started work on e-RK-4 for outflux calculation

This commit is contained in:
Brantegger Georg
2022-06-13 15:03:01 +02:00
parent 12b362523e
commit aa2939bf8b

View File

@@ -1,6 +1,6 @@
import numpy as np
def Volume_trend(influx,outflux,timestep=1,V_0=0):
def Volume_trend(influx, outflux, timestep=1, V_0=0):
'''
Returns the trend and the volume and the final volume, defined
by influx and outflux patterns. The optional parameter timestep
@@ -12,7 +12,7 @@ def Volume_trend(influx,outflux,timestep=1,V_0=0):
V_end = V_trend[-1]
return V_end, V_trend
def Height_trend(V_trend,area=1,h_crit_low=-np.inf,h_crit_high=np.inf):
def Height_trend(V_trend, area=1, h_crit_low=-np.inf, h_crit_high=np.inf):
'''
Returns the trend and the height and the final height, defined
by influx and outflux patterns as well as the crosssection area.
@@ -24,12 +24,44 @@ def Height_trend(V_trend,area=1,h_crit_low=-np.inf,h_crit_high=np.inf):
h_crit_flag_low = np.any(h_trend <= h_crit_low)
h_crit_flag_high = np.any(h_trend >= h_crit_high)
h_end = h_trend[-1]
return h_trend,h_end,h_crit_flag_low,h_crit_flag_high
return h_trend, h_end, h_crit_flag_low, h_crit_flag_high
def get_h_halfstep(initial_height, influx, outflux, timestep, area):
h0 = initial_height
Q_in = influx
Q_out = outflux
dt = timestep
A = area
h_halfstep = h0+1/A*(Q_in-Q_out)*dt/2
def get_p_halfstep(p0, p1):
p_halfstep = (p0+p1)/2
def FODE_function(x, h, alpha, p, rho=1000, g=9.81):
f = x**2/h*alpha+g+p/(rho*h)
return f
def e_RK_4(yn, h, dt, Q0, Q1, A0, A1, p0, p1):
alpha = (A1/A0-1)
h_hs = get_h_halfstep(h, Q0, Q1, dt, A0)
p_hs = get_p_halfstep(p0, p1)
Y1 = yn
Y2 = yn + dt/2*FODE_function(Y1, h, alpha, p0)
Y3 = yn + dt/2*FODE_function(Y2, h_hs, alpha, p_hs)
Y4 = yn + dt*FODE_function(Y3, h_hs, alpha, p_hs)
ynp1 = yn + dt/6*(FODE_function(Y1, h, alpha, p)+2*FODE_function(Y2, h_hs, alpha, p_hs)+ \
2*FODE_function(Y3, h_hs, alpha, p_hs)+ FODE_function(Y4, h, alpha, p))
## testing
if __name__ == "__main__":
influx = np.full([1,100], 6)
outflux = np.full_like(influx, 4)
V_end, V_trend = Volume_trend(influx, outflux,timestep=0.5,V_0 = 100)
print(V_end)
print(V_trend)
# if __name__ == "__main__":
# influx = np.full([1, 100], 6)
# outflux = np.full_like(influx, 4)
# V_end, V_trend = Volume_trend(influx, outflux, timestep=0.5, V_0 = 100)
# print(V_end)
# print(V_trend)