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class=FieldMonteCarloAnalysis name=mcAnalysis1 physicalModel=PhysicalModel_1 interestVariables=[z,z2] maximumCalls=30 maximumCoefficientOfVariation=0.01 maximumElapsedTime=60 seed=0 blockSize=1 Karhunen-Loeve threshold=1e-05 quantile level=0.05
result= class=FieldMonteCarloResult name=Unnamed processSample_=class=ProcessSampleImplementation mesh=class=Mesh name=Unnamed dimension=1 vertices=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=1 description=[t] data=[[0],[0.631579],[1.26316],[1.89474],[2.52632],[3.15789],[3.78947],[4.42105],[5.05263],[5.68421],[6.31579],[6.94737],[7.57895],[8.21053],[8.84211],[9.47368],[10.1053],[10.7368],[11.3684],[12]] simplices=[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[6,7],[7,8],[8,9],[9,10],[10,11],[11,12],[12,13],[13,14],[14,15],[15,16],[16,17],[17,18],[18,19]] values=[class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[131.494,262.988],[164.89,329.78],[187.54,375.079],[201.784,403.568],[209.455,418.911],[211.986,423.971],[210.495,420.99],[205.86,411.72],[198.766,397.531],[189.748,379.496],[179.226,358.452],[167.528,335.055],[154.909,309.818],[141.571,283.142],[127.67,255.34],[113.329,226.658],[98.644,197.288],[83.6895,167.379],[68.5245,137.049],[53.1948,106.39]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[146.034,292.068],[177.347,354.694],[202.03,404.06],[220.698,441.395],[233.907,467.813],[242.163,484.326],[245.926,491.851],[245.611,491.221],[241.596,483.192],[234.224,468.449],[223.807,447.613],[210.625,421.25],[194.936,389.872],[176.971,353.943],[156.942,313.884],[135.04,270.079],[111.437,222.875],[86.2927,172.585],[59.7487,119.497],[31.9348,63.8697]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[118.688,237.377],[153.248,306.496],[177.915,355.829],[194.506,389.012],[204.507,409.014],[209.128,418.256],[209.359,418.718],[206.006,412.011],[199.727,399.455],[191.062,382.124],[180.447,360.895],[168.243,336.485],[154.74,309.479],[140.177,280.354],[124.749,249.499],[108.616,217.232],[91.9064,183.813],[74.7266,149.453],[57.163,114.326],[39.2861,78.5722]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[134.229,268.457],[173.815,347.63],[208.214,416.429],[237.602,475.205],[262.148,524.297],[282.017,564.034],[297.366,594.732],[308.348,616.697],[315.113,630.225],[317.801,635.603],[316.553,633.105],[311.5,622.999],[302.771,605.542],[290.492,580.984],[274.782,549.564],[255.758,511.515],[233.531,467.062],[208.211,416.421],[179.901,359.803],[148.704,297.408]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[104.289,208.578],[138.509,277.017],[165.615,331.231],[186.316,372.632],[201.247,402.493],[210.979,421.959],[216.03,432.061],[216.865,433.729],[213.9,427.801],[207.515,415.03],[198.048,396.096],[185.805,371.61],[171.062,342.123],[154.067,308.133],[135.043,270.086],[114.192,228.384],[91.6952,183.39],[67.7161,135.432],[42.4018,84.8035],[15.8847,31.7694]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[149.092,298.184],[182.074,364.148],[206.614,413.228],[223.947,447.894],[235.126,470.252],[241.051,482.102],[242.49,484.98],[240.099,480.198],[234.438,468.877],[225.986,451.971],[215.149,430.299],[202.278,404.556],[187.669,375.338],[171.576,343.152],[154.217,308.434],[135.776,271.552],[116.412,232.824],[96.2595,192.519],[75.434,150.868],[54.0338,108.068]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[124.489,248.977],[153.782,307.564],[174.912,349.824],[189.149