[26000] | 1 | #include "./SamplingAnalysis.h" //
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| 2 | #include "../toolkits/toolkits.h"
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| 3 | #include "../classes/classes.h"
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| 4 | #include "../shared/shared.h"
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| 5 | #include "../modules/modules.h"
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| 6 | #include <random>
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| 7 |
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| 8 | #define FINITEELEMENT P1Enum
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| 9 | #define NUMVERTICES 3
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| 10 |
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| 11 | /* Reimplementation of IsFaceOnBoundary with two edges on boundary supported */
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| 12 | bool IsFaceOnBoundary(Element* element)
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| 13 | {
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| 14 |
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| 15 | IssmDouble values[NUMVERTICES];
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| 16 | IssmDouble sum;
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| 17 |
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| 18 | /*Retrieve all inputs and parameters*/
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| 19 | element->GetInputListOnVertices(&values[0],MeshVertexonboundaryEnum);
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| 20 | sum = values[0]+values[1]+values[2];
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| 21 |
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| 22 | _assert_(sum==0. || sum==1. || sum==2. || sum==3.);
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| 23 |
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| 24 | if(sum>1.){
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| 25 | return true;
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| 26 | }
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| 27 | else{
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| 28 | return false;
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| 29 | }
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| 30 | }
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| 31 |
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| 32 | /*Model processing*/
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| 33 | void SamplingAnalysis::CreateConstraints(Constraints* constraints,IoModel* iomodel){/*{{{*/
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| 34 | /*Default, do nothing*/
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| 35 | return;
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| 36 | }/*}}}*/
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| 37 | void SamplingAnalysis::CreateLoads(Loads* loads, IoModel* iomodel){/*{{{*/
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| 38 | /*Default, do nothing*/
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| 39 | return;
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| 40 | }/*}}}*/
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| 41 | void SamplingAnalysis::CreateNodes(Nodes* nodes,IoModel* iomodel,bool isamr){/*{{{*/
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| 42 |
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| 43 | int finiteelement;
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| 44 | finiteelement = FINITEELEMENT;
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| 45 |
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| 46 | /*Check in 2d*/
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| 47 | if(iomodel->domaintype!=Domain2DhorizontalEnum) _error_("Only 2D horizontal domain is implemented.");
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| 48 |
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| 49 | ::CreateNodes(nodes,iomodel,SamplingAnalysisEnum,finiteelement);
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| 50 |
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| 51 | }/*}}}*/
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| 52 | int SamplingAnalysis::DofsPerNode(int** doflist,int domaintype,int approximation){/*{{{*/
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| 53 | return 1;
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| 54 | }/*}}}*/
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| 55 | void SamplingAnalysis::UpdateElements(Elements* elements,Inputs* inputs,IoModel* iomodel,int analysis_counter,int analysis_type){/*{{{*/
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| 56 |
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| 57 | int finiteelement;
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| 58 |
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| 59 | /*Finite element type*/
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| 60 | finiteelement = FINITEELEMENT;
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| 61 |
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| 62 | /*Update elements: */
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| 63 | int counter=0;
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| 64 | for(int i=0;i<iomodel->numberofelements;i++){
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| 65 | if(iomodel->my_elements[i]){
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| 66 | Element* element=(Element*)elements->GetObjectByOffset(counter);
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| 67 | element->Update(inputs,i,iomodel,analysis_counter,analysis_type,finiteelement);
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| 68 | counter++;
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| 69 | }
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| 70 | }
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| 71 |
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| 72 | /*Create inputs: */
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| 73 | iomodel->FetchDataToInput(inputs,elements,"md.mask.ice_levelset",MaskIceLevelsetEnum);
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| 74 | iomodel->FetchDataToInput(inputs,elements,"md.mesh.vertexonboundary",MeshVertexonboundaryEnum);
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| 75 |
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| 76 | iomodel->FetchDataToInput(inputs,elements,"md.sampling.kappa",SamplingKappaEnum);
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| 77 | iomodel->FetchDataToInput(inputs,elements,"md.sampling.beta",SamplingBetaEnum,0.);
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[27035] | 78 | iomodel->FetchDataToInput(inputs,elements,"md.sampling.tau",SamplingTauEnum);
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[26010] | 79 | iomodel->FetchDataToInput(inputs,elements,"md.initialization.sample",SampleEnum,0.);
