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Shallow-water dam break

The shallow-water dam break: still water at two depths that a removed dam separated at the middle.

  • Name: shallow_water
  • Field: physics/fluids
  • Formalism: ordinary differential equations
  • References: Stoker 1957; LeVeque 2002

Factory

@register_model(
    field='physics/fluids',
    tags=('field', 'waves', 'shocks', 'conservation law', 'finite volume', 'pde'),
    references=('Stoker 1957', 'LeVeque 2002'),
    defaults={'until': 0.5, 'dt': 0.05, 'solver': SSPRKSolver()},
)
def shallow_water(
    n: int = 400,
    *,
    length: float = 10.0,
    upstream: float = 2.0,
    downstream: float = 1.0,
    g: float = 9.81,
) -> System:
    """Return the shallow-water dam break: still water at two depths that a removed dam separated at the middle.

    A shock runs downstream and a rarefaction upstream, with the depth and the discharge conserved by finite volumes
    and open edges.

    Args:
        n:
            The number of cells.

        length:
            The length of the channel.

        upstream:
            The depth upstream of the dam.

        downstream:
            The depth downstream of the dam.

        g:
            The gravitational acceleration.

    Returns:
        system:
            The model, with the depth `channel.h` and the discharge `channel.q`.

    Examples:
        >>> from skcomplex.models.physics.fluids import shallow_water
        >>> float(shallow_water(10).elements[0].values['h'][0])
        2.0
    """
    depth = np.where(np.arange(n) < n // 2, upstream, downstream).astype(float)
    space = LatticeSpace(n, spacing=length / n)
    values = {'h': depth, 'q': np.zeros(n), 'g': g}
    boundary = {'h': 'zero-flux', 'q': 'zero-flux'}
    field = FieldElement(
        'channel',
        element=ShallowWaterElement,
        space=space,
        boundary=boundary,
        values=values,
        discretization='finite-volume',
    )
    mass = ConservationInteraction('mass', target='channel', state='h', flux=lambda s: s.target.q)
    momentum = ConservationInteraction(
        'momentum',
        target='channel',
        state='q',
        flux=lambda s: s.target.q**2 / s.target.h + s.target.g * s.target.h**2 / 2,
    )
    return System(elements=[field], interactions=[mass, momentum])

Components

class ShallowWaterElement(Element):
    """Site of a channel of shallow water, with the depth `h` and the discharge `q` per unit width.

    The mass `h` and the momentum `q` are conserved by two conservation interactions, with the fluxes `q` and
    `q^2 / h + g h^2 / 2`, which form one hyperbolic system.

    Args:
        label:
            The label of the site.

        visual:
            How the site is drawn, or `None` for none.

        h:
            The initial depth.

        q:
            The initial discharge.

        g:
            The gravitational acceleration.

    Examples:
        >>> from skcomplex.models.physics.fluids import ShallowWaterElement
        >>> ShallowWaterElement('site', h=2.0).h
        2.0
    """

    def __init__(
        self,
        label: str,
        visual: VisualSpec | None = None,
        *,
        h: Annotated[float, StateSpec(domain=RealSet.open(0, oo))] = 1.0,
        q: Annotated[float, StateSpec()] = 0.0,
        g: Annotated[float, ParameterSpec()] = 9.81,
    ) -> None:
        super().__init__(label, visual=visual)
        self.h = h
        self.q = q
        self.g = g

class ConservationInteraction(Interaction):
    """Conservation law `du/dt + divergence(flux(ns)) = source(ns)` of a state `u` of a field.

    The flux is one expression for a field of one dimension, or one expression per dimension, of the states of the
    field, and the interaction lowers it to a finite-volume flux law with a slope limiter and a numerical flux, or,
    without a numerical flux, to the rate `-divergence(flux)` that the field discretizes by its own operators, as a
    spectral or finite-difference field does. Without a source the total of the state on a periodic field stays
    constant. The conservation laws of several states of one field form one system, whose numerical flux reads the
    wave speeds of all of them, and a flux may read parameters that vary across the cells. A flux or a source function
    takes the namespace of the interaction, with the namespace `target` of the field, the time `t`, and the symbols of
    the parameters a subclass declares.

    Args:
        label:
            The label of the interaction, unique among the parts of its system.

        target:
            The path of the field whose state is conserved.

        state:
            The name of the conserved state of the field.

        flux:
            A function of the namespace that returns the flux, or one flux per dimension.

        source:
            A function of the namespace that returns the source, or `None` for none.

        limiter:
            The slope limiter of the reconstruction, `'minmod'`, `'van-leer'`, or `None` for first order.

        riemann:
            The numerical flux of a finite-volume field, `'rusanov'` or `'godunov'`, the exact solver for one state, or
            `None` for the divergence of the flux on a field of another discretization.

        sources:
            The paths of other elements the flux and the source read, as the namespaces `sources`. A field over the
            position lattice of a target on a phase space is read broadcast along the class axes.

