503e00bfc9
Geometría:
- BSplineCurve: interpolación scipy, arc_length, tangente, chord-length
- LoftedSurface: lofting de secciones → RectBivariateSpline bivariate
Core (casco Wigley como caso de prueba):
- Section: área, centroide_z, max_half_breadth, curva B-spline
- OffsetsTable: from_wigley(), to_sections(), interpolación xy
- Hull: volumen, Awp, LCB, VCB, Cb, Cm, Cp, desplazamiento, to_mesh()
UI:
- Viewer3DWidget (pyvistaqt.QtInteractor): casco Wigley por defecto
al arrancar, fondo navy, waterplane semi-transparente, fallback
graceful si PyVista no disponible
- MainWindow: Viewer3DWidget inyectado en viewport Perspectiva 3D
Tests: 39 nuevos tests, fórmulas analíticas Wigley verificadas (±1%)
V = 4BLT/9, Cb = 4/9, Awp = 2BL/3 (derivación correcta)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
171 lines
5.4 KiB
Python
171 lines
5.4 KiB
Python
"""
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OffsetsTable — tabla de offsets naval clásica.
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Estructura: filas = estaciones (x), columnas = líneas de agua (z).
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Valores: semi-manga y(x, z) en metros.
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Autor: Álvaro Romero
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Sprint 1 — AR-ShipDesign
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"""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Optional
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import numpy as np
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from arshipdesign.core.section import Section
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@dataclass
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class OffsetsTable:
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"""Tabla de offsets del casco.
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Atributos
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---------
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x_stations : np.ndarray, shape (n_sta,)
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Posiciones longitudinales [m] de cada estación, creciente.
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z_waterlines : np.ndarray, shape (n_wl,)
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Alturas de líneas de agua [m] desde la quilla, creciente.
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data : np.ndarray, shape (n_sta, n_wl)
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Semi-mangas y[i, j] en metros.
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y[i, j] = semi-manga en la estación x_stations[i], línea z_waterlines[j].
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station_labels : list[str]
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Etiquetas opcionales para las estaciones.
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lpp : float
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Eslora entre perpendiculares [m].
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beam : float
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Manga máxima [m].
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draft : float
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Calado de diseño [m].
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"""
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x_stations: np.ndarray
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z_waterlines: np.ndarray
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data: np.ndarray
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station_labels: list[str] = field(default_factory=list)
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lpp: float = 0.0
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beam: float = 0.0
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draft: float = 0.0
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def __post_init__(self) -> None:
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self.x_stations = np.asarray(self.x_stations, dtype=float)
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self.z_waterlines = np.asarray(self.z_waterlines, dtype=float)
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self.data = np.asarray(self.data, dtype=float)
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n_sta = len(self.x_stations)
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n_wl = len(self.z_waterlines)
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if self.data.shape != (n_sta, n_wl):
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raise ValueError(
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f"data.shape {self.data.shape} ≠ ({n_sta}, {n_wl})"
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)
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if not self.station_labels:
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self.station_labels = [str(i) for i in range(n_sta)]
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# ------------------------------------------------------------------
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# Fábrica: casco Wigley analítico
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# ------------------------------------------------------------------
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@classmethod
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def from_wigley(
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cls,
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lpp: float = 10.0,
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beam: float = 1.5,
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draft: float = 0.75,
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n_stations: int = 21,
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n_waterlines: int = 11,
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) -> "OffsetsTable":
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"""Genera tabla de offsets para el casco Wigley matemático.
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Fórmula analítica:
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y(x, z) = (B/2) · [1 − (2ξ/L)²] · [1 − (ζ/T)²]
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donde ξ ∈ [−L/2, L/2] y ζ ∈ [−T, 0].
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El AP corresponde a x=0, el FP a x=Lpp.
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La quilla está a z=0, la flotación de diseño a z=draft.
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"""
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# Posiciones longitudinales: 0 (AP) → Lpp (FP)
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x_sta = np.linspace(0.0, lpp, n_stations)
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# Líneas de agua: 0 (quilla) → draft (calado diseño)
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z_wl = np.linspace(0.0, draft, n_waterlines)
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# Convertir a coordenadas centradas en el midship
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xi = x_sta - lpp / 2.0 # ξ ∈ [-Lpp/2, Lpp/2]
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zeta = z_wl - draft # ζ ∈ [-T, 0]
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# Factores de forma
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f_xi = 1.0 - (2.0 * xi / lpp) ** 2 # (n_sta,)
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f_zeta = 1.0 - (zeta / draft) ** 2 # (n_wl,)
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# y[i, j] = B/2 · f_xi[i] · f_zeta[j]
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data = (beam / 2.0) * np.outer(f_xi, f_zeta)
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data = np.clip(data, 0.0, None) # evitar negativos por redondeo
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labels = [f"S{i}" for i in range(n_stations)]
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return cls(
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x_stations=x_sta,
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z_waterlines=z_wl,
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data=data,
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station_labels=labels,
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lpp=lpp,
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beam=beam,
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draft=draft,
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)
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# ------------------------------------------------------------------
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# Conversión a secciones
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# ------------------------------------------------------------------
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def to_sections(self) -> list[Section]:
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"""Convierte la tabla en una lista de objetos Section."""
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sections = []
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for i, x in enumerate(self.x_stations):
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sta = self.station_labels[i] if i < len(self.station_labels) else str(i)
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sec = Section(
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station=sta,
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x=float(x),
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half_breadths=self.data[i, :].copy(),
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z_positions=self.z_waterlines.copy(),
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label=f"x={x:.3f} m",
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)
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sections.append(sec)
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return sections
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# ------------------------------------------------------------------
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# Acceso
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# ------------------------------------------------------------------
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def half_breadth(self, x: float, z: float) -> float:
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"""Interpola la semi-manga en cualquier (x, z) [m]."""
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# Interpolar en x
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col_y = np.array([
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float(np.interp(x, self.x_stations, self.data[:, j]))
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for j in range(len(self.z_waterlines))
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])
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# Interpolar en z
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return float(np.interp(z, self.z_waterlines, col_y))
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@property
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def n_stations(self) -> int:
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return len(self.x_stations)
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@property
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def n_waterlines(self) -> int:
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return len(self.z_waterlines)
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@property
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def max_half_breadth(self) -> float:
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return float(self.data.max())
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# ------------------------------------------------------------------
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# Dunder
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# ------------------------------------------------------------------
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def __repr__(self) -> str:
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return (
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f"OffsetsTable(Lpp={self.lpp} m, B={self.beam} m, T={self.draft} m, "
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f"stations={self.n_stations}, waterlines={self.n_waterlines})"
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)
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