smillmorel
ba783718d4
Catch-all for the intermixed residue of the unpushed otko-development work ported into this tree: combinations/console-dock/quick-guide wiring across commands, core, services, views and tests; repo-wide ruff-format normalization; README/CONTRIBUTING updates; and the toolbar default (both toolbars now open in the top area, quick guide text updated). Splitting this further would require hunk-level surgery with low confidence; the preceding commits in this branch isolate the self-contained features.
65 lines
1.8 KiB
Python
65 lines
1.8 KiB
Python
"""Pattern-factor integration: scaled static load doubles the tip displacement."""
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from __future__ import annotations
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import math
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import pytest
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ops = pytest.importorskip("openseespy.opensees") # skip if OpenSeesPy not installed
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from otko.core import ( # noqa: E402
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ElasticBeamColumn,
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ElasticSection,
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LinearTimeSeries,
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NodalLoad,
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Node,
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PlainLoadPattern,
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Project,
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StaticCase,
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)
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from otko.services import OpenSeesRunner # noqa: E402
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pytestmark = pytest.mark.slow
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def _cantilever() -> Project:
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length = 5.0
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load = 1000.0
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elastic_mod = 200e9
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area = 0.01
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inertia = 8.333e-6
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return Project(
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ndm=2,
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ndf=3,
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nodes=[
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Node(
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id=1,
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coords=(0.0, 0.0, 0.0),
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restraint=(True, True, False, False, False, True),
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),
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Node(id=2, coords=(length, 0.0, 0.0)),
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],
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sections=[ElasticSection(id=1, E=elastic_mod, A=area, Iz=inertia)],
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elements=[ElasticBeamColumn(id=1, nodes=(1, 2), section_id=1)],
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time_series=[LinearTimeSeries(id=1)],
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load_patterns=[
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PlainLoadPattern(
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id=1,
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time_series_id=1,
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nodal_loads=[NodalLoad(node_id=2, forces=(0.0, -load, 0.0, 0.0, 0.0, 0.0))],
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)
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],
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)
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def test_pattern_factor_doubles_tip_disp() -> None:
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"""StaticCase pattern_factors={1: 2.0} must double the tip displacement."""
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base = OpenSeesRunner(_cantilever()).run(StaticCase(id=1, name="base", pattern_ids=[1]))
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scaled = OpenSeesRunner(_cantilever()).run(
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StaticCase(id=1, name="scaled", pattern_ids=[1], pattern_factors={1: 2.0})
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)
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d_base = base.disp(node_id=2, dof=2)
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d_scaled = scaled.disp(node_id=2, dof=2)
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assert d_base != 0.0
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assert math.isclose(d_scaled, 2.0 * d_base, rel_tol=1e-9)
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