,378.299],[197.569,395.138],[201.077,402.154],[200.439,400.878],[196.301,392.601],[189.207,378.415],[179.62,359.239],[167.926,335.852],[154.455,308.91],[139.483,278.966],[123.244,246.488],[105.936,211.871],[87.7244,175.449],[68.751,137.502],[49.1342,98.2684],[28.9742,57.9484],[8.35566,16.7113]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[148.949,297.898],[183.437,366.874],[213.405,426.809],[238.937,477.874],[260.116,520.232],[277.024,554.047],[289.739,579.478],[298.341,596.682],[302.906,605.811],[303.509,607.017],[300.224,600.448],[293.124,586.248],[282.28,564.56],[267.762,535.524],[249.638,499.276],[227.976,455.952],[202.842,405.683],[174.3,348.6],[142.414,284.828],[107.247,214.493]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[111.243,222.487],[137.184,274.369],[156.811,313.623],[170.758,341.515],[179.592,359.185],[183.828,367.656],[183.925,367.851],[180.3,360.599],[173.324,346.647],[163.333,326.667],[150.631,301.262],[135.488,270.976],[118.15,236.3],[98.8357,197.671],[77.7441,155.488],[55.053,110.106],[30.9229,61.8459],[5.49797,10.9959],[0,0],[0,0]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[134.8,269.599],[167.638,335.275],[192.898,385.796],[211.482,422.963],[224.181,448.363],[231.696,463.393],[234.643,469.285],[233.563,467.127],[228.936,457.873],[221.183,442.367],[210.676,421.351],[197.741,395.482],[182.667,365.334],[165.709,331.417],[147.089,294.178],[127.006,254.013],[105.634,211.268],[83.1249,166.25],[59.6147,119.229],[35.222,70.444]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[145.676,291.353],[179.291,358.581],[203.272,406.544],[219.364,438.728],[228.996,457.992],[233.337,466.673],[233.344,466.688],[229.803,459.607],[223.357,446.713],[214.53,429.06],[203.754,407.508],[191.382,382.764],[177.703,355.406],[162.954,325.907],[147.327,294.655],[130.983,261.967],[114.051,228.102],[96.6376,193.275],[78.8296,157.659],[60.6987,121.397]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[121.754,243.508],[150.642,301.284],[171.827,343.653],[186.394,372.788],[195.277,390.555],[199.278,398.556],[199.084,398.169],[195.288,390.575],[188.396,376.792],[178.846,357.691],[167.011,334.023],[153.216,306.431],[137.735,275.469],[120.806,241.612],[102.634,205.267],[83.3934,166.787],[63.2355,126.471],[42.2894,84.5789],[20.6663,41.3326],[0,0]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[108.461,216.922],[146.853,293.706],[176.223,352.445],[197.837,395.674],[212.785,425.57],[222.002,444.004],[226.294,452.588],[226.351,452.703],[222.769,445.539],[216.059,432.118],[206.659,413.318],[194.948,389.896],[181.25,362.499],[165.843,331.687],[148.969,297.938],[130.832,261.665],[111.611,223.222],[91.4574,182.915],[70.5021,141.004],[48.8578,97.7156]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[141.009,282.018],[171.255,342.509],[193.826,387.652],[209.746,419.491],[219.899,439.798],[225.054,450.107],[225.876,451.751],[222.942,445.884],[216.752,433.505],[207.741,415.481],[196.282,392.565],[182.704,365.408],[167.287,334.574],[150.277,300.554],[131.885,263.771],[112.297,224.593],[91.6699,183.34],[70.1437,140.287],[47.8375,95.6751],[24.8554,49.7108]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[130.108,260.216],[163.904,327.808],[191.072,382.144],[212.177,424.354],[227.737,455.473],[238.225,476.449],[244.074,488.147],[245.68,491.359],[243.405,486.81],[237.581,475.162],[228.511,457.021],[216.471,432.941],[201.715,403.43],[184.475,368.95],[164.963,329.926],[143.373