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Variable(s)APPENDIX 3 : Conference Paper "The Development and Application of Group Solversin the SMARTFIRE Fire Field Model", Ewer J., Galea E., Patel M. and Knight B.,Proceedings of Interflam '99, Edinburgh, UK, 1999, Vol. 2, pp 939-950.TABLE 1 : Summary of solver configurations used in simulations.Solver Linear False Whole “Active” “Calm”update relax time domain group groupmethod relax iterations iterations iterationsPressure SOR 0.6 NA 50 50 12 0Momentum SOR 1.0 0.5 6 6 2 0Turbulence SOR 1.0 0.1 20 20 5 0Enthalpy SOR 1.0 2.0 30 30 8 0Radiation SOR 1.0 0.0 20 20 5 0“Void”groupiterationsFurthermore all solvers were able to terminate their inner iterations if a commonconvergence level was reached. Each time step was forced to have all normalised variableresiduals converged, to 1.0e-03, before the next time step could be started.FIGURE 3 : Vertical slice through the domain showing the mesh and the various regions.Appendix 11.3 Page 143-7 7
APPENDIX 3 : Conference Paper "The Development and Application of Group Solversin the SMARTFIRE Fire Field Model", Ewer J., Galea E., Patel M. and Knight B.,Proceedings of Interflam '99, Edinburgh, UK, 1999, Vol. 2, pp 939-950.For comparison purposes, the following three test cases were simulated:Case 1:The simulation is configured with all solved variables using the whole domain SOR solversas specified in Table 1. For comparison purposes this constitutes the base case. The groupsolvers are not utilised in this test and so the code is run in a conventional manner.Case 2:The entire solution domain is configured into two static “geometric” groups, one groupconfigured as a “Void” group and another configured as an “Active” group (see table 1).The “Void” group contains all of the cells in the decoupled region above the fire room (i.e.14,260 cells or 35.2% of the entire cell buget). The “Active” group contains all of the cellsthat are not in the “Void” group region (i.e. 26,312 cells or 64.8% of the entire cell budget).While the group solvers are activated, group membership remains the same throughout thesimulation.Case 3:The entire solution domain is partitioned into four groups, two are static “geometric” groupsand two are “dynamic” membership groups. The first group is a static group that isconfigured as a “Void” group which contains all of the cells in the de-coupled region abovethe fire room (i.e. 14,260 cells or 35.2% of the entire cell budget). The second “static”group is configured as an “Active” group and contains all of the cells in the fire room, thosein the window aperture and a small rectangular block of cells that is immediately outside ofthe window (uses room with 8,280 cells and 2,366 cells from the extended region i.e. 10,646cells or 26.2% of the entire cell budget). The third group is “dynamic” and “Active” and isconfigured to determine cell membership from the non-static cells of the extended region.The group membership selection criteria is that absolute cell velocity is greater than 10% ofthe maximum domain velocity. The fourth “dynamic” group is configured as a “Calm” groupand contains extended region cells that have an absolute velocity of less than 10% of themaximum domain velocity. The two active groups share the remaining 15,666 extendedregion cells or 38.6% of the entire cell budget. Dynamic group membership is updated every10 sweeps.For the purposes of this paper, timing comparisons based on the first 50 time steps of eachtest will be presented. On the test computer (a Pentium II 400MHz with 256MB of RAM)this gave a convenient processing duration that could be run overnight without interruption.RESULTSOf primary interest, to this study, are the potential gains in numerical efficiencygenerated by the use of group solver technology. It should be noted that all three test casesproduced practically identical solutions with the same levels of convergence. A comparisonof the run times for the test cases is presented in table 2. Clearly, the group solver haspotential for introducing considerable savings in computational time.Appendix 11.3 Page 143-8 8
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PhD Thesis by John Ewer.analysis or
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PhD Thesis by John Ewer.computation
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PhD Thesis by John Ewer.1.4.3 Inves
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PhD Thesis by John Ewer.A more ambi
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PhD Thesis by John Ewer.2 Backgroun
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PhD Thesis by John Ewer.The figure
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PhD Thesis by John Ewer.GUI system.
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2.4.1 Develop a new CFD engine from
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PhD Thesis by John Ewer.nature of t
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PhD Thesis by John Ewer.availabilit
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PhD Thesis by John Ewer.operating s
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PhD Thesis by John Ewer.design. Any
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PhD Thesis by John Ewer.subsequent
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PhD Thesis by John Ewer.3.4.4 Use a
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PhD Thesis by John Ewer.at the time
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PhD Thesis by John Ewer.3.6.2 Data
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PhD Thesis by John Ewer.3.6.3 Struc
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PhD Thesis by John Ewer.SUBROUTINE
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PhD Thesis by John Ewer.(1:DIMENSIO
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PhD Thesis by John Ewer.regression
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PhD Thesis by John Ewer.3.7.3 Stage
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PhD Thesis by John Ewer.limitations
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PhD Thesis by John Ewer.3.7.8 Stage
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PhD Thesis by John Ewer.implementat
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PhD Thesis by John Ewer.4 Developme
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PhD Thesis by John Ewer.4.2.2 HCI d
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PhD Thesis by John Ewer.6 Research
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PhD Thesis by John Ewer.7 Prelimina
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PhD Thesis by John Ewer.The impleme
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PhD Thesis by John Ewer.Using the g
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PhD Thesis by John Ewer.fire spread
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PhD Thesis by John Ewer.FIGURE 7.2.
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PhD Thesis by John Ewer.groups and
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PhD Thesis by John Ewer.FIGURE 7.2.
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PhD Thesis by John Ewer.SOR solvers
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PhD Thesis by John Ewer.8 Conclusio
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PhD Thesis by John Ewer.programming
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PhD Thesis by John Ewer.26. [COBALT
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PhD Thesis by John Ewer.41. [UPHAM9
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PhD Thesis by John Ewer.70. [NETCFD
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PhD Thesis by John Ewer.11 Appendic
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APPENDIX 1 : SMARTFIRE VERIFICATION
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