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[27035] | 80 | iomodel->FetchDataToInput(inputs,elements,"md.initialization.sample",SampleNoiseEnum,0.);
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| 81 | if(iomodel->solution_enum==TransientSolutionEnum) iomodel->FetchDataToInput(inputs,elements,"md.sampling.phi",SamplingPhiEnum,0.);
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[26000] | 82 |
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| 83 | }/*}}}*/
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| 84 | void SamplingAnalysis::UpdateParameters(Parameters* parameters,IoModel* iomodel,int solution_enum,int analysis_enum){/*{{{*/
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| 85 |
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| 86 | int numoutputs;
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| 87 | char** requestedoutputs = NULL;
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| 88 |
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| 89 | parameters->AddObject(iomodel->CopyConstantObject("md.sampling.alpha",SamplingAlphaEnum));
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| 90 | parameters->AddObject(iomodel->CopyConstantObject("md.sampling.robin",SamplingRobinEnum));
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| 91 | parameters->AddObject(iomodel->CopyConstantObject("md.sampling.seed",SamplingSeedEnum));
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| 92 |
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| 93 | iomodel->FindConstant(&requestedoutputs,&numoutputs,"md.sampling.requested_outputs");
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| 94 | parameters->AddObject(new IntParam(SamplingNumRequestedOutputsEnum,numoutputs));
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| 95 | if(numoutputs)parameters->AddObject(new StringArrayParam(SamplingRequestedOutputsEnum,requestedoutputs,numoutputs));
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| 96 | iomodel->DeleteData(&requestedoutputs,numoutputs,"md.sampling.requested_outputs");
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| 97 |
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| 98 | }/*}}}*/
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| 99 |
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| 100 | /*Finite Element Analysis*/
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| 101 | void SamplingAnalysis::Core(FemModel* femmodel){/*{{{*/
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| 102 | _error_("not implemented");
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| 103 | }/*}}}*/
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[26047] | 104 | void SamplingAnalysis::PreCore(FemModel* femmodel){/*{{{*/
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| 105 | _error_("not implemented");
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| 106 | }/*}}}*/
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[26000] | 107 | ElementVector* SamplingAnalysis::CreateDVector(Element* element){/*{{{*/
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| 108 | /*Default, return NULL*/
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| 109 | return NULL;
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| 110 | }/*}}}*/
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| 111 | ElementMatrix* SamplingAnalysis::CreateJacobianMatrix(Element* element){/*{{{*/
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| 112 | _error_("not implemented");
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| 113 | }/*}}}*/
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| 114 | ElementMatrix* SamplingAnalysis::CreateKMatrix(Element* element){/*{{{*/
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| 115 |
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| 116 | /* Check if ice in element */
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| 117 | //if(!element->IsIceInElement()) return NULL; // Ice in element not required for sampling capability
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| 118 |
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| 119 | /*Intermediaries*/
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| 120 | bool robin;
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| 121 | int domaintype;
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| 122 |
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| 123 | /*compute all stiffness matrices for this element*/
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| 124 |
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| 125 | ElementMatrix* Ke = NULL;
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| 126 | element->FindParam(&robin,SamplingRobinEnum);
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| 127 |
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| 128 | if(!robin) Ke=CreateKMatrixModifiedHelmholtz(element);
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| 129 | else{
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| 130 | ElementMatrix* Ke1=CreateKMatrixModifiedHelmholtz(element);
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| 131 | ElementMatrix* Ke2=CreateKMatrixRobinBC(element);
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| 132 | Ke =new ElementMatrix(Ke1,Ke2);
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| 133 |
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| 134 | delete Ke1;
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| 135 | delete Ke2;
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| 136 | }
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| 137 |
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| 138 | /*clean-up and return*/
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| 139 | return Ke;
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| 140 |
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| 141 | }/*}}}*/
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| 142 | ElementMatrix* SamplingAnalysis::CreateKMatrixModifiedHelmholtz(Element* element){/*{{{*/
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| 143 |
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| 144 | /* Check if ice in element */
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| 145 | //if(!element->IsIceInElement()) return NULL;
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| 146 |
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| 147 | /*Intermediaries*/
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| 148 | int dim;
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| 149 | IssmDouble D,Jdet;
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| 150 | IssmDouble* xyz_list = NULL;
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| 151 | IssmDouble kappa;
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| 152 |
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| 153 | /*Get problem dimension*/
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| 154 | dim=2; // Only 2D horizontal domain is implemented so far
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| 155 |
