iam-git / WellMet (public) (License: MIT) (since 2021-08-31) (hash sha1)
WellMet is pure Python framework for spatial structural reliability analysis. Or, more specifically, for "failure probability estimation and detection of failure surfaces by adaptive sequential decomposition of the design domain".
Clone URLs: https://rocketgit.com/user/iam-git/WellMet ssh://rocketgit@ssh.rocketgit.com/user/iam-git/WellMet git://git.rocketgit.com/user/iam-git/WellMet
release trunk
List of commits:
Subject Hash Author Date (UTC)
whitebox: simplify Bessel solutions d097f681f9c96d7f8c6e0c044479681bae110e98 I am 2022-05-08 03:33:44
reorganize the repo 5226fda5d5cba79b6d3471540a4a5f47109d0061 I am 2022-04-30 17:11:21
remore user stuff from the repo ffd15c3d866496bccc5358797d71f2783118235c I am 2022-04-30 16:49:03
dicebox.Goal.get_pf_estimation: fix global stats 423b68cea2d15fce8cf4a157de0160bf26987088 I am 2022-04-21 12:38:48
ghull.Shell_1DS: use geomspace placing if r is large enough. Asi funguje ac4735a382524b05a76e258d774b0e5c0bfd0ec4 I am 2022-04-21 12:37:04
testcases.testcases_2D: add beta_circle_2D case f59387e9981217fde69ba4d87a05ca4017fb5159 I am 2022-04-21 11:40:17
mplot.mart: make isodensities more reliable e18d78f623ef5893a9ecf9cb7e6309de7df7352c I am 2022-04-13 06:18:50
misc: add get_isodistances() function ee82e4a69e51c6fa6a19e1715f71173907f9c4af I am 2022-04-13 06:16:05
testcases.testcases_2D: add natafm_plane_2D case 65f6f76b97f340123083369a9f705673e9e6eb30 I am 2022-04-12 21:38:36
qt_gui.qt_dicebox: add Razitko box tab, simplify setup widget e502adfa6458c63f18b81410c0a923aeee610641 I am 2022-04-11 05:41:07
dicebox: backport assess_candidates() to Chrt 62628b5b5f0f2da1f37c504175e4b7678ff94e8e I am 2022-04-11 05:39:40
dicebox.Goal: add chee and chee2 potentials 1b7e1af9932a9761652b57f2445daa7612f8f09e I am 2022-04-11 00:34:30
ghull.Ghull: fix NaN in get_r() method 654d4d32ebf8d14f88bc78dbee27567e9aa9564e I am 2022-04-10 16:06:24
estimation: nahradit zastaralou hlavičku 00b7aa07abc3072261da2cc7ba775d5228eefdf7 I am 2022-04-04 03:34:36
testcases.testcases_2D: add more nataf ceses ff4873afb1722500e3faed3c7a7f2552496b6e08 I am 2022-04-02 18:48:42
dicebox.Goal._handle_candidates: trigger cache update 80d401d5c4aaab0894d92e6df5390aff12738880 I am 2022-03-30 22:11:24
mplot.mfigs: add G_U_distortion plot 6ed034375dfd042706a91a368c9483270095e75c I am 2022-03-20 14:42:50
mplot.mart: add number_points function dab89bdb9e5190600aa394c9b65cfa24d162be0e I am 2022-03-20 14:42:23
testcases:testcases_nD: add hyperplane_pf3 87176287101b0a15a86c7999ba9626674400d225 I am 2022-03-20 14:41:26
testcases:gaussian_2D: add pf estimation for sinshilds case 889b5aebae164ea3fb1f9375ae58d1afa4687696 I am 2022-03-17 20:42:13
Commit d097f681f9c96d7f8c6e0c044479681bae110e98 - whitebox: simplify Bessel solutions
Author: I am
Author date (UTC): 2022-05-08 03:33
Committer name: I am
Committer date (UTC): 2022-05-08 03:33
Parent(s): 5226fda5d5cba79b6d3471540a4a5f47109d0061
Signer:
Signing key:
Signing status: N
Tree: 7155268fd907986614ac902ac9aa59e4929290af
File Lines added Lines deleted
wellmet/whitebox.py 2 2
File wellmet/whitebox.py changed (mode: 100644) (index fcdabd8..e4d83e5)
... ... class Gaussian_Z_prod_2D(WhiteBox):
344 344 StruveL1 = special.modstruve(1, const) StruveL1 = special.modstruve(1, const)
345 345 BesselK0 = special.kn(0, const) BesselK0 = special.kn(0, const)
346 346 BesselK1 = special.kn(1, const) BesselK1 = special.kn(1, const)
347 self.pf_exact = const/2 * (1/const - (StruveL1 * BesselK0 + StruveL0 * BesselK1 + 2/np.pi * BesselK0))
347 self.pf_exact = 0.5 - const/2 * (StruveL1 * BesselK0 + StruveL0 * BesselK1 + 2/np.pi * BesselK0)
348 348 self.pf_exact_method = 'exact (Bessel) solution' self.pf_exact_method = 'exact (Bessel) solution'
349 349
350 350
 
... ... class Gaussian_ProdFourBetas_2D(WhiteBox):
380 380 StruveL1 = special.modstruve(1, const) StruveL1 = special.modstruve(1, const)
381 381 BesselK0 = special.kn(0, const) BesselK0 = special.kn(0, const)
382 382 BesselK1 = special.kn(1, const) BesselK1 = special.kn(1, const)
383 self.pf_exact = const * (1/const - (StruveL1 * BesselK0 + StruveL0 * BesselK1 + 2/np.pi * BesselK0))
383 self.pf_exact = 1 - const * (StruveL1 * BesselK0 + StruveL0 * BesselK1 + 2/np.pi * BesselK0)
384 384 self.pf_exact_method = 'exact (Bessel) solution' self.pf_exact_method = 'exact (Bessel) solution'
385 385
386 386
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