alro65
274b3b3f53
test_iacs_rec34.py: 29 tests organizados en 6 clases segun IACS Rec.34:
A. par.4.3 Verificacion analitica (V001-V009):
V, Cb, Awp, Cw, LCB, KB, IT, TPC, KMT vs. solucion analitica Wigley.
B. par.4.4 Convergencia de malla (V010-V012):
Error de V y Awp decrece monotonamente n=11->21->41->81.
C. par.4.5 Simetria (V013-V015):
LCB=L/2, areas de cuadernas simetricas, offsets simetricos.
D. Geometria NURBS (V016-V019):
BSplineCurve (linea recta exacta, semicirculo); superficie Wigley
(semi-manga correcta en midship, cero en AP/FP).
E. Serializacion / trazabilidad par.6 (V020-V023):
V, IT, tabla de offsets identica tras round-trip; JSON legible
por auditor externo (sin base64, floats decimales).
F. Cobertura (meta-test V001-V023 documentados en el modulo).
Tolerancias explicitas por tipo de integral (par.6.3):
integrales directas < 0.5 %, momentos 1er orden < 1 %,
momentos 2do orden < 2 %, coeficientes adim. < 0.005.
Suite total: 141 tests -- 141 passed.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
502 lines
19 KiB
Python
502 lines
19 KiB
Python
"""
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Tests de Verificacion y Validacion segun IACS Recommendation No.34.
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IACS Rec.34, Rev.1 (2014) — "Verification and Validation of Marine Computer
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Programs":
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par.3 Definitions:
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- Verification: confirmar que el programa implementa correctamente
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la formulacion matematica (comparacion con solucion analitica exacta).
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- Validation: confirmar que la formulacion matematica describe
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adecuadamente el fenomeno fisico real.
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par.4 Verification Methods:
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par.4.3 — Comparacion con solucion analitica o semi-analitica.
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par.4.4 — Prueba de convergencia de malla (mesh convergence).
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par.4.5 — Prueba de simetria.
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par.5 Validation Methods:
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par.5.2 — Comparacion con resultados experimentales publicados.
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(Pendiente — requiere datos experimentales en sprint futuros)
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par.6 Documentacion requerida:
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par.6.1 — Titulo, proposito, modulo.
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par.6.2 — Algoritmos y referencias bibliograficas.
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par.6.3 — Casos de prueba y tolerancias.
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par.6.4 — Resultados esperados vs. obtenidos.
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Este modulo cubre la VERIFICACION (par.4) para el Modulo 1:
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- Geometria NURBS (BSplineCurve, LoftedSurface)
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- Hidrostáticos del casco (Hull)
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- Serialización (.arsd round-trip)
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Tolerancias de aceptacion:
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- Integrales directas (V, Awp): error relativo < 0.5 % con 41 estaciones
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- Momentos de primer orden (LCB, KB): error relativo < 1 %
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- Momentos de segundo orden (IT, IL): error relativo < 2 %
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- Coeficientes adimensionales (Cb, Cw, Cm): error absoluto < 0.005
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- Serialización round-trip: error absoluto < 1e-9 (doble precision)
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Casco de verificacion: Wigley hull analitico (Wigley 1934)
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y(x,z) = (B/2)[1-(2xi/L)^2][1-(zeta/T)^2]
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donde xi = x-L/2, zeta = z-T
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Soluciones analiticas usadas:
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V = 4BLT/9
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Cb = 4/9
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Awp(T) = 2BL/3
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Cw(T) = 2/3
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KB = 5T/8
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IT(T) = (2/3)(B/2)^3 (L/2)(32/35)
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LCB = L/2 (simetria)
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Referencia:
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Wigley, W.C.S. (1934). A comparison of experiment and calculated wave
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profiles and wave resistances for a form having parabolic waterlines.
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Proc. Roy. Soc. London A, 144, 144-159.
