Teitl: An indicator-based problem reduction scheme for coupled reactive transport models - dataset

Freeman BL, Cleall P, Jefferson AD (2020). An indicator-based problem reduction scheme for coupled reactive transport models - dataset. Cardiff University. http://doi.org/10.17035/d.2019.0079832549

Nid yw'r data hwn ar gael ar hyn o bryd oherwydd: Bwriad i gyhoeddi canlyniadau prosiect
Dull Mynediad: I anfon cais i gael y data hwn, ebostiwch opendata@caerdydd.ac.uk

Crewyr y Set Ddata o Brifysgol Caerdydd

Manylion y Set Ddata
Cyhoeddwr: Cardiff University
Dyddiad (y flwyddyn) pryd y daeth y data ar gael i'r cyhoedd: 2020
Fformat y data: .xlsx
Amcangyfrif o gyfanswm maint storio'r set ddata: Llai na 100 megabeit
Nifer y ffeiliau yn y set ddata: 6
DOI: 10.17035/d.2019.0079832549
Related URL: http://rm4l.com/


A significant number of transport models have been developed for the simulation of chemical transport in porous media. However, the computational cost can become prohibitively expensive when a problem comprises multiple chemical species; particularly if transport is considered within a significant domain over a long time period. This dataset contains the results produced by a numerical model employing a new indicator-based multi-order problem reduction scheme (PRS) that adresses this issue, as well as those of a full (non-reduced) model. The dataset comprises 6 Excel files, each of which contains predicted chemical concentrations, errors and CPU times of the simulations. The files correspon to: i) a diffusion problem for the validation of the full model, ii) an applicability investigation used to determine the range of applicability of each order of the PRS, iii) a 4 species diffusion problem for the 0th order scheme, iv) a 6 species diffusion problem for the 1st order scheme, v) a 10 species diffusion problem for the 2nd order scheme and vi) a 6 species advection dominant problem for the 1st and 2nd order scheme.

Research results based upon these data are published at http://doi.org/10.1002/nme.6186

Prosiectau Cysylltiedig
Resilient materials for life (RM4L) (03.04.2017 - 02.10.2022)

Diweddarwyd y tro diwethaf ar 2020-18-11 am 10:11