1
Fork 0

Post-processing: U, P plots

This commit is contained in:
Edgar P. Burkhart 2022-04-14 14:43:13 +02:00
parent 428f891a85
commit a9230f485f
Signed by: edpibu
GPG key ID: 9833D3C5A25BD227

View file

@ -0,0 +1,88 @@
import argparse
import configparser
import gzip
from itertools import starmap
import logging
import multiprocessing as mp
import pathlib
import pickle
from cycler import cycler
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import numpy as np
from scipy import interpolate
from .olaflow import OFModel
parser = argparse.ArgumentParser(description="Post-process olaflow results")
parser.add_argument("-v", "--verbose", action="count", default=0)
parser.add_argument("-c", "--config", default="config.ini")
args = parser.parse_args()
logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
log = logging.getLogger("ola_post")
log.info("Animating olaFlow output")
config = configparser.ConfigParser()
config.read(args.config)
out = pathlib.Path(config.get("post", "out"))
out.mkdir(parents=True, exist_ok=True)
with gzip.open(gzf, "rb") if (
gzf := out.joinpath("pickle.gz")
).exists() else gzf.with_suffix("").open("rb") as f:
model = pickle.load(f)
x0_conf = config.getfloat("post", "x")
x0_val = model.x[np.argmin(np.abs(model.x - x0_conf))]
# z0 = config.getfloat("post", "z")
# z0 = np.linspace(-5, 5, 16)
c0_ = ((model.x == x0_val)[None, :] & (model.fields["alpha.water"] > 0.95)).any(axis=0)
c0 = model.coords[c0_][:: (c0_.sum() // 8 + 1)]
i0 = np.argmin(
np.linalg.norm(model.coords[..., None] - c0.T[None, ...], axis=1),
axis=0,
)
aw = model.fields["alpha.water"][:, i0]
U = np.where(aw > 0.95, np.linalg.norm(model.fields["U"][..., i0], axis=1), np.nan)
P = np.where(aw > 0.95, model.fields["p"][..., i0], np.nan)
P_rgh = np.where(aw > 0.95, model.fields["p_rgh"][..., i0], np.nan)
with plt.rc_context(
{
"axes.prop_cycle": cycler(
color=np.linspace(0, 1, i0.size + 1)[:-1].astype("U")
),
"axes.grid": True,
"axes.xmargin": 0,
}
):
fig, ax = plt.subplots(3, constrained_layout=True)
ax1, ax2, ax3 = ax
ha = ax1.plot(model.t, U, lw=1)
ax1.set(xlabel="t (s)", ylabel="U (m/s)")
ax2.plot(model.t, P*1e-3, lw=1)
ax2.set(xlabel="t (s)", ylabel="P (kPa)")
ax3.plot(model.t, P_rgh*1e-3, lw=1)
ax3.set(xlabel="t (s)", ylabel="P_rgh (kPa)")
for a in ax:
a.set(ylim=0)
ax2.legend(
ha,
list(
starmap(lambda x, z: f"x={x:8}m; z={z:8}m", zip(model.x[i0], model.z[i0]))
),
bbox_to_anchor=(1.05, .5),
loc="center left"
)
plt.show()