tMerge branch 'master' of github.com:anders-dc/SeaIce.jl - Granular.jl - Julia package for granular dynamics simulation
(HTM) git clone git://src.adamsgaard.dk/Granular.jl
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---
(DIR) commit 0440db5e1befd66a7f4c9fb98061d8f4604d56f1
(DIR) parent 784fc626abb1dde66a6aed241677ad8d5d8b53ac
(HTM) Author: Anders Damsgaard <andersd@riseup.net>
Date: Mon, 8 May 2017 16:58:56 -0400
Merge branch 'master' of github.com:anders-dc/SeaIce.jl
Diffstat:
A examples/double_gyre.jl | 100 +++++++++++++++++++++++++++++++
M examples/nares_strait.jl | 51 +++++++++++++++++++++++--------
M test/collision-2floes-oblique.jl | 28 ++++++++++++++--------------
3 files changed, 152 insertions(+), 27 deletions(-)
---
(DIR) diff --git a/examples/double_gyre.jl b/examples/double_gyre.jl
t@@ -0,0 +1,100 @@
+#!/usr/bin/env julia
+import SeaIce
+
+sim = SeaIce.createSimulation(id="double_gyre")
+
+# Initialize ocean
+L = [100e3, 50e3, 1e3]
+Ly_constriction = 20e3
+#n = [750, 500, 2] # high resolution
+n = [30, 15, 2] # intermedite resolution
+#n = [8, 5, 2] # coarse resolution
+sim.ocean = SeaIce.createRegularOceanGrid(n, L, name="double_gyre")
+
+epsilon = 0.25 # amplitude of periodic oscillations
+t = 0.
+a = epsilon*sin(2.*pi*t)
+b = 1. - 2.*epsilon*sin(2.*pi*t)
+for i=1:size(sim.ocean.u, 1)
+ for j=1:size(sim.ocean.u, 2)
+
+ x = sim.ocean.xq[i, j]/(L[1]*.5) # x in [0;2]
+ y = sim.ocean.yq[i, j]/L[2] # y in [0;1]
+
+ f = a*x^2. + b*x
+ df_dx = 2.*a*x + b
+
+ sim.ocean.u[i, j, 1, 1] = -pi/10.*sin(pi*f)*cos(pi*y) * 1e1
+ sim.ocean.v[i, j, 1, 1] = pi/10.*cos(pi*f)*sin(pi*y)*df_dx * 1e1
+ end
+end
+
+# Initialize confining walls, which are ice floes that are fixed in space
+r = minimum(L[1:2]/n[1:2])/2.
+h = 1.
+
+## N-S wall segments
+for y in linspace(r, L[2]-r, Int(round((L[2] - 2.*r)/(r*2))))
+ SeaIce.addIceFloeCylindrical(sim, [r, y], r, h, fixed=true,
+ verbose=false)
+ SeaIce.addIceFloeCylindrical(sim, [L[1]-r, y], r, h, fixed=true,
+ verbose=false)
+end
+
+## E-W wall segments
+for x in linspace(3.*r, L[1]-3.*r, Int(round((L[1] - 6.*r)/(r*2))))
+ SeaIce.addIceFloeCylindrical(sim, [x, r], r, h, fixed=true,
+ verbose=false)
+ SeaIce.addIceFloeCylindrical(sim, [x, L[2]-r], r, h, fixed=true,
+ verbose=false)
+end
+
+n_walls = length(sim.ice_floes)
+info("added $(n_walls) fixed ice floes as walls")
+
+
+
+# Initialize ice floes everywhere
+floe_padding = .5*r
+noise_amplitude = .8*floe_padding
+Base.Random.srand(1)
+for y in (4.*r + noise_amplitude):(2.*r + floe_padding):(L[2] - 4.*r -
+ noise_amplitude)
+
+ for x in (4.*r + noise_amplitude):(2.*r + floe_padding):(L[1] - 4.*r -
+ noise_amplitude)
+ #if iy % 2 == 0
+ #x += 1.5*r
+ #end
+
+ x_ = x + noise_amplitude*(0.5 - Base.Random.rand())
+ y_ = y + noise_amplitude*(0.5 - Base.Random.rand())
+
+ SeaIce.addIceFloeCylindrical(sim, [x_, y_], r, h, verbose=false)
+ end
+end
+n = length(sim.ice_floes) - n_walls
+info("added $(n) ice floes")
+
+# Remove old simulation files
+SeaIce.removeSimulationFiles(sim)
+
+k_n = 1e6 # N/m
+gamma_t = 1e7 # N/(m/s)
+mu_d = 0.7
+rotating = false
+for i=1:length(sim.ice_floes)
+ sim.ice_floes[i].contact_stiffness_normal = k_n
+ sim.ice_floes[i].contact_stiffness_tangential = k_n
+ sim.ice_floes[i].contact_viscosity_tangential = gamma_t
+ sim.ice_floes[i].contact_dynamic_friction = mu_d
+ sim.ice_floes[i].rotating = rotating
+end
+
+# Set temporal parameters
+SeaIce.setTotalTime!(sim, 12.*60.*60.)