    Raises:
        ValidationError:
            The state is not a name, a function is not callable, or the limiter or the numerical flux is unknown.

    Examples:
        >>> from typing import Annotated
        >>> import numpy as np
        >>> from skcomplex.core.elements import Element, FieldElement
        >>> from skcomplex.core.interactions import ConservationInteraction
        >>> from skcomplex.core.spaces import LatticeSpace
        >>> from skcomplex.core.system import System
        >>> from skcomplex.engine.runtime import Simulation
        >>> from skcomplex.specs import StateSpec
        >>> class CellElement(Element):
        ...     def __init__(self, label, u: Annotated[float, StateSpec()] = 0.0):
        ...         super().__init__(label)
        ...         self.u = u
        >>> space = LatticeSpace((50,), spacing=0.1, boundary='periodic')
        >>> values = {'u': 1.0 + np.sin(2 * np.pi * np.arange(50) / 50)}
        >>> volumes = 'finite-volume'
        >>> field = FieldElement('wave', element=CellElement, space=space, values=values, discretization=volumes)
        >>> burgers = ConservationInteraction('burgers', target='wave', state='u', flux=lambda s: s.target.u**2 / 2)
        >>> system = System(elements=[field], interactions=[burgers])
        >>> trajectory = Simulation(system, dt=0.01).check().prepare().run(until=0.5).trajectory_
        >>> round(float(trajectory.values('wave.u')[-1].sum()), 6)
        50.0
    """

    def __init__(
        self,
        label: str,
        *,
        target: Annotated[str, RoleSpec()],
        state: str = 'u',
        flux: Callable[[SimpleNamespace], object] | None = None,
        source: Callable[[SimpleNamespace], object] | None = None,
        limiter: str | None = 'minmod',
        riemann: str | None = 'rusanov',
        sources: Annotated[Sequence[str], RoleSpec(variadic=True)] = (),
    ) -> None:
        super().__init__(label)
        self.target = target
        self.state = state
        self.flux = flux
        self.source = source
        self.limiter = limiter
        self.riemann = riemann
        self.sources = sources

    def _check(self) -> None:
        """Raise an error for a state that is not a name, a function that is not callable, or an unknown scheme.

        Raises:
            ValidationError:
                The type declares states, the state is not a name, a function is not callable, or the limiter or the
                numerical flux is unknown.
        """
        super()._check()
        if not isinstance(self.state, str) or not self.state.isidentifier():
            error_msg = f'{type(self).__name__} {self.label!r} conserves the state {self.state!r}, which is no name.'
            raise ValidationError(error_msg)
        for name in ('flux', 'source'):
            value = getattr(self, name)
            if value is not None and not callable(value):
                error_msg = f'The {name} of {self.label!r} is {value!r}. Give a function of the namespace.'
                raise ValidationError(error_msg)
        if self.limiter not in LIMITERS:
            error_msg = f'Unknown limiter {self.limiter!r} of {self.label!r}. Use minmod, van-leer, or None.'
            raise ValidationError(error_msg)
        if self.riemann not in RIEMANN_SOLVERS:
            error_msg = f'Unknown numerical flux {self.riemann!r} of {self.label!r}. Use rusanov, godunov, or None.'
            raise ValidationError(error_msg)

    def _get_flux(self, namespace: SimpleNamespace) -> object:
        """Return the flux, or `None` for none, the hook a subclass overrides to derive it from its arguments."""
        return None if self.flux is None else self.flux(namespace)

    def _get_transport_laws(self, namespace: SimpleNamespace) -> list[BasePart]:
        """Return the laws of the divergence of the flux, the hook a subclass overrides to lower its own flux."""
        flux = self._get_flux(namespace)
        if flux is None:
            return []
        state = getattr(self._get_member(namespace, 'target'), self.state)
        if self.riemann is None:
            components = list(flux) if isinstance(flux, FreeModuleElement | list | tuple) else [flux]
            return [RateLaw(state, -divergence(components))]
        return [FluxLaw(state, flux, limiter=self.limiter, riemann=self.riemann)]

    def _get_laws(self, namespace: SimpleNamespace) -> list[BasePart]:
        """Return the laws of the divergence of the flux and the rate of the source.

        Args:
            namespace:
                The namespace of the symbols the laws can use, with the namespace of the field.

        Returns:
            laws:
                The flux law, and the rate law of the source when there is one.
        """
        laws = self._get_transport_laws(namespace)
        if self.source is not None:
            laws.append(RateLaw(getattr(self._get_member(namespace, 'target'), self.state), self.source(namespace)))
        return laws

Equations

channel.h[i]: diff(h_channel(t), t) == 0
channel.q[i]: diff(q_channel(t), t) == 0