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| 156 | /*Fetch number of nodes and dof for this finite element*/
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| 157 | int numnodes = element->GetNumberOfNodes();
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| 158 |
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| 159 | /*Initialize Element vector and other vectors*/
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| 160 | ElementMatrix* Ke = element->NewElementMatrix();
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| 161 | IssmDouble* basis = xNew<IssmDouble>(numnodes);
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| 162 | IssmDouble* dbasis = xNew<IssmDouble>(dim*numnodes);
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| 163 |
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| 164 | /*Retrieve all inputs and parameters*/
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| 165 | element->GetVerticesCoordinates(&xyz_list);
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[26003] | 166 | Input* kappa_input=element->GetInput(SamplingKappaEnum); _assert_(kappa_input);
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[26000] | 167 |
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| 168 | /* Start looping on the number of gaussian points: */
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| 169 | Gauss* gauss=element->NewGauss(2);
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[26003] | 170 | while(gauss->next()){
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[26000] | 171 |
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| 172 | element->JacobianDeterminant(&Jdet,xyz_list,gauss);
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| 173 | element->NodalFunctions(basis,gauss);
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| 174 | element->NodalFunctionsDerivatives(dbasis,xyz_list,gauss);
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| 175 |
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| 176 | kappa_input->GetInputValue(&kappa,gauss); _assert_(kappa>0);
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| 177 |
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| 178 | D=gauss->weight*Jdet;
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| 179 |
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| 180 | /* Laplacian operator */
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| 181 | for(int i=0;i<numnodes;i++){
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| 182 | for(int j=0;j<numnodes;j++){
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| 183 | Ke->values[i*numnodes+j] += D*(dbasis[0*numnodes+j]*dbasis[0*numnodes+i] + dbasis[1*numnodes+j]*dbasis[1*numnodes+i]);
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| 184 | }
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| 185 | }
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| 186 |
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| 187 | /* Identity identity */
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| 188 | for(int i=0;i<numnodes;i++){
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| 189 | for(int j=0;j<numnodes;j++){
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| 190 | Ke->values[i*numnodes+j] += D*kappa*kappa*(basis[j]*basis[i]);
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| 191 | }
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| 192 | }
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| 193 |
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| 194 | }
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| 195 |
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| 196 | /*Clean up and return*/
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| 197 | xDelete<IssmDouble>(xyz_list);
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| 198 | xDelete<IssmDouble>(basis);
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| 199 | xDelete<IssmDouble>(dbasis);
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| 200 | delete gauss;
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| 201 | return Ke;
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| 202 |
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| 203 | }/*}}}*/
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| 204 | ElementMatrix* SamplingAnalysis::CreateKMatrixRobinBC(Element* element){/*{{{*/
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| 205 |
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| 206 | /* Check if ice in element */
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| 207 | //if(!element->IsIceInElement()) return NULL;
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| 208 |
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| 209 | /*If no boundary, return NULL*/
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| 210 | if(!IsFaceOnBoundary(element)) return NULL;
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| 211 |
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| 212 | /*Intermediaries*/
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| 213 | IssmDouble D,Jdet;
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| 214 | IssmDouble* xyz_list = NULL;
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| 215 | IssmDouble* xyz_list_boundary = NULL;
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| 216 | IssmDouble beta;
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| 217 |
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| 218 | /*Fetch number of nodes and dof for this finite element*/
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| 219 | int numnodes = element->GetNumberOfNodes();
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| 220 |
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| 221 | /*Initialize Element vector and other vectors*/
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| 222 | ElementMatrix* Ke = element->NewElementMatrix();
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| 223 | IssmDouble* basis = xNew<IssmDouble>(numnodes);
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| 224 |
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| 225 | /*Retrieve all inputs and parameters*/
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| 226 | element->GetVerticesCoordinates(&xyz_list);
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| 227 | element->GetLevelCoordinates(&xyz_list_boundary,xyz_list,MeshVertexonboundaryEnum,1.);
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[26003] | 228 | Input* beta_input=element->GetInput(SamplingBetaEnum); _assert_(beta_input);
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[26000] | 229 |
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| 230 | /* Start looping on the number of gaussian points: */
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| 231 | Gauss* gauss=element->NewGauss(xyz_list,xyz_list_boundary,3);
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[26003] | 232 | while(gauss->next()){
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[26000] | 233 |