+SeaIce.setOutputFileInterval!(sim, 60.)
+SeaIce.setTimeStep!(sim)
+
+SeaIce.run!(sim, status_interval=1,
+ contact_tangential_rheology="Linear Viscous Frictional")
(DIR) diff --git a/examples/nares_strait.jl b/examples/nares_strait.jl
t@@ -5,12 +5,13 @@ sim = SeaIce.createSimulation(id="nares_strait")
# Initialize ocean
Lx = 50.e3
-Lx_constriction = Lx*.25
+Lx_constriction = 10e3
L = [Lx, Lx*1.5, 1e3]
-Ly_constriction = L[2]*.33
+Ly_constriction = 20e3
#n = [100, 100, 2] # high resolution
#n = [50, 50, 2] # intermedite resolution
-n = [6, 6, 2] # coarse resolution
+n = [25, 25, 2]
+#n = [6, 6, 2] # coarse resolution
sim.ocean = SeaIce.createRegularOceanGrid(n, L, name="poiseuille_flow")
sim.ocean.v[:, :, 1, 1] = 1e-8*((sim.ocean.xq - Lx/2.).^2 - Lx^2./4.)
t@@ -108,16 +109,24 @@ info("added $(n) ice floes")
# Remove old simulation files
SeaIce.removeSimulationFiles(sim)
-# Set temporal parameters
-SeaIce.setTotalTime!(sim, 24.*60.*60.)
-SeaIce.setOutputFileInterval!(sim, 60.)
-SeaIce.setTimeStep!(sim)
-
-gamma_t = 1e4 # N/(m/s)
+k_n = 1e6 # N/m
+k_t = k_n
+gamma_t = 1e7 # N/(m/s)
+mu_d = 0.7
+rotating = true
for i=1:length(sim.ice_floes)
+ sim.ice_floes[i].contact_stiffness_normal = k_n
+ sim.ice_floes[i].contact_stiffness_tangential = k_t
sim.ice_floes[i].contact_viscosity_tangential = gamma_t
+ sim.ice_floes[i].contact_dynamic_friction = mu_d
+ sim.ice_floes[i].rotating = rotating
end
+# Set temporal parameters
+SeaIce.setTotalTime!(sim, 12.*60.*60.)
+SeaIce.setOutputFileInterval!(sim, 60.)
+SeaIce.setTimeStep!(sim)
+
# Run simulation for 10 time steps, then add new icefloes from the top
while sim.time < sim.time_total
for it=1:10
t@@ -132,13 +141,29 @@ while sim.time < sim.time_total
# Enable for high mass flux
SeaIce.addIceFloeCylindrical(sim, [x-r, y-r], r, h, verbose=false,
- contact_viscosity_tangential=gamma_t)
+ contact_stiffness_normal=k_n,
+ contact_stiffness_normal=k_n,
+ contact_viscosity_tangential=gamma_t,
+ contact_dynamic_friction = mu_d,
+ rotating=rotating)
SeaIce.addIceFloeCylindrical(sim, [x+r, y-r], r, h, verbose=false,
- contact_viscosity_tangential=gamma_t)
+ contact_stiffness_normal=k_n,
+ contact_stiffness_normal=k_n,
+ contact_viscosity_tangential=gamma_t,
+ contact_dynamic_friction = mu_d,
+ rotating=rotating)
SeaIce.addIceFloeCylindrical(sim, [x+r, y+r], r, h, verbose=false,
- contact_viscosity_tangential=gamma_t)
+ contact_stiffness_normal=k_n,
+ contact_stiffness_normal=k_n,
+ contact_viscosity_tangential=gamma_t,
+ contact_dynamic_friction = mu_d,
+ rotating=rotating)
SeaIce.addIceFloeCylindrical(sim, [x-r, y+r], r, h, verbose=false,
- contact_viscosity_tangential=gamma_t)
+ contact_stiffness_normal=k_n,
+ contact_stiffness_normal=k_n,
+ contact_viscosity_tangential=gamma_t,
+ contact_dynamic_friction = mu_d,
+ rotating=rotating)
# Enable for low mass flux
#x += noise_amplitude*(0.5 - Base.Random.rand())
(DIR) diff --git a/test/collision-2floes-oblique.jl b/test/collision-2floes-oblique.jl
t@@ -204,8 +204,8 @@ SeaIce.run!(sim, temporal_integration_method="Two-term Taylor",
contact_tangential_rheology="Linear Viscous Frictional",
verbose=verbose)
-@test sim.ice_floes[1].ang_pos > 0.
