File size: 2,254 Bytes
1cd8661 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | #!/usr/bin/env python3
"""Render nodal displacement magnitude and shell von Mises stress by state."""
from __future__ import annotations
import argparse
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import torch
from load_case import canonical_geometry, load_case, load_mesh
def main() -> None:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--dataset-root", type=Path, default=Path("."))
parser.add_argument("--geometry", required=True)
parser.add_argument("--case", required=True)
parser.add_argument("--state", type=int, default=0, choices=range(17))
parser.add_argument("--output", type=Path)
args = parser.parse_args()
geometry = canonical_geometry(args.geometry)
data = load_case(args.dataset_root, geometry, args.case)
mesh = load_mesh(args.dataset_root, geometry)
state = args.state
pos = mesh["node_pos"]
displacement = data["disp"][:, state].numpy()
deformed = pos + displacement
magnitude = torch.linalg.vector_norm(data["disp"][:, state], dim=-1).numpy()
connectivity = mesh["element_node_index"]
centers = deformed[connectivity].mean(axis=1)
stress = data["effective_stress"][:, state].numpy()
figure, axes = plt.subplots(1, 2, figsize=(14, 5), constrained_layout=True)
first = axes[0].scatter(
deformed[:, 0], deformed[:, 1], c=magnitude, s=1.2, cmap="viridis"
)
axes[0].set_title(f"Nodal displacement magnitude, state {state}")
figure.colorbar(first, ax=axes[0])
second = axes[1].scatter(
centers[:, 0], centers[:, 1], c=stress, s=1.2, cmap="turbo"
)
axes[1].set_title(f"Max-IP von Mises stress, state {state}")
figure.colorbar(second, ax=axes[1])
for axis in axes:
axis.set_aspect("equal", adjustable="box")
axis.set_xlabel("x (unit pending confirmation)")
axis.set_ylabel("y (unit pending confirmation)")
figure.suptitle(f"{geometry} / {data['case']} / t={float(data['time'][state]):.6g}")
if args.output:
args.output.parent.mkdir(parents=True, exist_ok=True)
figure.savefig(args.output, dpi=200)
print(args.output)
else:
plt.show()
if __name__ == "__main__":
main()
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