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| 234 | element->JacobianDeterminantSurface(&Jdet,xyz_list_boundary,gauss);
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| 235 | element->NodalFunctions(basis,gauss);
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| 236 |
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| 237 | beta_input->GetInputValue(&beta,gauss); _assert_(beta>=0);
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| 238 |
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| 239 | D=gauss->weight*Jdet;
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| 240 |
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| 241 | for(int i=0;i<numnodes;i++){
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| 242 | for(int j=0;j<numnodes;j++){
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| 243 | Ke->values[i*numnodes+j] += D*beta*(basis[j]*basis[i]);
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| 244 | }
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| 245 | }
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| 246 |
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| 247 | }
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| 248 |
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| 249 | /*Clean up and return*/
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| 250 | xDelete<IssmDouble>(xyz_list);
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| 251 | xDelete<IssmDouble>(xyz_list_boundary);
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| 252 | xDelete<IssmDouble>(basis);
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| 253 | delete gauss;
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| 254 | return Ke;
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| 255 |
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| 256 | }/*}}}*/
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| 257 | ElementVector* SamplingAnalysis::CreatePVector(Element* element){/*{{{*/
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| 258 | //_error_("not supported");
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| 259 | return NULL;
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| 260 | }/*}}}*/
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| 261 | void SamplingAnalysis::GetSolutionFromInputs(Vector<IssmDouble>* solution,Element* element){/*{{{*/
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| 262 | element->GetSolutionFromInputsOneDof(solution,SampleEnum);
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| 263 | }/*}}}*/
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[26001] | 264 | void SamplingAnalysis::GradientJ(Vector<IssmDouble>* gradient,Element* element,int control_type,int control_interp,int control_index){/*{{{*/
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[26000] | 265 | _error_("not supported");
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| 266 | }/*}}}*/
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| 267 | void SamplingAnalysis::InputUpdateFromSolution(IssmDouble* solution,Element* element){/*{{{*/
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| 268 |
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| 269 | /*Fetch number of nodes and dof for this finite element*/
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| 270 | int numnodes = element->GetNumberOfNodes();
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| 271 |
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| 272 | /*Fetch dof list and allocate solution vector*/
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| 273 | int* doflist=NULL;
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| 274 | element->GetDofListLocal(&doflist,NoneApproximationEnum,GsetEnum);
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| 275 | IssmDouble* newsample = xNew<IssmDouble>(numnodes);
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[27035] | 276 | IssmDouble* tau = xNew<IssmDouble>(numnodes);
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| 277 | element->GetInputListOnNodes(&tau[0],SamplingTauEnum);
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[26000] | 278 |
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| 279 | /*Use the dof list to index into the solution vector: */
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| 280 | for(int i=0;i<numnodes;i++){
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[27035] | 281 | newsample[i]=solution[doflist[i]] / tau[i]; // new
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| 282 |
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[26000] | 283 | /*Check solution*/
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| 284 | if(xIsNan<IssmDouble>(newsample[i])) _error_("NaN found in solution vector");
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| 285 | if(xIsInf<IssmDouble>(newsample[i])) _error_("Inf found in solution vector");
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| 286 | }
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| 287 |
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| 288 | /*Add sample inputs to the tria element: */
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[26003] | 289 | element->AddInput(SampleEnum,newsample,element->GetElementType());
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[26000] | 290 |
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[27232] | 291 | /*Free resources:*/
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[26000] | 292 | xDelete<IssmDouble>(newsample);
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[27035] | 293 | xDelete<IssmDouble>(tau);
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[26000] | 294 | xDelete<int>(doflist);
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| 295 | }/*}}}*/
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| 296 | void SamplingAnalysis::UpdateConstraints(FemModel* femmodel){/*{{{*/
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| 297 | /*Default, do nothing*/
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| 298 | return;
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| 299 | }/*}}}*/
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| 300 |
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| 301 | ElementMatrix* SamplingAnalysis::CreateMassMatrix(Element* element){/*{{{*/
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| 302 |
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| 303 | /* Check if ice in element */
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| 304 | //if(!element->IsIceInElement()) return NULL;
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| 305 |
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| 306 | /*Intermediaries*/
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| 307 | IssmDouble D,Jdet;
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| 308 | IssmDouble* xyz_list = NULL;
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| 309 |
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| 310 | /*Fetch number of nodes and dof for this finite element*/
