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-rw-r--r--boltzgen/lbm/__init__.py29
1 files changed, 22 insertions, 7 deletions
diff --git a/boltzgen/lbm/__init__.py b/boltzgen/lbm/__init__.py
index 8206baa..3f608cb 100644
--- a/boltzgen/lbm/__init__.py
+++ b/boltzgen/lbm/__init__.py
@@ -9,8 +9,14 @@ def assign(names, definitions):
return list(map(lambda x: Assignment(*x), zip(names, definitions)))
class LBM:
- def __init__(self, descriptor):
+ def __init__(self, descriptor, tau, optimize = True):
self.descriptor = descriptor
+ self.tau = tau
+ self.optimize = optimize
+
+ if self.tau <= 0.5:
+ raise Exception('Relaxation time must be larger than 0.5')
+
self.f_next = symarray('f_next', descriptor.q)
self.f_curr = symarray('f_curr', descriptor.q)
@@ -20,7 +26,10 @@ class LBM:
if not hasattr(descriptor, 'c_s'):
self.descriptor.c_s = c_s(descriptor.d, descriptor.c, self.descriptor.w)
- def moments(self, optimize = True):
+ def moments(self, optimize = None):
+ if optimize is None:
+ optimize = self.optimize
+
rho = symbols('rho')
u = Matrix(symarray('u', self.descriptor.d))
@@ -35,10 +44,16 @@ class LBM:
else:
return ([], exprs)
- def equilibrium(self):
+ def equilibrium(self, resolve_moments = False):
rho = symbols('rho')
u = Matrix(symarray('u', self.descriptor.d))
+ if resolve_moments:
+ moments = self.moments(optimize = False)[1]
+ rho = moments[0].rhs
+ for i, m in enumerate(moments[1:]):
+ u[i] = m.rhs
+
f_eq = []
for i, c_i in enumerate(self.descriptor.c):
@@ -50,11 +65,11 @@ class LBM:
return f_eq
- def bgk(self, tau, f_eq, optimize = True):
- if tau <= 0.5:
- raise Exception('Relaxation time must be larger than 0.5')
+ def bgk(self, f_eq, optimize = None):
+ if optimize is None:
+ optimize = self.optimize
- exprs = [ self.f_curr[i] + 1/tau * (f_eq_i - self.f_curr[i]) for i, f_eq_i in enumerate(f_eq) ]
+ exprs = [ self.f_curr[i] + 1/self.tau * (f_eq_i - self.f_curr[i]) for i, f_eq_i in enumerate(f_eq) ]
if optimize:
subexprs, f = cse(exprs, optimizations=optimizations.custom)