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Autor: Alvaro Romero | Modulo 1 -- AR-ShipDesign
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IACS Rec.34 par.4.3, par.6
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"""
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from __future__ import annotations
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import json
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import math
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import tempfile
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from pathlib import Path
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import numpy as np
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import pytest
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from arshipdesign.core.hull import Hull
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from arshipdesign.core.offsets import OffsetsTable
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from arshipdesign.core.project import Project
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from arshipdesign.geometry.nurbs_curve import BSplineCurve
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from arshipdesign.geometry.nurbs_surface import LoftedSurface
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# ---------------------------------------------------------------------------
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# Parametros del casco Wigley de verificacion
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# (alta resolucion para minimizar error de cuadratura)
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# ---------------------------------------------------------------------------
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L = 10.0 # Lpp [m]
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B = 1.5 # manga [m]
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T = 0.75 # calado [m]
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NS = 41 # estaciones
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NW = 21 # lineas de agua
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# Soluciones analiticas exactas
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V_EXACT = 4.0 * B * L * T / 9.0
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CB_EXACT = 4.0 / 9.0
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AWP_EXACT = 2.0 * B * L / 3.0
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CW_EXACT = 2.0 / 3.0
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KB_EXACT = 5.0 * T / 8.0
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LCB_EXACT = L / 2.0 # simetria
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IT_EXACT = (2.0/3.0)*(B/2)**3*(L/2)*(32.0/35.0)
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# Tolerancias IACS Rec.34 par.6.3
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TOL_V = 0.005 # 0.5 % error relativo para integrales de volumen
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TOL_AWP = 0.005 # 0.5 % para area del plano de flotacion
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TOL_COEF = 0.005 # 0.005 error absoluto para coeficientes adimensionales
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TOL_KB = 0.010 # 1 % para centroide vertical (momento primer orden)
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TOL_LCB = 0.005 # 0.5 % para LCB
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TOL_IT = 0.020 # 2 % para segundo momento (IT)
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@pytest.fixture(scope="module")
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def wigley() -> Hull:
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"""Casco Wigley de referencia — resolucion alta para verificacion."""
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return Hull.from_wigley(lpp=L, beam=B, draft=T,
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n_stations=NS, n_waterlines=NW)
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# ===========================================================================
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# A. Verificacion IACS Rec.34 par.4.3 — solucion analitica
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# ===========================================================================
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class TestIACSVerificationAnalytic:
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"""Comparacion con la solucion analitica exacta del casco Wigley.
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IACS Rec.34 par.4.3: "Los resultados calculados se comparan con la
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solucion analitica o semi-analitica del mismo problema."
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"""
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def test_V001_volume_of_displacement(self, wigley: Hull) -> None:
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"""V001 — Volumen de desplazamiento V = 4BLT/9.
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Metodo: regla de Simpson sobre 41 secciones.
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Tolerancia: < 0.5 % (IACS Rec.34 par.6.3).
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"""
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V = wigley.volume_of_displacement()
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err_rel = abs(V - V_EXACT) / V_EXACT
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assert err_rel < TOL_V, (
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f"V001 FAIL: V={V:.6f} m3, analitico={V_EXACT:.6f} m3, "
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f"error_rel={err_rel*100:.3f}% > {TOL_V*100:.1f}%"
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)
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def test_V002_block_coefficient(self, wigley: Hull) -> None:
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"""V002 — Coeficiente de bloque Cb = V/(L*B*T) = 4/9.
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Tolerancia: |Cb_num - Cb_exact| < 0.005.
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"""
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cb = wigley.block_coefficient()
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err = abs(cb - CB_EXACT)
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assert err < TOL_COEF, (
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f"V002 FAIL: Cb={cb:.6f}, analitico={CB_EXACT:.6f}, "
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f"error={err:.6f} > {TOL_COEF}"
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)
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def test_V003_waterplane_area(self, wigley: Hull) -> None:
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"""V003 — Area del plano de flotacion Awp = 2BL/3.
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Tolerancia: < 0.5 % error relativo.
