File size: 4,342 Bytes
ebc46a9 | 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 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 | import json
from pathlib import Path
import h5py
import numpy as np
from src.t2_material_loading_memory import (
DATA_PATH,
MATERIAL_MODELS,
PATH_FAMILIES,
_j2_monotonic_reference,
case_identity,
design_parameters,
prescribed_history,
solve_trajectory,
split_assignments,
)
def test_t2_design_is_unique_balanced_and_split_by_trajectory():
rows = design_parameters()
split = split_assignments(rows)
assert len(rows) == 96
assert len({case_identity(row) for row in rows}) == 96
assert sum(value == "train" for value in split.values()) == 72
assert sum(value == "validation" for value in split.values()) == 12
assert sum(value == "test" for value in split.values()) == 12
for model in MATERIAL_MODELS:
assert sum(row["material_model"] == model for row in rows) == 48
for family in PATH_FAMILIES:
indices = [
index
for index, row in enumerate(rows)
if row["material_model"] == model
and row["path_family"] == family
]
assert len(indices) == 8
assert sum(split[index] == "train" for index in indices) == 6
assert sum(split[index] == "validation" for index in indices) == 1
assert sum(split[index] == "test" for index in indices) == 1
def test_t2_prescribed_histories_have_fixed_size_and_required_reversals():
for row in design_parameters():
time, strain, anchors = prescribed_history(row)
assert len(time) == len(strain) == 121
assert np.all(np.diff(time) > 0.0)
assert strain[0] == 0.0
assert np.max(np.abs(strain)) <= 1.15 * row["maximum_equivalent_strain"]
for anchor in anchors:
assert np.any(np.isclose(strain, anchor, rtol=0.0, atol=1.0e-15))
if row["path_family"] not in ("monotonic_tension", "unload_reload"):
assert np.min(anchors) < 0.0 < np.max(anchors)
def test_t2_refined_paths_are_nested_at_every_coarse_state():
for row in design_parameters():
_, coarse, _ = prescribed_history(row, points=121)
_, fine, _ = prescribed_history(row, points=241)
np.testing.assert_allclose(coarse, fine[::2], rtol=0.0, atol=1.0e-15)
def test_t2_agentfem_material_point_smoke_paths_are_physical():
rows = design_parameters()
for model in MATERIAL_MODELS:
for family in PATH_FAMILIES:
row = next(
item
for item in rows
if item["material_model"] == model
and item["path_family"] == family
)
arrays, metrics = solve_trajectory(row, points=41)
assert metrics["all_finite"]
assert metrics["plastic_step_count"] > 0
assert metrics["maximum_plastic_strain_trace"] < 1.0e-10
assert metrics["minimum_peeq_increment"] >= -1.0e-12
assert metrics["maximum_yield_surface_relative_residual"] < 1.0e-8
assert arrays["signed_equivalent_stress_pa"][0] == 0.0
if family == "symmetric_cyclic":
assert metrics["zero_strain_stress_range_pa"] > 1.0e6
def test_t2_j2_monotonic_path_matches_closed_form():
row = next(
item
for item in design_parameters()
if item["material_model"] == "j2_linear_isotropic"
and item["path_family"] == "monotonic_tension"
)
arrays, _ = solve_trajectory(row, points=41)
stress, peeq = _j2_monotonic_reference(row)
np.testing.assert_allclose(
arrays["signed_equivalent_stress_pa"][-1], stress, rtol=1.0e-11
)
np.testing.assert_allclose(
arrays["equivalent_plastic_strain"][-1], peeq, rtol=1.0e-11
)
def test_t2_packaged_pilot_is_readable_when_present():
if not DATA_PATH.exists():
return
quality_path = DATA_PATH.parents[2] / "artifacts" / DATA_PATH.parent.name / "quality.json"
quality = json.loads(quality_path.read_text(encoding="utf-8"))
assert quality["status"] == "accepted"
with h5py.File(DATA_PATH, "r") as h5:
assert len(h5) == 96
for group in h5.values():
assert group["stress_pa"].shape == (121, 3, 3)
assert np.isfinite(group["stress_pa"][:]).all()
assert np.isfinite(group["equivalent_plastic_strain"][:]).all()
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