1 | function solutionsequence_nonlinear(femmodel::FemModel,analysis::Analysis,maxiter::Int64,restol::Float64,reltol::Float64,abstol::Float64) # {{{
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2 |
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3 | #Initialize number of iterations
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4 | count = 0
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5 | converged = false
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6 |
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7 | #Get existing solution
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8 | ug = GetSolutionFromInputsx(analysis,femmodel)
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9 | uf = Reducevectorgtofx(ug,femmodel.nodes)
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10 |
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11 | #Update once again the solution to make sure that vx and vxold are similar (for next step in transient or steadystate)
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12 | InputUpdateFromSolutionx(analysis,ug,femmodel)
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13 |
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14 | #Loop until we reach convergence
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15 | while(~converged)
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16 |
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17 | #Get new matrices
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18 | Kff, Kfs, pf = SystemMatricesx(femmodel,analysis)
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19 |
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20 | #Enforce constraints
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21 | ys = CreateNodalConstraintsx(femmodel.nodes)
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22 | Reduceloadx!(pf, Kfs, ys)
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23 |
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24 | #Solve!
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25 | old_uf = uf
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26 | uf = Solverx(Kff, pf, old_uf)
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27 |
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28 | #Merge uf with ys
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29 | Mergesolutionfromftogx(ug, uf, ys, femmodel.nodes)
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30 |
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31 | #Check for convergence
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32 | converged = convergence(Kff,pf,uf,old_uf,restol,reltol,abstol)
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33 | InputUpdateFromSolutionx(analysis,ug,femmodel)
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34 |
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35 | #Increase count
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36 | count += 1
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37 | if(count>=maxiter)
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38 | println(" maximum number of nonlinear iterations (",maxiter,") exceeded")
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39 | converged = true
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40 | end
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41 | end
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42 |
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43 | print("\n total number of iterations: ", count, "\n")
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44 |
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45 | end# }}}
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46 | function convergence(Kff::IssmMatrix, pf::IssmVector, uf::IssmVector, old_uf::IssmVector, restol::Float64, reltol::Float64, abstol::Float64)#{{{
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47 |
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48 | print(" checking convergence\n");
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49 |
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50 | #If solution vector is empty, return true
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51 | if(IsEmpty(uf))
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52 | return true
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53 | end
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54 |
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55 | #Convergence criterion #1: force equilibrium (Mandatory)
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56 | #compute K[n]U[n-1] - F
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57 | KUold = Duplicate(uf); MatMult!(Kff,old_uf,KUold)
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58 | KUoldF = Duplicate(KUold); VecCopy!(KUold, KUoldF); AXPY!(KUoldF, -1.0, pf)
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59 | nKUoldF = Norm(KUoldF,2)
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60 | nF = Norm(pf,2)
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61 | res = nKUoldF/nF
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62 | if ~isfinite(res)
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63 | println("norm nf = ", nF, " and norm kuold = ",nKUoldF)
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64 | error("mechanical equilibrium convergence criterion is not finite!")
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65 | end
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66 | if(res<restol)
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67 | print(" mechanical equilibrium convergence criterion ", res*100, " < ", restol*100, " %\n")
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68 | converged=true
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69 | else
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70 | print(" mechanical equilibrium convergence criterion ", res*100, " > ", restol*100, " %\n")
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71 | converged=false;
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72 | end
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73 |
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74 | #Convergence criterion #2: norm(du)/norm(u)
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75 | if ~isnan(reltol)
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76 | duf = Duplicate(old_uf); VecCopy!(old_uf,duf); AXPY!(duf, -1.0, uf)
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77 | ndu = Norm(duf, 2); nu = Norm(old_uf, 2)
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78 | if ~isfinite(ndu) | ~isfinite(nu)
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79 | error("convergence criterion is not finite!")
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80 | end
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81 | if((ndu/nu)<reltol)
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82 | print(" Convergence criterion: norm(du)/norm(u) ", ndu/nu*100, " < ", reltol*100, " %\n")
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83 | else
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84 | print(" Convergence criterion: norm(du)/norm(u) ", ndu/nu*100, " > ", reltol*100, " %\n")
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85 | converged=false;
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86 | end
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87 | end
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88 |
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89 | #Convergence criterion #3: max(du)
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90 | if ~isnan(abstol)
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91 | duf = Duplicate(old_uf); VecCopy!(old_uf,duf); AXPY!(duf, -1.0, uf)
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92 | nduinf= Norm(duf, 3)
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93 | if ~isfinite(nduinf)
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94 | error("convergence criterion is not finite!")
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95 | end
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96 | if(nduinf<abstol)
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97 | print(" Convergence criterion: max(du) ", nduinf, " < ", abstol, "\n")
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98 | else
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99 | print(" Convergence criterion: max(du) ", nduinf, " > ", abstol, "\n")
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100 | converged=false;
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101 | end
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102 | end
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103 |
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104 | return converged
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105 |
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106 | end#}}}
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