-@test sim.ice_floes[1].ang_vel > 0.
+@test sim.ice_floes[1].ang_pos < 0.
+@test sim.ice_floes[1].ang_vel < 0.
@test sim.ice_floes[2].ang_pos ≈ 0.
@test sim.ice_floes[2].ang_vel ≈ 0.
E_kin_lin_final = SeaIce.totalIceFloeKineticTranslationalEnergy(sim)
t@@ -241,8 +241,8 @@ SeaIce.run!(sim, temporal_integration_method="Two-term Taylor",
contact_tangential_rheology="Linear Viscous Frictional",
verbose=verbose)
-@test sim.ice_floes[1].ang_pos > 0.
-@test sim.ice_floes[1].ang_vel > 0.
+@test sim.ice_floes[1].ang_pos < 0.
+@test sim.ice_floes[1].ang_vel < 0.
@test sim.ice_floes[2].ang_pos ≈ 0.
@test sim.ice_floes[2].ang_vel ≈ 0.
E_kin_lin_final = SeaIce.totalIceFloeKineticTranslationalEnergy(sim)
t@@ -259,8 +259,8 @@ SeaIce.run!(sim, temporal_integration_method="Three-term Taylor",
contact_tangential_rheology="Linear Viscous Frictional",
verbose=verbose)
-@test sim.ice_floes[1].ang_pos > 0.
-@test sim.ice_floes[1].ang_vel > 0.
+@test sim.ice_floes[1].ang_pos < 0.
+@test sim.ice_floes[1].ang_vel < 0.
@test sim.ice_floes[2].ang_pos ≈ 0.
@test sim.ice_floes[2].ang_vel ≈ 0.
E_kin_lin_final = SeaIce.totalIceFloeKineticTranslationalEnergy(sim)
t@@ -293,10 +293,10 @@ SeaIce.run!(sim, temporal_integration_method="Two-term Taylor",
contact_tangential_rheology="Linear Viscous Frictional",
verbose=verbose)
-@test sim.ice_floes[1].ang_pos > 0.
-@test sim.ice_floes[1].ang_vel > 0.
-@test sim.ice_floes[2].ang_pos > 0.
-@test sim.ice_floes[2].ang_vel > 0.
+@test sim.ice_floes[1].ang_pos < 0.
+@test sim.ice_floes[1].ang_vel < 0.
+@test sim.ice_floes[2].ang_pos < 0.
+@test sim.ice_floes[2].ang_vel < 0.
E_kin_lin_final = SeaIce.totalIceFloeKineticTranslationalEnergy(sim)
E_kin_rot_final = SeaIce.totalIceFloeKineticRotationalEnergy(sim)
@test_approx_eq_eps E_kin_lin_init+E_kin_rot_init E_kin_lin_final+E_kin_rot_final E_kin_lin_init*tol
t@@ -390,10 +390,10 @@ SeaIce.run!(sim, temporal_integration_method="Three-term Taylor",
contact_tangential_rheology="Linear Viscous Frictional",
verbose=verbose)
-@test sim.ice_floes[1].ang_pos > 0.
-@test sim.ice_floes[1].ang_vel > 0.
-@test sim.ice_floes[2].ang_pos > 0.
-@test sim.ice_floes[2].ang_vel > 0.
+@test sim.ice_floes[1].ang_pos < 0.
+@test sim.ice_floes[1].ang_vel < 0.
+@test sim.ice_floes[2].ang_pos < 0.
+@test sim.ice_floes[2].ang_vel < 0.
E_kin_lin_final = SeaIce.totalIceFloeKineticTranslationalEnergy(sim)
E_kin_rot_final = SeaIce.totalIceFloeKineticRotationalEnergy(sim)
@test_approx_eq_eps E_kin_lin_init+E_kin_rot_init E_kin_lin_final+E_kin_rot_final E_kin_lin_init*tol