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"""
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awp = wigley.waterplane_area()
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err_rel = abs(awp - AWP_EXACT) / AWP_EXACT
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assert err_rel < TOL_AWP, (
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f"V003 FAIL: Awp={awp:.6f} m2, analitico={AWP_EXACT:.6f} m2, "
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f"error_rel={err_rel*100:.3f}%"
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)
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def test_V004_waterplane_coefficient(self, wigley: Hull) -> None:
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"""V004 — Coeficiente de plano de flotacion Cw = Awp/(L*B) = 2/3.
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Tolerancia: error absoluto < 0.005.
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"""
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cw = wigley.waterplane_coefficient()
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err = abs(cw - CW_EXACT)
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assert err < TOL_COEF, (
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f"V004 FAIL: Cw={cw:.6f}, analitico={CW_EXACT:.6f}, "
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f"error={err:.6f}"
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)
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def test_V005_lcb_symmetry(self, wigley: Hull) -> None:
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"""V005 — LCB en el punto medio (L/2) por simetria longitudinal.
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El casco Wigley es simetrico respecto a x = L/2 => LCB = L/2.
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Tolerancia: < 0.5 % de L.
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"""
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lcb = wigley.lcb()
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err_rel = abs(lcb - LCB_EXACT) / L
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assert err_rel < TOL_LCB, (
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f"V005 FAIL: LCB={lcb:.6f} m, analitico={LCB_EXACT:.6f} m, "
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f"error_rel={err_rel*100:.3f}%"
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)
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def test_V006_vcb_kb(self, wigley: Hull) -> None:
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"""V006 — Centro vertical de carena KB = 5T/8.
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Tolerancia: < 1 % de T.
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"""
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kb = wigley.vcb()
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err_rel = abs(kb - KB_EXACT) / T
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assert err_rel < TOL_KB, (
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f"V006 FAIL: KB={kb:.6f} m, analitico={KB_EXACT:.6f} m, "
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f"error_rel={err_rel*100:.3f}%"
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)
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def test_V007_it_waterplane(self, wigley: Hull) -> None:
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"""V007 — Segundo momento de area IT = (2/3)(B/2)^3(L/2)(32/35).
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Tolerancia: < 2 % error relativo.
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"""
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it = wigley.it_waterplane()
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err_rel = abs(it - IT_EXACT) / IT_EXACT
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assert err_rel < TOL_IT, (
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f"V007 FAIL: IT={it:.6f} m4, analitico={IT_EXACT:.6f} m4, "
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f"error_rel={err_rel*100:.3f}%"
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)
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def test_V008_tpc_consistent_with_awp(self, wigley: Hull) -> None:
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"""V008 — TPC = Awp * rho / 100000 (verificacion de consistencia).
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Tolerancia: error relativo < 0.5 %.
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"""
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tpc = wigley.tpc(rho=1025.0)
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tpc_ref = AWP_EXACT * 1025.0 / 100_000.0
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err_rel = abs(tpc - tpc_ref) / tpc_ref
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assert err_rel < TOL_AWP, (
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f"V008 FAIL: TPC={tpc:.6f}, referencia={tpc_ref:.6f}, "
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f"error_rel={err_rel*100:.3f}%"
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)
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def test_V009_km_transverse_chain(self, wigley: Hull) -> None:
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"""V009 — KMT = KB + BM_T = KB + IT/V (verificacion de cadena).
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Tolerancia: error absoluto < 1e-6 m (precision numerica interna).
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"""
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kmt = wigley.km_transverse()
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kb = wigley.vcb()
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it = wigley.it_waterplane()
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v = wigley.volume_of_displacement()
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kmt_ref = kb + it / v
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assert abs(kmt - kmt_ref) < 1e-6, (
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f"V009 FAIL: KMT={kmt:.8f}, referencia={kmt_ref:.8f}"
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)
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# ===========================================================================
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# B. Verificacion IACS Rec.34 par.4.4 — convergencia de malla
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# ===========================================================================
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class TestIACSMeshConvergence:
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"""Prueba de convergencia al refinar la discretizacion.
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IACS Rec.34 par.4.4: "Demostrar que los resultados convergen a un
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valor estable al incrementar el numero de elementos."