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| 311 | int numnodes = element->GetNumberOfNodes();
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| 312 |
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| 313 | /*Initialize Element vector and other vectors*/
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| 314 | ElementMatrix* Me = element->NewElementMatrix();
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| 315 | IssmDouble* basis = xNew<IssmDouble>(numnodes);
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| 316 |
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| 317 | /*Retrieve all inputs and parameters*/
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| 318 | element->GetVerticesCoordinates(&xyz_list);
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| 319 |
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| 320 | /* Start looping on the number of gaussian points: */
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| 321 | Gauss* gauss=element->NewGauss(2);
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[26003] | 322 | while(gauss->next()){
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[26000] | 323 |
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| 324 | element->JacobianDeterminant(&Jdet,xyz_list,gauss);
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| 325 | element->NodalFunctions(basis,gauss);
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| 326 |
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| 327 | D=gauss->weight*Jdet;
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| 328 | TripleMultiply(basis,1,numnodes,1,
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| 329 | &D,1,1,0,
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| 330 | basis,1,numnodes,0,
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| 331 | &Me->values[0],1);
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| 332 | }
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| 333 |
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| 334 | /*Clean up and return*/
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| 335 | xDelete<IssmDouble>(xyz_list);
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| 336 | xDelete<IssmDouble>(basis);
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| 337 | delete gauss;
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| 338 | return Me;
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| 339 | }/*}}}*/
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| 340 | void SamplingAnalysis::LumpedKMatrix(Vector<IssmDouble>** pKlff,FemModel* femmodel){/*{{{*/
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| 341 |
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| 342 | /*Initialize Lumped mass matrix (actually we just save its diagonal)*/
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| 343 | int fsize = femmodel->nodes->NumberOfDofs(FsetEnum);
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| 344 | int flocalsize = femmodel->nodes->NumberOfDofsLocal(FsetEnum);
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| 345 | Vector<IssmDouble>* Klff = new Vector<IssmDouble>(flocalsize,fsize);
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| 346 |
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| 347 | /*Create and assemble matrix*/
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| 348 | for(int i=0;i<femmodel->elements->Size();i++){
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| 349 | Element* element = xDynamicCast<Element*>(femmodel->elements->GetObjectByOffset(i));
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| 350 | ElementMatrix* KLe = this->CreateKMatrix(element);
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| 351 | if(KLe){
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| 352 | KLe->Lump();
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| 353 | KLe->AddDiagonalToGlobal(Klff);
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| 354 | }
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| 355 | delete KLe;
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| 356 | }
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| 357 | Klff->Assemble();
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| 358 |
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| 359 | /*Assign output pointer*/
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| 360 | *pKlff=Klff;
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| 361 | }/*}}}*/
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| 362 | void SamplingAnalysis::KMatrix(Matrix<IssmDouble>** pKff,FemModel* femmodel){/*{{{*/
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| 363 |
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| 364 | /*Initialize K matrix*/
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| 365 | Matrix<IssmDouble> *Kff = NULL;
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| 366 | AllocateSystemMatricesx(&Kff,NULL,NULL,NULL,femmodel);
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| 367 |
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| 368 | /*Create and assemble matrix*/
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| 369 | for(int i=0;i<femmodel->elements->Size();i++){
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| 370 | Element* element = xDynamicCast<Element*>(femmodel->elements->GetObjectByOffset(i));
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| 371 | ElementMatrix* Ke = this->CreateKMatrix(element);
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| 372 | if(Ke){
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| 373 | Ke->AddToGlobal(Kff);
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| 374 | }
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| 375 | delete Ke;
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| 376 | }
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| 377 | Kff->Assemble();
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| 378 |
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| 379 | /*Assign output pointer*/
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| 380 | *pKff=Kff;
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| 381 |
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| 382 | }/*}}}*/
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| 383 | void SamplingAnalysis::LumpedMassMatrix(Vector<IssmDouble>** pMlff,FemModel* femmodel){/*{{{*/
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| 384 |
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| 385 | /*Initialize Lumped mass matrix (actually we just save its diagonal)*/
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| 386 | int fsize = femmodel->nodes->NumberOfDofs(FsetEnum);
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| 387 | int flocalsize = femmodel->nodes->NumberOfDofsLocal(FsetEnum);
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| 388 | Vector<IssmDouble>* Mlff = new Vector<IssmDouble>(flocalsize,fsize);
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| 389 |
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| 390 | /*Create and assemble matrix*/
