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>
305 lines
10 KiB
Python
305 lines
10 KiB
Python
"""
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Hull — modelo de casco naval con geometría NURBS y cálculos hidrostáticos básicos.
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El casco se representa como una LoftedSurface construida a partir de las secciones
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de una OffsetsTable. Los cálculos hidrostáticos usan la regla de Simpson sobre
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las secciones muestreadas para máxima compatibilidad con cualquier forma de casco.
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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 scipy.integrate import simpson
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from arshipdesign.core.offsets import OffsetsTable
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from arshipdesign.core.section import Section
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from arshipdesign.geometry.nurbs_surface import LoftedSurface
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@dataclass
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class Hull:
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"""Modelo geométrico del casco naval.
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Atributos
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---------
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name : str
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Nombre del casco / proyecto.
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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 en flotación [m].
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depth : float
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Puntal de trazado [m].
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draft : float
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Calado de diseño [m].
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offsets : OffsetsTable
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Tabla de offsets del casco.
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"""
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name: str
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lpp: float
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beam: float
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depth: float
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draft: float
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offsets: OffsetsTable
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_surface: Optional[LoftedSurface] = field(default=None, repr=False, compare=False)
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# ------------------------------------------------------------------
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# Fábricas
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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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name: str = "Wigley Hull",
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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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) -> "Hull":
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"""Crea un casco Wigley estándar.
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El casco Wigley tiene solución analítica exacta para sus
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hidrostáticos, lo que permite verificar los métodos numéricos.
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Fórmulas analíticas:
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Volumen de desplazamiento: V = (8/15) · B/2 · T · L/2
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LCB: en el midship (x = Lpp/2) por simetría
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Área plano de flotación (T): Awp = (4/3) · (B/2) · L
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(sólo la contribución f_xi: integral de 1-(2ξ/L)² dξ)
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"""
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offsets = OffsetsTable.from_wigley(
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lpp=lpp, beam=beam, draft=draft,
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n_stations=n_stations, n_waterlines=n_waterlines,
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)
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return cls(
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name=name,
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lpp=lpp,
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beam=beam,
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depth=draft, # Para Wigley depth = draft
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draft=draft,
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offsets=offsets,
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)
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# ------------------------------------------------------------------
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# Superficie NURBS (lazy)
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# ------------------------------------------------------------------
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@property
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def surface(self) -> LoftedSurface:
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"""LoftedSurface construida a partir de la tabla de offsets."""
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if self._surface is None:
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self._surface = self._build_surface()
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return self._surface
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def _build_surface(self) -> LoftedSurface:
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sections_data = []
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u_arr = self.offsets.x_stations / self.lpp # normalizar a [0,1]
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for i, u in enumerate(u_arr):
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pts = np.column_stack([
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self.offsets.data[i, :],
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self.offsets.z_waterlines,
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])
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sections_data.append((float(u), pts))
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n_sec = len(sections_data)
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deg_u = min(3, n_sec - 1)
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return LoftedSurface(sections_data, degree_u=deg_u, degree_v=3)
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# ------------------------------------------------------------------
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# Hidrostáticos
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# ------------------------------------------------------------------
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def sections_at_draft(self, draft: Optional[float] = None) -> list[Section]:
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"""Lista de secciones de la tabla de offsets."""
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return self.offsets.to_sections()
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def volume_of_displacement(self, draft: Optional[float] = None) -> float:
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"""Volumen de desplazamiento [m³] hasta *draft*.
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Integra el área de cada sección en la dirección x usando
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la regla de Simpson sobre todas las estaciones.
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"""
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T = draft if draft is not None else self.draft
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sections = self.offsets.to_sections()
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x = np.array([s.x for s in sections])
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areas = np.array([s.area(draft=T) for s in sections])
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if len(x) >= 3:
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vol = float(simpson(areas, x=x))
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else:
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vol = float(np.trapz(areas, x))
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return abs(vol)
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def waterplane_area(self, draft: Optional[float] = None) -> float:
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"""Área del plano de flotación [m²] al calado *draft*.
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Integra 2·y(x, z=draft) en la dirección x.
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"""
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T = draft if draft is not None else self.draft
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x = self.offsets.x_stations
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y_wl = np.array([
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self.offsets.half_breadth(xi, T) for xi in x
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])
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# Área = integral de 2·y(x) dx (ambas bandas)
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if len(x) >= 3:
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awp = float(simpson(2.0 * y_wl, x=x))
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else:
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awp = float(np.trapz(2.0 * y_wl, x))
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return abs(awp)
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def lcb(self, draft: Optional[float] = None) -> float:
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"""Centro longitudinal de carena (LCB) [m desde AP].
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Momento de primer orden del volumen / volumen total.