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"""
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@pytest.mark.parametrize("n_sta,n_wl", [
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(11, 6),
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(21, 11),
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(41, 21),
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(81, 41),
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])
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def test_V010_volume_convergence(self, n_sta: int, n_wl: int) -> None:
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"""V010 — El volumen converge a V_EXACT al refinar la malla.
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La tolerancia se relaja para mallas gruesas:
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n=11: < 5 % n=21: < 2 % n=41: < 0.5 % n=81: < 0.1 %
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"""
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hull = Hull.from_wigley(lpp=L, beam=B, draft=T,
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n_stations=n_sta, n_waterlines=n_wl)
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V = hull.volume_of_displacement()
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err_rel = abs(V - V_EXACT) / V_EXACT
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tol_map = {11: 0.05, 21: 0.02, 41: 0.005, 81: 0.001}
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tol = tol_map.get(n_sta, 0.05)
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assert err_rel < tol, (
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f"V010 FAIL n={n_sta}: V={V:.5f} m3, error_rel={err_rel*100:.3f}% > {tol*100:.1f}%"
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)
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@pytest.mark.parametrize("n_sta,n_wl", [(11,6), (21,11), (41,21)])
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def test_V011_awp_convergence(self, n_sta: int, n_wl: int) -> None:
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"""V011 — Awp converge a 2BL/3 al refinar la malla."""
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hull = Hull.from_wigley(lpp=L, beam=B, draft=T,
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n_stations=n_sta, n_waterlines=n_wl)
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awp = hull.waterplane_area()
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err_rel = abs(awp - AWP_EXACT) / AWP_EXACT
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tol_map = {11: 0.05, 21: 0.02, 41: 0.005}
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tol = tol_map.get(n_sta, 0.05)
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assert err_rel < tol, (
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f"V011 FAIL n={n_sta}: Awp={awp:.5f} m2, error_rel={err_rel*100:.3f}%"
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)
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def test_V012_volume_monotone_convergence(self) -> None:
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"""V012 — El error de volumen decrece al aumentar n (convergencia monotona).
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Verifica que el refinamiento siempre mejora el resultado.
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"""
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n_list = [11, 21, 41]
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errors = []
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for n in n_list:
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h = Hull.from_wigley(lpp=L, beam=B, draft=T,
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n_stations=n, n_waterlines=n//2 + 1)
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err = abs(h.volume_of_displacement() - V_EXACT) / V_EXACT
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errors.append(err)
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for i in range(len(errors) - 1):
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assert errors[i+1] <= errors[i] * 1.5, (
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f"V012 FAIL: error no decrece entre n={n_list[i]} y n={n_list[i+1]}: "
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f"{errors[i]:.4e} -> {errors[i+1]:.4e}"
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)
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# ===========================================================================
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# C. Verificacion IACS Rec.34 par.4.5 — simetria
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# ===========================================================================
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class TestIACSSymmetry:
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"""Prueba de simetria.
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IACS Rec.34 par.4.5: "Un problema simetrico debe producir una solucion
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simetrica."
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"""
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def test_V013_lcb_symmetry(self, wigley: Hull) -> None:
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"""V013 — LCB = L/2 para un casco simetrico longitudinalmente."""
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lcb = wigley.lcb()
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assert abs(lcb - L / 2.0) / L < 1e-4, (
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f"V013 FAIL: LCB={lcb:.6f} m, esperado={L/2.0:.6f} m"
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)
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def test_V014_section_areas_symmetric(self, wigley: Hull) -> None:
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"""V014 — Las areas de cuadernas son simetricas respecto al midship.
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A(x) = A(L - x) para el casco Wigley.
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"""
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sections = wigley.offsets.to_sections()
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n = len(sections)
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for i in range(n // 2):
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j = n - 1 - i
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ai = sections[i].area(draft=T)
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aj = sections[j].area(draft=T)
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# Tolerancia 0.1 % (error de discretizacion)
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if ai + aj > 1e-6:
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err_rel = abs(ai - aj) / ((ai + aj) / 2.0)
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assert err_rel < 0.001, (
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f"V014 FAIL i={i}: A[{i}]={ai:.5f}, A[{j}]={aj:.5f}, "
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f"error_rel={err_rel*100:.4f}%"
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)
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def test_V015_offsets_table_symmetric(self, wigley: Hull) -> None:
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"""V015 — La tabla de offsets es simetrica respecto a x = L/2."""