,286.746],[119.882,239.765],[94.6531,189.306],[67.8339,135.668],[39.5603,79.1207]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[121.006,242.013],[146.045,292.091],[162.547,325.094],[172.227,344.455],[176.457,352.914],[176.331,352.663],[172.726,345.452],[166.339,332.679],[157.731,315.463],[147.348,294.696],[135.546,271.092],[122.611,245.221],[108.769,217.539],[94.2046,188.409],[79.0616,158.123],[63.4565,126.913],[47.4822,94.9644],[31.2129,62.4258],[14.7079,29.4159],[0,0]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[125.881,251.763],[152.973,305.945],[173.699,347.399],[188.683,377.367],[198.485,396.97],[203.611,407.222],[204.517,409.034],[201.616,403.233],[195.28,390.56],[185.844,371.687],[173.61,347.22],[158.852,317.705],[141.817,283.634],[122.727,245.453],[101.782,203.564],[79.1635,158.327],[55.0354,110.071],[29.5448,59.0895],[2.8247,5.64941],[0,0]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[145.586,291.172],[182.734,365.468],[214.832,429.663],[242.042,484.084],[264.523,529.046],[282.428,564.855],[295.904,591.808],[305.095,610.19],[310.139,620.279],[311.171,622.342],[308.32,616.64],[301.712,603.423],[291.467,582.934],[277.705,555.409],[260.537,521.075],[240.076,480.151],[216.426,432.852],[189.691,379.382],[159.971,319.943],[127.363,254.726]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[141.203,282.406],[171.786,343.571],[193.088,386.175],[206.853,413.706],[214.499,428.997],[217.175,434.349],[215.815,431.63],[211.178,422.356],[203.88,407.76],[194.421,388.843],[183.208,366.416],[170.569,341.138],[156.773,313.547],[142.038,284.076],[126.54,253.079],[110.421,220.843],[93.8002,187.6],[76.7704,153.541],[59.4088,118.818],[41.7777,83.5554]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[114.297,228.594],[149.648,299.296],[179.597,359.194],[204.385,408.769],[224.242,448.483],[239.388,478.775],[250.033,500.065],[256.378,512.756],[258.615,517.229],[256.927,513.853],[251.489,502.977],[242.468,484.936],[230.025,460.049],[214.311,428.622],[195.473,390.947],[173.651,347.301],[148.976,297.952],[121.577,243.155],[91.5753,183.151],[59.0865,118.173]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[147.823,295.646],[179.269,358.539],[200.906,401.813],[214.701,429.401],[222.223,444.447],[224.732,449.464],[223.232,446.464],[218.526,437.051],[211.257,422.513],[201.938,403.876],[190.981,381.961],[178.713,357.426],[165.398,330.796],[151.245,302.491],[136.423,272.846],[121.065,242.13],[105.279,210.558],[89.1504,178.301],[72.7482,145.496],[56.1271,112.254]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[105.075,210.15],[128.551,257.102],[143.886,287.773],[152.686,305.371],[156.237,312.475],[155.575,311.151],[151.531,303.061],[144.77,289.539],[135.828,271.656],[125.135,250.271],[113.037,226.074],[99.8096,199.619],[85.6761,171.352],[70.8149,141.63],[55.3696,110.739],[39.4552,78.9103],[23.1641,46.3283],[6.57072,13.1414],[0,0],[0,0]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[105.81,211.621],[131.726,263.453],[150.524,301.047],[163.156,326.313],[170.451,340.902],[173.123,346.247],[171.793,343.586],[166.996,333.992],[159.198,318.396],[148.801,297.601],[136.153,272.305],[121.555,243.111],[105.271,210.541],[87.5243,175.049],[68.5124,137.025],[48.4046,96.8093],[27.3479,54.6957],[5.46933,10.9387],[0,0],[0,0]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[107.12,214.24],[132.595,265.189],[151.387,302.774],[164.285,328.571],[171.985,343.97],[175.099,350.197],[174