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tnew wall mass function - sphere - GPU-based 3D discrete element method algorit…
git clone git://src.adamsgaard.dk/sphere
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---
commit 4208da212cc52b671a382207ec692867a4ba660a
parent f6bc88c372f7e5685903e8911f6e87f4084cca4e
Author: Anders Damsgaard <[email protected]>
Date: Mon, 31 Mar 2014 10:45:05 +0200
new wall mass function
Diffstat:
M python/sphere.py | 16 +++++++++++-----
1 file changed, 11 insertions(+), 5 deletions(-)
---
diff --git a/python/sphere.py b/python/sphere.py
t@@ -2019,9 +2019,14 @@ class sim:
self.w_m = numpy.zeros(1)
self.adjustWall(idx=0, adjust = z_adjust)
- def adjustWall(self, idx, adjust = 1.1):
+ def adjustWall(self, idx, adjust = 1.1, wall_mass_factor = 1.0):
'''
- Adjust grid and dynamic wall to max. particle position
+ Adjust grid and dynamic wall to max. particle position. The wall
+ thickness will by standard equal the maximum particle diameter. The
+ density equals the particle density, and the wall size is equal to the
+ width and depth of the simulation domain (`self.L[0]` and `self.L[1]`).
+ The total wall mass can be linearly scaled by the `wall_mass_factor`
+ parameter.
:param: idx: The wall to adjust. 0 = +z, upper wall (default), 1 = -x,
left wall, 2 = +x, right wall, 3 = -y, front wall, 4 = +y, back
t@@ -2030,6 +2035,7 @@ class sim:
:param z_adjust: Increase the world and grid size by this amount to
allow for wall movement.
:type z_adjust: float
+ :param
'''
if (idx == 0):
t@@ -2054,9 +2060,9 @@ class sim:
self.w_x[idx] = numpy.array([xmax])
else:
self.w_x[idx] = numpy.array([xmin])
- self.w_m[idx] = numpy.array([self.rho[0]*self.np*math.pi \
- *(cellsize/2.0)**3])
-
+ #self.w_m[idx] = numpy.array([self.rho[0]*self.np*math.pi \
+ # *(cellsize/2.0)**3])
+ self.w_m[idx] = numpy.array([self.rho*self.L[0]*self.L[1]*cellsize])
def consolidate(self, normal_stress = 10e3):
'''
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