ... -
Quasi-probability Approach for Modelling Local Extinction and Counter-gradient in Turbulent Premixed Combustion
Pagnini, G.; Trucchia, A. (2018-05-23)
In opposition to standard probability distributions, quasi-probability distributions can have negative values which highlight nonclassical properties of the corresponding system. In quantum mechanics, such negative values ... -
RandomFront 2.3 A physical parametrisation of fire-spotting for operational fire spread models: Implementation in WRF-Sfire and response analysis with LSFire+
Trucchia, A.; Egorova, V.; Butenko, A.; Kaur, I.; Pagnini, G. (2018-12)
Fire-spotting is often responsible for a dangerous flare up in the wildfire and causes secondary ignitions isolated from the primary fire zone leading to perilous situations. The main aim of the present research to provide ... -
Restoring property of the Michelson-Sivashinsky equation
Trucchia, A.; Pagnini, G. (2019)
In this paper we propose a derivation of the Michelson-Sivashinsky (MS) equation that is based on front propagation only, in opposition to the classical derivation based also on the flow field. Hence, the characteristics ... -
The role of the environment in front propagation
Trucchia, A.; Pagnini, G. (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 ... -
Surrogate based Global Sensitivity Analysis of ADM1-based Anaerobic Digestion Model
(2021)In order to calibrate the model parameters, Sensitivity Analysis routines are mandatory to rank the parameters by their relevance and fix to nominal values the least influential factors. Despite the high number of works ... -
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 ... -
Wildfire propagation modelling
Pagnini, G.; Egorova, V.; Trucchia, A.; Mentrelli, A.; Kaur, I. (2018)
Wildfires are a concrete problem with a strong impact on human life, property and the environment, because they cause disruption and are an important source of pollutants. Climate change and ... -
Wildland fire propagation modeling: fire-spotting parametrisation and energy balance
Egorova, V.; Pagnini, G.; Trucchia, A. (2017-07-04)
Present research concerns the physical background of a wild-fire propagation model based on the split of the front motion into two parts - drifting and fluctuating. The drifting part is solved by the level set method and ... -
Wildland fire propagation modelling
Egorova, V.; Pagnini, G.; Trucchia, A. (2017-12)
Wildfire propagation modelling is a challenging problem due to its complex multi-scale multi-physics nature. This process can be described by a reaction- diffusion equation based on the energy balance principle. Alternative ...