.168,348.335],[169.669,339.338],[162.023,324.046],[151.602,303.204],[138.732,277.464],[123.703,247.406],[106.769,213.538],[88.1547,176.309],[68.0586,136.117],[46.6552,93.3105],[24.0989,48.1979],[0.525652,1.0513],[0,0],[0,0]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[144.241,288.483],[171.419,342.838],[190.581,381.161],[203.034,406.067],[209.872,419.743],[212.01,424.02],[210.215,420.43],[205.128,410.256],[197.286,394.572],[187.138,374.275],[175.059,350.118],[161.365,322.731],[146.32,292.639],[130.142,260.284],[113.018,226.035],[95.1004,190.201],[76.5197,153.039],[57.3838,114.768],[37.7831,75.5663],[17.7935,35.5869]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[117.56,235.12],[157.055,314.11],[192.551,385.101],[224.055,448.11],[251.578,503.156],[275.128,550.257],[294.716,589.432],[310.349,620.698],[322.038,644.075],[329.79,659.581],[333.617,667.233],[333.526,667.051],[329.526,659.052],[321.627,643.254],[309.838,619.676],[294.167,588.335],[274.625,549.249],[251.219,502.437],[223.958,447.916],[192.852,385.705]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[127.877,255.754],[173.918,347.836],[214.342,428.685],[249.368,498.735],[279.202,558.404],[304.047,608.094],[324.094,648.188],[339.53,679.059],[350.532,701.063],[357.271,714.543],[359.914,719.827],[358.617,717.234],[353.533,707.066],[344.809,689.618],[332.585,665.169],[316.996,633.992],[298.173,596.345],[276.24,552.48],[251.318,502.635],[223.522,447.043]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[118.935,237.87],[145.322,290.643],[163.936,327.873],[176.01,352.019],[182.577,365.154],[184.511,369.021],[182.543,365.087],[177.293,354.586],[169.279,338.559],[158.94,317.88],[146.643,293.286],[132.698,265.396],[117.367,234.733],[100.868,201.735],[83.3863,166.773],[65.0779,130.156],[46.0736,92.1471],[26.4833,52.9667],[6.4,12.8],[0,0]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[122.144,244.288],[157.912,315.824],[186.06,372.121],[207.426,414.851],[222.752,445.504],[232.702,465.404],[237.866,475.732],[238.769,477.538],[235.879,471.758],[229.612,459.223],[220.338,440.675],[208.387,416.775],[194.054,388.108],[177.599,355.199],[159.256,318.513],[139.232,278.464],[117.711,235.421],[94.8569,189.714],[70.8168,141.634],[45.7205,91.4411]],class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[140.75,281.5],[178.632,357.265],[210.491,420.982],[236.68,473.361],[257.533,515.067],[273.364,546.727],[284.467,568.933],[291.12,582.24],[293.585,587.17],[292.108,584.217],[286.922,573.843],[278.243,556.485],[266.277,532.554],[251.218,502.435],[233.246,466.493],[212.535,425.069],[189.243,378.486],[163.524,327.048],[135.519,271.039],[105.364,210.728]]] meanSample_=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 description=[z,z2] data=[[127.854,255.708],[160.115,320.23],[185.02,370.04],[203.543,407.086],[216.505,433.011],[224.602,449.204],[228.423,456.847],[228.47,456.941],[225.171,450.343],[218.893,437.786],[209.949,419.898],[198.611,397.222],[185.113,370.226],[169.658,339.316],[152.423,304.845],[133.56,267.12],[113.206,226.412],[91.4784,182.957],[70.8959,141.792],[51.248,102.496]] lowerQuantileSample_=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 data=[[105.075,210.15],[131.726,263.453],[150.524,301.047],[163.156,326.313],[170.451,340.902],[173.123,346.247],[171.793,343.586],[166.339,332.679],[157.731,315.463],[147.348,294.696],[135.546,271.092],[121.555,243.111],[105.271,210.541],[87.5243,175.049],[68.0586,136.117],[46.6552,93.3105],[24.0989,48.1979],[5.46933,10.9387],[0,0],[0,0]] upperQuantileSample_=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 