Dear Sir or Madam, I am writing to inquire about the frequently NaN check error in the "inc_cylinder_2d".
As a newbie of PyFR, I used to try to change the Reynold number of the
example by editing the "Uin".
The default Reynolds number was 125 and the NaN check errors occurred
only when the Reynolds number up to 140(Re=140, Uin=1.12 is fine without
error).
The error is like this:
"RuntimeError: NaNs detected at t = 0.4399999999999995";
When decreasing the nsteps of "nancheck" to 1, the error became this:
"RuntimeError: NaNs detected at t = 0.1584".
The previous mailing list encourage me about the section
"shock-capturing" which may not suitable for the situation (Re=141~150).
I was wondering if PyFR's cylinder example is suitable for Re>140 cases
in normal working condition or maybe need some improvement on my
configuration file?
Regards,
Lin
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inc_cylinder_2d_Re.ini
Description: application/wine-extension-ini
n,t,i,p,u,v 1,0.0,1,-,-,- 2,0.0,2,-,-,- 3,0.0,3,1.5187254140630728,0.08012817001718232,0.043579240398233784 4,0.0088,1,-,-,- 5,0.0088,2,-,-,- 6,0.0088,3,0.8799478832840072,0.06037619466316972,0.041266415704533606 7,0.0176,1,-,-,- 8,0.0176,2,-,-,- 9,0.0176,3,0.7042711966664239,0.13324298802710907,0.19308938727514205 10,0.0264,1,-,-,- 11,0.0264,2,-,-,- 12,0.0264,3,1.2106769474420693,0.3822349363535608,0.35800482641896036 13,0.0352,1,-,-,- 14,0.0352,2,-,-,- 15,0.0352,3,1.3044992071910626,0.4186250695055689,0.40942279271299287 16,0.044000000000000004,1,-,-,- 17,0.044000000000000004,2,-,-,- 18,0.044000000000000004,3,1.3532390371779142,0.45701885291526706,0.49471493425794966 19,0.05280000000000001,1,-,-,- 20,0.05280000000000001,2,-,-,- 21,0.05280000000000001,3,1.4929119755443168,0.560932614704817,0.5686274708923241 22,0.06160000000000001,1,-,-,- 23,0.06160000000000001,2,-,-,- 24,0.06160000000000001,3,1.670887053592353,0.743534939361601,0.653739112739845 25,0.0704,1,-,-,- 26,0.0704,2,-,-,- 27,0.0704,3,1.8321630154497084,0.9655871901621914,0.7312337964491933 28,0.0792,1,-,-,- 29,0.0792,2,-,-,- 30,0.0792,3,1.9667833560214332,1.1860320275615532,0.776761706849039 31,0.08800000000000001,1,-,-,- 32,0.08800000000000001,2,-,-,- 33,0.08800000000000001,3,2.0879594158414063,1.3800581500947,0.8104441359989594 34,0.09680000000000001,1,-,-,- 35,0.09680000000000001,2,-,-,- 36,0.09680000000000001,3,2.2111361078086555,1.5460796109330157,0.845256403885921 37,0.10560000000000001,1,-,-,- 38,0.10560000000000001,2,-,-,- 39,0.10560000000000001,3,2.356900445699647,1.6995301364157451,0.9027118149330624 40,0.11440000000000002,1,-,-,- 41,0.11440000000000002,2,-,-,- 42,0.11440000000000002,3,2.545443124970485,1.8430660542151718,1.0064820075827354 43,0.12320000000000002,1,-,-,- 44,0.12320000000000002,2,-,-,- 45,0.12320000000000002,3,2.7091897894616763,1.946558553733917,1.070958892430844 46,0.132,1,-,-,- 47,0.132,2,-,-,- 48,0.132,3,2.833406125001208,2.0039198271519587,1.123620875448834 49,0.1408,1,-,-,- 50,0.1408,2,-,-,- 51,0.1408,3,3.2829167451031194,2.2051808093184873,1.4258598096281325