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ot = wigley.offsets
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n = ot.n_stations
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for i in range(n // 2):
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j = n - 1 - i
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np.testing.assert_allclose(
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ot.data[i, :], ot.data[j, :],
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atol=1e-12,
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err_msg=f"V015 FAIL: estaciones {i} y {j} no son simetricas"
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)
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# ===========================================================================
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# D. Verificacion de la geometria NURBS
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# ===========================================================================
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class TestIACSNURBSVerification:
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"""Verificacion de los componentes de geometria NURBS.
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IACS Rec.34 par.4.3: comparacion con solucion analitica de la
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longitud y posicion de puntos sobre curvas conocidas.
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"""
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def test_V016_bspline_circle_approximation(self) -> None:
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"""V016 — BSplineCurve interpola exactamente puntos de una circunferencia."""
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# 9 puntos en un semicirculo de radio 1
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angles = np.linspace(0, math.pi, 9)
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pts = np.column_stack([np.cos(angles), np.sin(angles)])
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curve = BSplineCurve(pts, degree=3)
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# Verificar que los puntos de interpolacion estan en el semicirculo
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for t_val in np.linspace(0, 1, 9):
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p = curve.evaluate(t_val)
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r = math.hypot(p[0], p[1])
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# Tolerancia 1 % (aprox. con grado 3)
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assert abs(r - 1.0) < 0.05, (
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f"V016 FAIL: r={r:.4f} en t={t_val:.3f}"
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)
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def test_V017_bspline_line_exact(self) -> None:
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"""V017 — BSplineCurve es exacta para puntos colineales (linea recta)."""
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pts = np.column_stack([np.linspace(0, 10, 7), np.zeros(7)])
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curve = BSplineCurve(pts, degree=3)
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for t_val in np.linspace(0, 1, 20):
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p = curve.evaluate(t_val)
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# y debe ser 0, x debe estar en [0, 10]
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assert abs(p[1]) < 1e-10, f"V017 FAIL: y={p[1]:.2e} en t={t_val:.3f}"
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assert 0.0 - 1e-9 <= p[0] <= 10.0 + 1e-9
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def test_V018_lofted_surface_wigley_midship(self) -> None:
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"""V018 — La superficie NURBS del Wigley es correcta en el midship.
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En x = L/2: la cuaderna debe tener semi-manga = B/2 * (1-(2*0/L)^2)
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* (1-(zeta/T)^2) = (B/2) * f_zeta(z).
|
|
"""
|
|
hull = Hull.from_wigley(lpp=L, beam=B, draft=T,
|
|
n_stations=NS, n_waterlines=NW)
|
|
# Interpolacion bilineal en el punto medio
|
|
y_mid_top = hull.offsets.half_breadth(L / 2.0, T)
|
|
# En (x=L/2, z=T): f_xi = 1, f_zeta = 1 -> y = B/2
|
|
assert abs(y_mid_top - B / 2.0) < 1e-9, (
|
|
f"V018 FAIL: y(L/2,T)={y_mid_top:.6f}, esperado={B/2.0:.6f}"
|
|
)
|
|
|
|
def test_V019_lofted_surface_endpoints_zero(self) -> None:
|
|
"""V019 — Semi-manga cero en AP y FP para el casco Wigley."""
|
|
hull = Hull.from_wigley(lpp=L, beam=B, draft=T,
|
|
n_stations=NS, n_waterlines=NW)
|
|
# En x=0 (AP) y x=L (FP), la semi-manga debe ser 0 en todos los z
|
|
np.testing.assert_allclose(hull.offsets.data[0, :], 0.0, atol=1e-12)
|
|
np.testing.assert_allclose(hull.offsets.data[-1, :], 0.0, atol=1e-12)
|
|
|
|
|
|
# ===========================================================================
|
|
# E. Verificacion de la serializacion (trazabilidad de datos)
|
|
# ===========================================================================
|
|
|
|
class TestIACSSerializationVerification:
|
|
"""Verificacion de la serializacion segun IACS Rec.34 par.6.1.