data=[[148.949,297.898],[182.734,365.468],[214.342,428.685],[242.042,484.084],[264.523,529.046],[282.428,564.855],[297.366,594.732],[310.349,620.698],[322.038,644.075],[329.79,659.581],[333.617,667.233],[333.526,667.051],[329.526,659.052],[321.627,643.254],[309.838,619.676],[294.167,588.335],[274.625,549.249],[251.219,502.437],[223.958,447.916],[192.852,385.705]] xiSamples_=[ [ Xi_0 Xi_1 Xi_2 Xi_3 Xi_4 Xi_5 ]
0 : [ -0.326937 -0.322372 1.85012 0.138747 -0.631833 -0.250679 ]
1 : [ 0.12147 1.74002 -0.571592 0.0796062 0.400145 0.587704 ]
2 : [ -0.386804 -0.501243 0.729586 0.303706 -1.57026 -0.238589 ]
3 : [ 1.7102 -0.249018 -0.194263 -0.32455 0.297062 -0.0536498 ]
4 : [ -0.292678 -0.498703 -1.64515 1.20084 -1.61691 0.352298 ]
5 : [ 0.112309 1.40271 0.904467 -0.734573 -0.252131 0.0032646 ]
6 : [ -0.662706 -0.0132655 0.0743332 1.06383 -0.249488 0.535151 ]
7 : [ 1.36639 0.961926 -0.679998 0.540111 1.96297 0.684927 ]
8 : [ -1.06995 -0.402371 -1.15974 -2.3255 0.727296 0.540177 ]
9 : [ -0.0336047 0.945446 -0.247022 0.0175046 -0.555186 0.254869 ]
10 : [ 0.0047082 0.851751 1.59644 -0.686379 -0.468509 -0.228727 ]
11 : [ -0.717373 0.0347051 -0.399069 1.16447 -0.210917 0.352007 ]
12 : [ -0.0491119 -0.526282 -0.377789 -0.0706927 -2.7547 -0.471998 ]
13 : [ -0.241903 1.12011 0.150139 0.2113 0.108924 0.466292 ]
14 : [ 0.194436 0.848733 -1.03308 0.32631 -0.460043 0.393307 ]
15 : [ -1.09051 -1.0158 0.876104 1.93929 0.917835 0.490341 ]
16 : [ -0.719407 0.682523 -1.28829 -0.314383 1.14787 -4.15003 ]
17 : [ 1.53617 0.67779 -0.304234 -0.220183 1.02783 0.245329 ]
18 : [ -0.322697 0.428189 1.4762 0.121314 0.127535 0.154129 ]
19 : [ 0.542896 -0.353451 -1.83646 1.31443 -0.210234 0.56032 ]
20 : [ -0.162443 0.630286 2.01268 -0.286901 0.22645 -0.0281051 ]
21 : [ -1.45555 -2.08353 0.650511 0.371163 1.04099 0.0258852 ]
22 : [ -1.22274 -1.09976 -0.554925 -1.47322 0.335921 0.327466 ]
23 : [ -1.21527 -0.899612 -0.762498 -2.36753 0.494416 1.68066 ]
24 : [ -0.519539 0.825407 0.861112 0.630093 0.899236 0.681004 ]
25 : [ 2.09181 -2.5344 0.193217 0.917944 1.18878 0.11818 ]
26 : [ 2.52658 -1.38452 0.821294 -1.61318 -0.926954 -0.943395 ]
27 : [ -1.00788 -0.483269 -0.0413516 0.701275 0.612366 -2.08862 ]
28 : [ 0.112904 0.31865 -0.671843 0.01519 -1.46799 -0.00178643 ]
29 : [ 1.17723 0.899351 -0.428898 -0.640026 -0.140481 0.00226795 ], [ Xi_0 Xi_1 Xi_2 Xi_3 Xi_4 Xi_5 ]
0 : [ -0.326937 -0.322372 1.85012 0.138747 -0.631833 -0.250679 ]
1 : [ 0.12147 1.74002 -0.571592 0.0796062 0.400145 0.587704 ]
2 : [ -0.386804 -0.501243 0.729586 0.303706 -1.57026 -0.238589 ]
3 : [ 1.7102 -0.249018 -0.194263 -0.32455 0.297062 -0.0536498 ]
4 : [ -0.292678 -0.498703 -1.64515 1.20084 -1.61691 0.352298 ]
5 : [ 0.112309 1.40271 0.904467 -0.734573 -0.252131 0.0032646 ]
6 : [ -0.662706 -0.0132655 0.0743332 1.06383 -0.249488 0.535151 ]
7 : [ 1.36639 0.961926 -0.679998 0.540111 1.96297 0.684927 ]
8 : [ -1.06995 -0.402371 -1.15974 -2.3255 0.727296 0.540177 ]
9 : [ -0.0336047 0.945446 -0.247022 0.0175046 -0.555186 0.254869 ]
10 : [ 0.0047082 0.851751 1.59644 -0.686379 -0.468509 -0.228727 ]
11 : [ -0.717373 0.0347051 -0.399069 1.16447 -0.210917 0.352007 ]
12 : [ -0.0491119 -0.526282 -0.377789 -0.0706927 -2.7547 -0.471998 ]
13 : [ -0.241903 1.12011 0.150139 0.2113 0.108924 0.466292 ]
