tupdate example with radius variance and fix for k_t values - Granular.jl - Julia package for granular dynamics simulation
(HTM) git clone git://src.adamsgaard.dk/Granular.jl
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---
(DIR) commit 6682dda64ebfab3793c6d916f258f5925892df6f
(DIR) parent 7d0e2bdc91d79ebead607db1a46522d9f410e460
(HTM) Author: Anders Damsgaard <andersd@riseup.net>
Date: Wed, 10 May 2017 22:46:25 -0400
update example with radius variance and fix for k_t values
Diffstat:
M examples/nares_strait.jl | 36 ++++++++++++++++++++-----------
1 file changed, 23 insertions(+), 13 deletions(-)
---
(DIR) diff --git a/examples/nares_strait.jl b/examples/nares_strait.jl
t@@ -1,11 +1,11 @@
#!/usr/bin/env julia
import SeaIce
-#sim = SeaIce.createSimulation(id="nares_strait")
-#n = [25, 25, 2]
+sim = SeaIce.createSimulation(id="nares_strait_elast")
+n = [25, 25, 2]
-sim = SeaIce.createSimulation(id="nares_strait_coarse_elast")
-n = [6, 6, 2]
+#sim = SeaIce.createSimulation(id="nares_strait_coarse_elast")
+#n = [6, 6, 2]
# Initialize ocean
Lx = 50.e3
t@@ -17,6 +17,7 @@ sim.ocean.v[:, :, 1, 1] = 1e-8*((sim.ocean.xq - Lx/2.).^2 - Lx^2./4.)
# Initialize confining walls, which are ice floes that are fixed in space
r = minimum(L[1:2]/n[1:2])/2.
+r_min = r/2.
h = 1.
## N-S segments
t@@ -99,7 +100,8 @@ for y in (L[2] - r - noise_amplitude):(-(2.*r + floe_padding)):((L[2] -
continue
end
- SeaIce.addIceFloeCylindrical(sim, [x_, y_], r, h, verbose=false)
+ r_rand = r_min + Base.Random.rand()*(r - r_min)
+ SeaIce.addIceFloeCylindrical(sim, [x_, y_], r_rand, h, verbose=false)
end
iy += 1
end
t@@ -140,27 +142,35 @@ while sim.time < sim.time_total
size(sim.ocean.xh, 2))
# Enable for high mass flux
- SeaIce.addIceFloeCylindrical(sim, [x-r, y-r], r, h, verbose=false,
- contact_stiffness_normal=k_n,
+ r_rand = r_min + Base.Random.rand()*(r - r_min)
+ SeaIce.addIceFloeCylindrical(sim, [x-r, y-r], r_rand, h,
+ verbose=false,
contact_stiffness_normal=k_n,
+ contact_stiffness_tangential=k_t,
contact_viscosity_tangential=gamma_t,
contact_dynamic_friction = mu_d,
rotating=rotating)
- SeaIce.addIceFloeCylindrical(sim, [x+r, y-r], r, h, verbose=false,
- contact_stiffness_normal=k_n,
+ r_rand = r_min + Base.Random.rand()*(r - r_min)
+ SeaIce.addIceFloeCylindrical(sim, [x+r, y-r], r_rand, h,
+ verbose=false,
contact_stiffness_normal=k_n,
+ contact_stiffness_tangential=k_t,
contact_viscosity_tangential=gamma_t,
contact_dynamic_friction = mu_d,
rotating=rotating)
- SeaIce.addIceFloeCylindrical(sim, [x+r, y+r], r, h, verbose=false,
- contact_stiffness_normal=k_n,
+ r_rand = r_min + Base.Random.rand()*(r - r_min)
+ SeaIce.addIceFloeCylindrical(sim, [x+r, y+r], r_rand, h,
+ verbose=false,
contact_stiffness_normal=k_n,
+ contact_stiffness_tangential=k_t,
contact_viscosity_tangential=gamma_t,
contact_dynamic_friction = mu_d,
rotating=rotating)
- SeaIce.addIceFloeCylindrical(sim, [x-r, y+r], r, h, verbose=false,
- contact_stiffness_normal=k_n,
+ r_rand = r_min + Base.Random.rand()*(r - r_min)
+ SeaIce.addIceFloeCylindrical(sim, [x-r, y+r], r_rand, h,
+ verbose=false,
contact_stiffness_normal=k_n,
+ contact_stiffness_tangential=k_t,
contact_viscosity_tangential=gamma_t,
contact_dynamic_friction = mu_d,
rotating=rotating)