Capturing the effects of detailed-chemistry on turbulent combustion processes is a central challenge faced by the numerical combustion community. However, the inherent complexity and non-linear nature of both turbulence and chemistry require that combustion models rely heavily on engineering approximations to remain computationally tractable. This thesis proposes a computationally efficient algorithm for modelling detailed-chemistry effects in turbulent diffusion flames and numerically predicting the associated flame properties. The cornerstone of this combustion modelling tool is the use of parallel Adaptive Mesh Refinement (AMR) scheme with the recently proposed Flame Prolongation of Intrinsic low-dimensional manifold (FPI) tabulated-ch...
International audienceDetailed chemical mechanisms have to be incorporated in turbulent combustion m...
International audienceDetailed chemical mechanisms have to be incorporated in turbulent combustion m...
Efficient and reliable numerical models have become important tools in the design and optimization p...
Capturing the effects of detailed-chemistry on turbulent combustion processes is a central challenge...
A parallel adaptive mesh refinement (AMR) algorithm is described for predicting tur-bulent non-premi...
Combustion is a complex phenomenon of interest that combines chemical reactions and turbulent flows....
In this paper we study the behavior of a premixed turbulent methane flame in three dimensions using ...
In this paper we study the behavior of a premixed turbulent methane flame in three dimensions using...
A parallel adaptive mesh refinement (AMR) algorithm is proposed and applied to the predictions of ...
Correctly reproducing the autoignition and the chemical composition of partially premixed turbulent ...
A parallel adaptive mesh refinement (AMR) algorithm is proposed and applied to the predictions of ...
Efficient and reliable numerical models have become important tools in the design and optimization p...
International audienceDetailed chemical mechanisms have to be incorporated in turbulent combustion m...
Efficient and reliable numerical models have become important tools in the design and optimization p...
Efficient and reliable numerical models have become important tools in the design and optimization p...
International audienceDetailed chemical mechanisms have to be incorporated in turbulent combustion m...
International audienceDetailed chemical mechanisms have to be incorporated in turbulent combustion m...
Efficient and reliable numerical models have become important tools in the design and optimization p...
Capturing the effects of detailed-chemistry on turbulent combustion processes is a central challenge...
A parallel adaptive mesh refinement (AMR) algorithm is described for predicting tur-bulent non-premi...
Combustion is a complex phenomenon of interest that combines chemical reactions and turbulent flows....
In this paper we study the behavior of a premixed turbulent methane flame in three dimensions using ...
In this paper we study the behavior of a premixed turbulent methane flame in three dimensions using...
A parallel adaptive mesh refinement (AMR) algorithm is proposed and applied to the predictions of ...
Correctly reproducing the autoignition and the chemical composition of partially premixed turbulent ...
A parallel adaptive mesh refinement (AMR) algorithm is proposed and applied to the predictions of ...
Efficient and reliable numerical models have become important tools in the design and optimization p...
International audienceDetailed chemical mechanisms have to be incorporated in turbulent combustion m...
Efficient and reliable numerical models have become important tools in the design and optimization p...
Efficient and reliable numerical models have become important tools in the design and optimization p...
International audienceDetailed chemical mechanisms have to be incorporated in turbulent combustion m...
International audienceDetailed chemical mechanisms have to be incorporated in turbulent combustion m...
Efficient and reliable numerical models have become important tools in the design and optimization p...