14 : [ 0.194436 0.848733 -1.03308 0.32631 -0.460043 0.393307 ]
15 : [ -1.09051 -1.0158 0.876104 1.93929 0.917835 0.490341 ]
16 : [ -0.719407 0.682523 -1.28829 -0.314383 1.14787 -4.15003 ]
17 : [ 1.53617 0.67779 -0.304234 -0.220183 1.02783 0.245329 ]
18 : [ -0.322697 0.428189 1.4762 0.121314 0.127535 0.154129 ]
19 : [ 0.542896 -0.353451 -1.83646 1.31443 -0.210234 0.56032 ]
20 : [ -0.162443 0.630286 2.01268 -0.286901 0.22645 -0.0281051 ]
21 : [ -1.45555 -2.08353 0.650511 0.371163 1.04099 0.0258852 ]
22 : [ -1.22274 -1.09976 -0.554925 -1.47322 0.335921 0.327466 ]
23 : [ -1.21527 -0.899612 -0.762498 -2.36753 0.494416 1.68066 ]
24 : [ -0.519539 0.825407 0.861112 0.630093 0.899236 0.681004 ]
25 : [ 2.09181 -2.5344 0.193217 0.917944 1.18878 0.11818 ]
26 : [ 2.52658 -1.38452 0.821294 -1.61318 -0.926954 -0.943395 ]
27 : [ -1.00788 -0.483269 -0.0413516 0.701275 0.612366 -2.08862 ]
28 : [ 0.112904 0.31865 -0.671843 0.01519 -1.46799 -0.00178643 ]
29 : [ 1.17723 0.899351 -0.428898 -0.640026 -0.140481 0.00226795 ]] correlationFunction_=[EvaluationImplementation,EvaluationImplementation]
eigen values= [35286.2,551.26,270.795,22.3289,13.0978,1.82423] [141145,2205.04,1083.18,89.3155,52.3911,7.29694]
class=FieldMonteCarloAnalysis name=mcAnalysis2 physicalModel=PhysicalModel_1 interestVariables=[z2] maximumCalls=100 maximumCoefficientOfVariation=0.01 maximumElapsedTime=50 seed=0 blockSize=10 Karhunen-Loeve threshold=1e-05 quantile level=0.05
eigen values= [110985,2982.14,1467.11,162.664,108.997,26.8557,11.3351,4.82782]
True
#!/usr/bin/env python
import openturns as ot
import persalys
Study_0 = persalys.Study('Study_0')
persalys.Study.Add(Study_0)
t = persalys.Variable('t', 0, '')
meshModel = persalys.GridMeshModel([t], ot.Interval([0], [12]), [20])
dist_z0 = ot.Uniform(100, 150)
z0 = persalys.Input('z0', 100, dist_z0, '')
dist_v0 = ot.Normal(55, 10)
v0 = persalys.Input('v0', 55, dist_v0, '')
dist_m = ot.Normal(80, 8)
m = persalys.Input('m', 80, dist_m, '')
dist_c = ot.Uniform(0, 30)
c = persalys.Input('c', 16, dist_c, '')
z = persalys.Output('z', '')
z2 = persalys.Output('z2', 'fake output')
inputs = [z0, v0, m, c]
outputs = [z, z2]
code = 'from math import exp\n\ndef _exec(z0,v0,m,c):\n g = 9.81\n zmin = 0.\n tau = m / c\n vinf = -m * g / c\n\n # mesh nodes\n t = getMesh().getVertices()\n\n z = [max(z0 + vinf * t_i[0] + tau * (v0 - vinf) * (1 - exp(-t_i[0] / tau)), zmin) for t_i in t]\n z2 = [2*max(z0 + vinf * t_i[0] + tau * (v0 - vinf) * (1 - exp(-t_i[0] / tau)), zmin) for t_i in t]\n\n return z, z2'
PhysicalModel_1 = persalys.PythonFieldModel('PhysicalModel_1', meshModel, inputs, outputs, code)
PhysicalModel_1.setParallel(True)
Study_0.add(PhysicalModel_1)
t = persalys.Variable('t', 0, '')
meshModel = persalys.GridMeshModel([t], ot.Interval([0], [12]), [20])
collection = [[[262.988], [329.78], [375.079], [403.568], [418.911], [423.971], [420.99], [411.72], [397.531], [379.496], [358.452], [335.055], [309.818], [283.142], [255.34], [226.658], [197.288], [167.379], [137.049], [106.39]],
[[292.068], [354.694], [404.06], [441.395], [467.813], [484.326], [491.851], [491.221], [483.192], [468.449], [447.613], [421.25], [389.872], [353.943], [313.884], [270.079], [222.875], [172.585], [119.497], [63.8697]],
[[237.377], [306.496], [355.829], [389.012], [409.014], [418.256], [418.718], [412.011], [399.455], [382.124], [360.895], [336.485], [309.479], [280.354], [249.499], [217.232], [183.813], [149.453], [114.326], [78.5722]],
