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".
List of commits:
Subject Hash Author Date (UTC)
testcases: pf_exact fix for suspension 3d case 0f3318cac398c9195e0b21a6f13edc9475156b0d I am 2022-03-02 02:14:55
g_models.CosExp2D: add pf_expression() method 3ebf3098bcff1a73a649059b1539d622d58b7439 I am 2022-02-06 19:38:37
mplot.mfigs.double_diagram(): do not share x axis. User can set up limits itself after all e74145928c028479070af2fe766d55f180828cdf I am 2022-02-06 05:02:59
testcases: add reference solution bounds to the whitebox 3358b3ff7903417f6484a875abb154d3a7c04a06 I am 2022-02-06 05:00:50
mplot: we need more rasterization! 46df5af418dcab84e8e7e7e23724a74e86575806 I am 2022-02-05 02:20:22
testcases: provide more presice pf for vehicle suspension example e2c4bd1c7f2278b4d94b6f7515785528267c18bb I am 2022-02-05 02:18:45
g_models.PassiveSuspensionVehicle: reformulation and clean up 6e0f9ea7b97f12a2554d895be0b2b8a3f39a536d I am 2022-02-04 03:50:03
mplot: add beta diagram 5e346bdd2c5f06a41726e2ff264776dcc60eac19 I am 2022-02-01 04:08:34
mplot.maxes3d: rasterization of risges is absolutely needed 87c3235b8313ade07ca5b4d72b1f8fec339d621d I am 2022-01-31 03:15:31
testcases: add pf_exact for suspension example 9f903986699b97bfc0eb7c8d4bcad78d3e018450 I am 2022-01-30 23:14:42
mplot: polish 3d b78a192b0ce5c4f5f9e3a94e271bcde3f3c03fac I am 2022-01-30 23:14:16
qt_gui.gl_plot: oprašit gl_plotové prvky d4336e94b262d11db3b6a110527689a9ab101a60 Aleksei Gerasimov 2022-01-30 04:00:40
add vehicle suspension problem 1546923576c59fa15e97c082b4a9c39cdadcf690 I am 2022-01-30 10:39:08
mplot: add 3D triangulation plot addec9ba2a5a9cdfbbfea2eaf660847ea814d387 I am 2022-01-30 05:15:22
mplot: oprašit matplotlibové 3D b438c6e10bc36b6f70f54611df6c3988a7959275 I am 2022-01-30 04:28:27
qt_gui.gl_plot: dát dohromady ConvexHull třídu 19f7fc6ebf130d07897dca3496d78e3208ddfa29 Aleksei Gerasimov 2022-01-30 03:03:07
qt_gui.gl_plot: Make 3D working at least for basic box 1d285206abd77b68207fae0a771b3e69b197a5aa Aleksei Gerasimov 2022-01-30 01:15:54
qt_gui: prepare 3D view startup 21648380b72f891cd267ff57e2b9bbbb1dc1d13f I am 2022-01-30 00:24:06
mplot.maxes.convergence_legend(): úpravit jeden index 6345b5d4c70dde76102e105c1accc1ca9b3adb40 I am 2022-01-29 19:12:43
mplot.mgraph.tri_estimation_plot: adjust zorder of lines 6cf6cef6d6e19eb4cb5e8cda24f2bdc75652221d I am 2022-01-28 02:44:50
Commit 0f3318cac398c9195e0b21a6f13edc9475156b0d - testcases: pf_exact fix for suspension 3d case
Author: I am
Author date (UTC): 2022-03-02 02:14
Committer name: I am
Committer date (UTC): 2022-03-02 02:14
Parent(s): 3ebf3098bcff1a73a649059b1539d622d58b7439
Signer:
Signing key:
Signing status: N
Tree: 1978803c25d70f61463a8341950546c06456841b
File Lines added Lines deleted
testcases/testcases_2D_papers.py 4 1
File testcases/testcases_2D_papers.py changed (mode: 100644) (index 182af91..b50d90e)
... ... def passive_vehicle_suspension_3D():
133 133 # first (bottom) design point # first (bottom) design point
134 134 max_failure_1 = 1442.64218624 max_failure_1 = 1442.64218624
135 135 min_success_1 = 1442.64243976 min_success_1 = 1442.64243976
136 DP1 = 1442.642281
136 137 # pf(beta 1) je mezi array([0.00049949, 0.00049954]) # pf(beta 1) je mezi array([0.00049949, 0.00049954])
137 138
138 139 # second (left) design point # second (left) design point
139 140 max_failure_2 = 391.20793653 max_failure_2 = 391.20793653
140 141 min_success_2 = 391.21532796 min_success_2 = 391.21532796
142 DP2 = 391.2123922
141 143 # pf(beta 2) je mezí [2.54542636e-05, 2.55348088e-05] # pf(beta 2) je mezí [2.54542636e-05, 2.55348088e-05]
142 144
143 145 # ještě 3 poruchových bodů on very low K values, however, they do not form simple failure plane, there are success points even lower. # ještě 3 poruchových bodů on very low K values, however, they do not form simple failure plane, there are success points even lower.
 
... ... def passive_vehicle_suspension_3D():
151 153
152 154 wt.pf_lower = 1 - (1 - mpmath.ncdf(max_failure_2, mu=mu1, sigma=s)) \ wt.pf_lower = 1 - (1 - mpmath.ncdf(max_failure_2, mu=mu1, sigma=s)) \
153 155 * (1 - mpmath.ncdf(max_failure_1, mu=mu2, sigma=s)) * (1 - mpmath.ncdf(max_failure_1, mu=mu2, sigma=s))
154 wt.pf_exact = float(wt.pf_upper + wt.pf_lower) / 2
156 wt.pf_exact = float(1 - (1 - mpmath.ncdf(DP2, mu=mu1, sigma=s)) \
157 * (1 - mpmath.ncdf(DP1, mu=mu2, sigma=s)))
155 158 #č 0.000525 je hodně dobrý odhad #č 0.000525 je hodně dobrý odhad
156 159 wt.pf_exact_method = 'FORM-based precise geometry analysis' wt.pf_exact_method = 'FORM-based precise geometry analysis'
157 160
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