Scaling and efficiency of prism in adaptive simulations of turbulent premixed flames

Impact of detailed chemistry and transport models on turbulent combustion simulations

“…We therefore refer the interested reader to other articles, for example [46] for repro-modeling, [47] for in-situ adaptive tabulation (ISAT), [48] for the piecewise reusable implementation of solution mapping (PRISM) and [49] for artificial neural-networks (ANN).…”

High-Speed Function Approximation

“…One can define a grid-based partitioning of the function domain [3], attempt to merge adjacent grid cells and use a search structure that performs a binary search along each dimension to find the cell the query point lies in. Another possible instantiation is a regression tree style partitioning of the function domain with a binary tree search structure.…”

“…Existing techniques in the combustion community use region-models that differ in the types of regions and models used [23,3,9,22,27]. However, no work in this community addresses search and approximation costs together.…”

High-pressure reduced-kinetics mechanism for n-hexadecane autoignition and oxidation at constant pressure

“…A different hybrid approach is the self-similar flamelet tabulation (S2FT) method initially developed for non-dilute laminar premixed flames but later extended also for dilute gaseous flames; the method exploits self similarity within the flame physical space [5,6]. Finally, methods based on storage and retrieval techniques have been devised to speed up the chemistry calculations such as the In Situ Adaptive Tabulation (ISAT) [7], piecewise reusable implementation of solution mapping (PRISM) [8], repro-modeling [9] and artificial neural networks (ANNs) [10].…”