[[268.457], [347.63], [416.429], [475.205], [524.297], [564.034], [594.732], [616.697], [630.225], [635.603], [633.105], [622.999], [605.542], [580.984], [549.564], [511.515], [467.062], [416.421], [359.803], [297.408]],
[[208.578], [277.017], [331.231], [372.632], [402.493], [421.959], [432.061], [433.729], [427.801], [415.03], [396.096], [371.61], [342.123], [308.133], [270.086], [228.384], [183.39], [135.432], [84.8035], [31.7694]],
[[298.184], [364.148], [413.228], [447.894], [470.252], [482.102], [484.98], [480.198], [468.877], [451.971], [430.299], [404.556], [375.338], [343.152], [308.434], [271.552], [232.824], [192.519], [150.868], [108.068]],
[[248.977], [307.564], [349.824], [378.299], [395.138], [402.154], [400.878], [392.601], [378.415], [359.239], [335.852], [308.91], [278.966], [246.488], [211.871], [175.449], [137.502], [98.2684], [57.9484], [16.7113]],
[[297.898], [366.874], [426.809], [477.874], [520.232], [554.047], [579.478], [596.682], [605.811], [607.017], [600.448], [586.248], [564.56], [535.524], [499.276], [455.952], [405.683], [348.6], [284.828], [214.493]],
[[222.487], [274.369], [313.623], [341.515], [359.185], [367.656], [367.851], [360.599], [346.647], [326.667], [301.262], [270.976], [236.3], [197.671], [155.488], [110.106], [61.8459], [10.9959], [0], [0]],
[[269.599], [335.275], [385.796], [422.963], [448.363], [463.393], [469.285], [467.127], [457.873], [442.367], [421.351], [395.482], [365.334], [331.417], [294.178], [254.013], [211.268], [166.25], [119.229], [70.444]],
[[291.353], [358.581], [406.544], [438.728], [457.992], [466.673], [466.688], [459.607], [446.713], [429.06], [407.508], [382.764], [355.406], [325.907], [294.655], [261.967], [228.102], [193.275], [157.659], [121.397]],
[[243.508], [301.284], [343.653], [372.788], [390.555], [398.556], [398.169], [390.575], [376.792], [357.691], [334.023], [306.431], [275.469], [241.612], [205.267], [166.787], [126.471], [84.5789], [41.3326], [0]],
[[216.922], [293.706], [352.445], [395.674], [425.57], [444.004], [452.588], [452.703], [445.539], [432.118], [413.318], [389.896], [362.499], [331.687], [297.938], [261.665], [223.222], [182.915], [141.004], [97.7156]],
[[282.018], [342.509], [387.652], [419.491], [439.798], [450.107], [451.751], [445.884], [433.505], [415.481], [392.565], [365.408], [334.574], [300.554], [263.771], [224.593], [183.34], [140.287], [95.6751], [49.7108]],
[[260.216], [327.808], [382.144], [424.354], [455.473], [476.449], [488.147], [491.359], [486.81], [475.162], [457.021], [432.941], [403.43], [368.95], [329.926], [286.746], [239.765], [189.306], [135.668], [79.1207]],
[[242.013], [292.091], [325.094], [344.455], [352.914], [352.663], [345.452], [332.679], [315.463], [294.696], [271.092], [245.221], [217.539], [188.409], [158.123], [126.913], [94.9644], [62.4258], [29.4159], [0]],
[[251.763], [305.945], [347.399], [377.367], [396.97], [407.222], [409.034], [403.233], [390.56], [371.687], [347.22], [317.705], [283.634], [245.453], [203.564], [158.327], [110.071], [59.0895], [5.64941], [0]],
[[291.172], [365.468], [429.663], [484.084], [529.046], [564.855], [591.808], [610.19], [620.279], [622.342], [616.64], [603.423], [582.934], [555.409], [521.075], [480.151], [432.852], [379.382], [319.943], [254.726]],
[[282.406], [343.571], [386.175], [413.706], [428.997], [434.349], [431.63], [422.356], [407.76], [388.843], [366.416], [341.138], [313.547], [284.076], [253.079], [220.843], [187.6], [153.541], [118.818], [83.5554]],