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| 391 | for(int i=0;i<femmodel->elements->Size();i++){
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| 392 | Element* element = xDynamicCast<Element*>(femmodel->elements->GetObjectByOffset(i));
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| 393 | ElementMatrix* MLe = this->CreateMassMatrix(element);
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| 394 | if(MLe){
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| 395 | MLe->Lump();
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| 396 | MLe->AddDiagonalToGlobal(Mlff);
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| 397 | }
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| 398 | delete MLe;
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| 399 | }
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| 400 | Mlff->Assemble();
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| 401 |
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| 402 | /*Assign output pointer*/
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| 403 | *pMlff=Mlff;
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| 404 | }/*}}}*/
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| 405 | void SamplingAnalysis::MassMatrix(Matrix<IssmDouble>** pMff,FemModel* femmodel){/*{{{*/
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| 406 |
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| 407 | /*Initialize Mass matrix*/
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| 408 | Matrix<IssmDouble> *Mff = NULL;
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| 409 | AllocateSystemMatricesx(&Mff,NULL,NULL,NULL,femmodel);
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| 410 |
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| 411 | /*Create and assemble matrix*/
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| 412 | for(int i=0;i<femmodel->elements->Size();i++){
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| 413 | Element* element = xDynamicCast<Element*>(femmodel->elements->GetObjectByOffset(i));
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| 414 | ElementMatrix* MLe = this->CreateMassMatrix(element);
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| 415 | if(MLe){
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| 416 | MLe->AddToGlobal(Mff);
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| 417 | }
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| 418 | delete MLe;
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| 419 | }
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| 420 | Mff->Assemble();
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| 421 |
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| 422 | /*Assign output pointer*/
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| 423 | *pMff=Mff;
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| 424 | }/*}}}*/
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[27035] | 425 | void SamplingAnalysis::UpdateTransientSample(FemModel * femmodel){
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| 426 |
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| 427 | for(int j=0;j<femmodel->elements->Size();j++){
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| 428 | Element* element=(Element*)femmodel->elements->GetObjectByOffset(j);
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| 429 | UpdateTransientSample(element);
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| 430 | }
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| 431 |
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| 432 | }
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| 433 | void SamplingAnalysis::UpdateTransientSample(Element * element){
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| 434 |
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| 435 | /*Intermediaries */
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| 436 | IssmDouble phi, sample, noise;
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| 437 |
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| 438 | /*Fetch number vertices for this element*/
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| 439 | int numvertices = element->GetNumberOfVertices();
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| 440 |
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| 441 | /*Initialize new sample*/
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| 442 | IssmDouble* sample_new = xNew<IssmDouble>(numvertices);
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| 443 |
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| 444 | /*Retrieve all inputs and parameters*/
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| 445 | Input* sample_input=element->GetInput(SampleOldEnum); _assert_(sample_input);
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| 446 | Input* noise_input=element->GetInput(SampleNoiseEnum); _assert_(noise_input);
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| 447 | Input* phi_input=element->GetInput(SamplingPhiEnum); _assert_(phi_input);
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| 448 |
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| 449 | /* Start looping on the number of gaussian points: */
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| 450 | Gauss* gauss=element->NewGauss();
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| 451 | for(int iv=0;iv<numvertices;iv++){
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| 452 | gauss->GaussVertex(iv);
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| 453 |
|
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| 454 | /*Get input values at gauss points*/
|
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| 455 | sample_input->GetInputValue(&sample,gauss);
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| 456 | noise_input->GetInputValue(&noise,gauss);
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| 457 | phi_input->GetInputValue(&phi,gauss);
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| 458 |
|
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| 459 | /*Get new sample*/
|
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| 460 | sample_new[iv] = phi*sample + noise;
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| 461 |
|
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| 462 | }
|
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| 463 |
|
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| 464 | element->AddInput(SampleEnum,sample_new,element->GetElementType());
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| 465 |
|
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| 466 | /*Clean up and return*/
|
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| 467 | xDelete<IssmDouble>(sample_new);
|
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| 468 | delete gauss;
|
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| 469 |
|
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| 470 | }
|
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