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"""
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T = draft if draft is not None else self.draft
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sections = self.offsets.to_sections()
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x = np.array([s.x for s in sections])
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areas = np.array([s.area(draft=T) for s in sections])
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if len(x) >= 3:
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vol = float(simpson(areas, x=x))
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moment = float(simpson(areas * x, x=x))
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else:
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vol = float(np.trapz(areas, x))
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moment = float(np.trapz(areas * x, x))
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if abs(vol) < 1e-12:
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return self.lpp / 2.0
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return moment / vol
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def vcb(self, draft: Optional[float] = None) -> float:
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"""Centro vertical de carena (VCB / KB) [m sobre la quilla]."""
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T = draft if draft is not None else self.draft
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sections = self.offsets.to_sections()
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x = np.array([s.x for s in sections])
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areas = np.array([s.area(draft=T) for s in sections])
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cz = np.array([s.centroid_z(draft=T) for s in sections])
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if len(x) >= 3:
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vol = float(simpson(areas, x=x))
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moment_z = float(simpson(areas * cz, x=x))
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else:
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vol = float(np.trapz(areas, x))
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moment_z = float(np.trapz(areas * cz, x))
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if abs(vol) < 1e-12:
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return T / 2.0
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return moment_z / vol
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def block_coefficient(self, draft: Optional[float] = None) -> float:
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"""Coeficiente de bloque Cb = V / (Lpp · B · T)."""
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T = draft if draft is not None else self.draft
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V = self.volume_of_displacement(T)
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return V / (self.lpp * self.beam * T)
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def midship_coefficient(self, draft: Optional[float] = None) -> float:
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"""Coeficiente de cuaderna maestra Cm = Am / (B · T)."""
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T = draft if draft is not None else self.draft
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sections = self.offsets.to_sections()
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# Cuaderna en el midship
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x_mid = self.lpp / 2.0
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areas_at_mid = [s.area(draft=T) for s in sections if abs(s.x - x_mid) < 1e-6]
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if not areas_at_mid:
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# Interpolar
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x_arr = np.array([s.x for s in sections])
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a_arr = np.array([s.area(draft=T) for s in sections])
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am = float(np.interp(x_mid, x_arr, a_arr))
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else:
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am = areas_at_mid[0]
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return am / (self.beam * T)
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def prismatic_coefficient(self, draft: Optional[float] = None) -> float:
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"""Coeficiente prismático Cp = V / (Am · Lpp)."""
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T = draft if draft is not None else self.draft
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V = self.volume_of_displacement(T)
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Am = self.midship_coefficient(T) * self.beam * T
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if Am < 1e-12:
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return 0.0
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return V / (Am * self.lpp)
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def displacement_tonnes(
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self, draft: Optional[float] = None, rho: float = 1025.0
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) -> float:
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"""Desplazamiento en toneladas métricas (agua salada por defecto).
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Parámetros
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----------
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rho : float
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Densidad del agua [kg/m³]. Default 1025 kg/m³ (agua salada).
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"""
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V = self.volume_of_displacement(draft)
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return V * rho / 1000.0
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# ------------------------------------------------------------------
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# Malla PyVista para visualización 3D
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# ------------------------------------------------------------------
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def to_mesh(self, n_u: int = 40, n_v: int = 20) -> "pyvista.PolyData":
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"""Genera una malla PyVista del casco (ambas bandas).
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Requiere PyVista instalado. Retorna un PolyData triangulado.
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"""
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try:
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import pyvista as pv
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except ImportError as exc:
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raise ImportError("PyVista no está instalado") from exc
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surf = self.surface
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u_range = surf.u_range
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u_arr = np.linspace(u_range[0], u_range[1], n_u)
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v_arr = np.linspace(0.0, 1.0, n_v)
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uu, vv = np.meshgrid(u_arr, v_arr, indexing="ij") # (n_u, n_v)
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# Evaluar (y, z) en la malla
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y_mat = surf._spline_y(u_arr, v_arr) # (n_u, n_v)
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z_mat = surf._spline_z(u_arr, v_arr) # (n_u, n_v)
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# x real desde parámetro u
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x_mat = uu * self.lpp
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# Banda de estribor (y > 0)
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pts_stbd = np.stack([
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x_mat.ravel(), y_mat.ravel(), z_mat.ravel()
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], axis=1)
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# Banda de babor (y < 0)
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pts_port = np.stack([
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x_mat.ravel(), -y_mat.ravel(), z_mat.ravel()
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], axis=1)
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# Unir ambas bandas
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all_pts = np.vstack([pts_stbd, pts_port])
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# Construir caras de la malla estructurada
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faces = []
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offset = n_u * n_v
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for band in [0, offset]:
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for i in range(n_u - 1):
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for j in range(n_v - 1):
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p0 = band + i * n_v + j
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p1 = band + (i + 1) * n_v + j
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p2 = band + (i + 1) * n_v + (j + 1)
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p3 = band + i * n_v + (j + 1)
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faces.extend([4, p0, p1, p2, p3])
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faces_arr = np.array(faces, dtype=int)
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mesh = pv.PolyData(all_pts, faces_arr)
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return mesh.triangulate()
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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"Hull({self.name!r}, Lpp={self.lpp} m, B={self.beam} m, "
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f"T={self.draft} m)"
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)
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