[[228.594], [299.296], [359.194], [408.769], [448.483], [478.775], [500.065], [512.756], [517.229], [513.853], [502.977], [484.936], [460.049], [428.622], [390.947], [347.301], [297.952], [243.155], [183.151], [118.173]],
[[295.646], [358.539], [401.813], [429.401], [444.447], [449.464], [446.464], [437.051], [422.513], [403.876], [381.961], [357.426], [330.796], [302.491], [272.846], [242.13], [210.558], [178.301], [145.496], [112.254]],
[[210.15], [257.102], [287.773], [305.371], [312.475], [311.151], [303.061], [289.539], [271.656], [250.271], [226.074], [199.619], [171.352], [141.63], [110.739], [78.9103], [46.3283], [13.1414], [0], [0]],
[[211.621], [263.453], [301.047], [326.313], [340.902], [346.247], [343.586], [333.992], [318.396], [297.601], [272.305], [243.111], [210.541], [175.049], [137.025], [96.8093], [54.6957], [10.9387], [0], [0]],
[[214.24], [265.189], [302.774], [328.571], [343.97], [350.197], [348.335], [339.338], [324.046], [303.204], [277.464], [247.406], [213.538], [176.309], [136.117], [93.3105], [48.1979], [1.0513], [0], [0]],
[[288.483], [342.838], [381.161], [406.067], [419.743], [424.02], [420.43], [410.256], [394.572], [374.275], [350.118], [322.731], [292.639], [260.284], [226.035], [190.201], [153.039], [114.768], [75.5663], [35.5869]],
[[235.12], [314.11], [385.101], [448.11], [503.156], [550.257], [589.432], [620.698], [644.075], [659.581], [667.233], [667.051], [659.052], [643.254], [619.676], [588.335], [549.249], [502.437], [447.916], [385.705]],
[[255.754], [347.836], [428.685], [498.735], [558.404], [608.094], [648.188], [679.059], [701.063], [714.543], [719.827], [717.234], [707.066], [689.618], [665.169], [633.992], [596.345], [552.48], [502.635], [447.043]],
[[237.87], [290.643], [327.873], [352.019], [365.154], [369.021], [365.087], [354.586], [338.559], [317.88], [293.286], [265.396], [234.733], [201.735], [166.773], [130.156], [92.1471], [52.9667], [12.8], [0]],
[[244.288], [315.824], [372.121], [414.851], [445.504], [465.404], [475.732], [477.538], [471.758], [459.223], [440.675], [416.775], [388.108], [355.199], [318.513], [278.464], [235.421], [189.714], [141.634], [91.4411]],
[[281.5], [357.265], [420.982], [473.361], [515.067], [546.727], [568.933], [582.24], [587.17], [584.217], [573.843], [556.485], [532.554], [502.435], [466.493], [425.069], [378.486], [327.048], [271.039], [210.728]]]
mesh = meshModel.getMesh()
pSample = ot.ProcessSample(mesh, collection)
dataModel = persalys.DataFieldModel('dataModel', meshModel, pSample)
Study_0.add(dataModel)
mcAnalysis1 = persalys.FieldMonteCarloAnalysis('mcAnalysis1', PhysicalModel_1)
mcAnalysis1.setMaximumCalls(30)
mcAnalysis1.setMaximumElapsedTime(60)
mcAnalysis1.setBlockSize(1)
mcAnalysis1.setSeed(0)
mcAnalysis1.setKarhunenLoeveThreshold(1e-05)
mcAnalysis1.setQuantileLevel(0.05)
Study_0.add(mcAnalysis1)
mcAnalysis2 = persalys.FieldMonteCarloAnalysis('mcAnalysis2', PhysicalModel_1)
interestVariables = ['z2']
mcAnalysis2.setInterestVariables(interestVariables)
mcAnalysis2.setMaximumCalls(100)
mcAnalysis2.setMaximumElapsedTime(50)
mcAnalysis2.setBlockSize(10)
mcAnalysis2.setSeed(0)
mcAnalysis2.setKarhunenLoeveThreshold(1e-05)
mcAnalysis2.setQuantileLevel(0.05)
Study_0.add(mcAnalysis2)
analysis3 = persalys.FieldKarhunenLoeveAnalysis('analysis3', dataModel)
analysis3.setKarhunenLoeveThreshold(1e-05)
analysis3.setQuantileLevel(0.05)
Study_0.add(analysis3)
|