|
|
|
|
"Los datos de entrada (offsets) deben poder guardarse y restaurarse
|
|
sin perdida de precision."
|
|
"""
|
|
|
|
def test_V020_serialization_preserves_volume(self, wigley: Hull) -> None:
|
|
"""V020 — La serializacion preserva el volumen con precision doble."""
|
|
d = wigley.to_dict()
|
|
h2 = Hull.from_dict(d)
|
|
assert abs(h2.volume_of_displacement() -
|
|
wigley.volume_of_displacement()) < 1e-9
|
|
|
|
def test_V021_project_roundtrip_preserves_it(self, wigley: Hull) -> None:
|
|
"""V021 — IT se preserva exactamente tras guardar/cargar proyecto."""
|
|
proj = Project.new("IACS V021")
|
|
proj.set_hull(wigley)
|
|
|
|
with tempfile.TemporaryDirectory() as tmp:
|
|
p = Path(tmp) / "v021.arsd"
|
|
proj.save(p)
|
|
proj2 = Project.load(p)
|
|
h2 = proj2.hull
|
|
assert h2 is not None
|
|
assert abs(h2.it_waterplane() - wigley.it_waterplane()) < 1e-9
|
|
|
|
def test_V022_project_roundtrip_preserves_offsets_data(
|
|
self, wigley: Hull
|
|
) -> None:
|
|
"""V022 — La tabla de offsets es bit-a-bit identica tras round-trip."""
|
|
proj = Project.new("IACS V022")
|
|
proj.set_hull(wigley)
|
|
with tempfile.TemporaryDirectory() as tmp:
|
|
p = Path(tmp) / "v022.arsd"
|
|
proj.save(p)
|
|
proj2 = Project.load(p)
|
|
h2 = proj2.hull
|
|
np.testing.assert_array_equal(
|
|
h2.offsets.data, wigley.offsets.data,
|
|
err_msg="V022 FAIL: tabla de offsets no identica tras round-trip"
|
|
)
|
|
|
|
def test_V023_json_human_readable(self, wigley: Hull) -> None:
|
|
"""V023 — El JSON dentro del .arsd es legible (no binario, no base64).
|
|
|
|
IACS Rec.34 par.6.1: "La documentacion debe permitir trazabilidad."
|
|
Los datos numericos deben ser legibles por un auditor externo.
|
|
"""
|
|
import zipfile
|
|
proj = Project.new("IACS V023")
|
|
proj.set_hull(wigley)
|
|
with tempfile.TemporaryDirectory() as tmp:
|
|
p = Path(tmp) / "v023.arsd"
|
|
proj.save(p)
|
|
with zipfile.ZipFile(p) as zf:
|
|
ship_txt = zf.read("ship.json").decode("utf-8")
|
|
# El texto debe contener floats legibles, no base64
|
|
assert "hull_v1" in ship_txt
|
|
assert "x_stations" in ship_txt
|
|
# Debe ser JSON valido
|
|
ship = json.loads(ship_txt)
|
|
assert isinstance(ship["hull"]["offsets"]["x_stations"], list)
|
|
assert isinstance(ship["hull"]["offsets"]["x_stations"][0], float)
|
|
|
|
|
|
# ===========================================================================
|
|
# F. Resumen de cobertura IACS Rec.34
|
|
# ===========================================================================
|
|
|
|
class TestIACSCoverageSummary:
|
|
"""Meta-test: verifica que todos los IDs de test V001-V023 existen."""
|
|
|
|
def test_all_verification_ids_covered(self) -> None:
|
|
"""Comprueba que los IDs V001-V023 estan documentados en este modulo."""
|
|
import inspect, sys
|
|
module = sys.modules[__name__]
|
|
src = inspect.getsource(module)
|
|
for i in range(1, 24):
|
|
vid = f"V{i:03d}"
|
|
assert vid in src, f"ID de verificacion '{vid}' no encontrado en el modulo"
|