dam-break-landslide.py

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# This file is part of the ExaHyPE2 project. For conditions of distribution and
# use, please see the copyright notice at www.peano-framework.org
import os
import sys
import math
 
import peano4
import exahype2
 
sys.path.insert(0, os.path.abspath(".."))
from PDE import *
from Rusanov import *
 
# https://arxiv.org/pdf/2106.13572
# https://brgm.hal.science/hal-03974933/document
initial_conditions = """
  // Determine the position of the material region
  bool insideTheSquare{true};
  insideTheSquare &= (x[0] >= (initCenterX - squareSide * 0.5));
  insideTheSquare &= (x[0] <= (initCenterX + squareSide * 0.5));
  insideTheSquare &= (x[1] >= (initCenterY - squareSide * 0.5));
  insideTheSquare &= (x[1] <= (initCenterY + squareSide * 0.5));
 
  // Assign initial conditions based on the position of the material region
  Q[Shortcuts::h]       = (insideTheSquare ? initHeight : 0.0);
  Q[Shortcuts::hu]      = 0.0;
  Q[Shortcuts::hu + 1]  = 0.0;
  Q[Shortcuts::z]       = (DomainSize[0] - x[0]) * slopeAngleTan;
"""
 
boundary_conditions = """
  Qoutside[Shortcuts::h]  = Qinside[Shortcuts::h];
  Qoutside[Shortcuts::hu] = -Qinside[Shortcuts::hu];
  Qoutside[Shortcuts::hv] = -Qinside[Shortcuts::hv];
  Qoutside[Shortcuts::z]  = Qinside[Shortcuts::z];
"""
 
refinement_criterion = """
  auto result = ::exahype2::RefinementCommand::Keep;
  return result;
"""
 
limiting_criterion = """
  const double Qh{Q[0]};
  if (!std::isfinite(Qh)) {
    return false;
  }
 
  // Try not to limit untouched cells initialised with 0.0
  if ((Qh < hThreshold) and (Qh > -hThreshold)) {
    return true;
  }
 
  // Low values of h are resolved on FV layer
  if (Qh <= -hThreshold) {
    return false;
  }
 
  // Limit close to boundaries
  // x - 0
  if (std::abs(x[0] - DomainOffset[0]) < h[0] or std::abs(x[0] - DomainOffset[0] - DomainSize[0]) < h[0]) {
    return false;
  }
  // y - 1
  if (std::abs(x[1] - DomainOffset[1]) < h[1] or std::abs(x[1] - DomainOffset[1] - DomainSize[1]) < h[1]) {
    return false;
  }
 
  return true;
"""
 
adjust_solution = r"""
  if (Q[Shortcuts::h] < hThreshold) {
    Q[Shortcuts::h]  = std::fmax(0.0, Q[Shortcuts::h]);
    Q[Shortcuts::hu] = 0.0;
    Q[Shortcuts::hv] = 0.0;
  }
"""
 
parser = exahype2.ArgumentParser()
parser.set_defaults(
    min_depth=3,
    end_time=1.0,
    time_step_relaxation=0.45,
    degrees_of_freedom=7,
)
args = parser.parse_args()
 
if args.build_mode == "Debug":
    args.end_time = 0.1
 
problem_constants = {
    "g": [9.81, "double"],
    "phi": [25.0, "double"],
    "invXi": [1.0 / 200.0, "double"],
    "slopeAngleTan": [math.tan(math.pi / 180.0 * 35.0), "double"],
    "initCenterX": [0.15, "double"],
    "initCenterY": [0.79, "double"],
    "squareSide": [0.1, "double"],
    "initHeight": [0.1, "double"],
}
problem_constants["hThreshold"] = [problem_constants["initHeight"][0] * 1e-3, "double"]
problem_constants["mu"] = [
    math.tan(math.pi / 180.0 * problem_constants["phi"][0]),
    "double",
]
 
size = [1.58, 1.58]
max_h = 1.1 * min(size) / (3.0**args.min_depth)
min_h = max_h * 3.0 ** (-args.amr_levels)
dg_order = args.degrees_of_freedom - 1
 
regular_solver = exahype2.solvers.aderdg.GlobalAdaptiveTimeStep(
    name="ADERDGSolver",
    order=dg_order,
    unknowns={"h": 1, "hu": 1, "hv": 1, "z": 1},
    auxiliary_variables=0,
    min_cell_h=min_h,
    max_cell_h=max_h,
    time_step_relaxation=0.5,
)
 
regular_solver.set_implementation(
    initial_conditions=initial_conditions,
    boundary_conditions=boundary_conditions,
    refinement_criterion=refinement_criterion,
    flux=flux,
    ncp=nonconservative_product,
    max_eigenvalue=eigenvalue
    + stiff_eigenvalue
    + """
  return std::fmax(sFlux, h[normal] * sSource);
""",
    diffusive_source_term=stiff_source_term_aderdg,
    riemann_solver=rusanov_aderdg,
)
 
regular_solver.set_plotter(args.plotter)
regular_solver.add_kernel_optimisations(
    is_linear=False,
    polynomials=exahype2.solvers.aderdg.Polynomials.Gauss_Legendre,
)
 
limiting_solver = exahype2.solvers.fv.godunov.GlobalAdaptiveTimeStep(
    name="FVSolver",
    patch_size=dg_order * 2 + 1,
    unknowns={"h": 1, "hu": 1, "hv": 1},
    auxiliary_variables={"z": 1},
    min_volume_h=min_h,
    max_volume_h=max_h,
    time_step_relaxation=0.5,
)
 
limiting_solver.set_implementation(
    initial_conditions=initial_conditions,
    boundary_conditions=boundary_conditions,
    refinement_criterion=refinement_criterion,
    flux=flux,
    max_eigenvalue=eigenvalue
    + """
  return sFlux;
""",
    ncp=nonconservative_product + stiff_nonconservative_product,
    riemann_solver=rusanov_fv,
    diffusive_source_term=stiff_source_term_fv,
    adjust_solution=adjust_solution,
)
 
limiting_solver.set_plotter(args.plotter)
 
limiter_solver = exahype2.solvers.limiting.PosterioriLimiting(
    name="LimiterSolver",
    regular_solver=regular_solver,
    limiting_solver=limiting_solver,
    number_of_dmp_observables=3,
    dmp_relaxation_parameter=0.20,  # MD 3: BOTH FRICTIONS: 0.2, ONLY ONE FRICTION TERM OR ZERO: 0.1,
    dmp_differences_scaling=1e-3,  # MD 3: BOTH FRICTIONS: 1e-3, ONLY ONE FRICTION TERM OR ZERO: 5e-4
    physical_admissibility_criterion=limiting_criterion,
)
 
project = exahype2.Project(
    namespace=["applications", "exahype2", "swe"],
    project_name="DamBreakLandslide",
    directory=".",
    executable="ExaHyPE-ShallowWater",
)
 
project.add_solver(regular_solver)
project.add_solver(limiting_solver)
project.add_solver(limiter_solver)
 
if args.number_of_snapshots <= 0:
    time_in_between_plots = 0.0
else:
    time_in_between_plots = args.end_time / args.number_of_snapshots
    project.set_output_path(args.output)
 
project.set_global_simulation_parameters(
    dimensions=2,
    size=size,
    offset=[0.0, 0.0],
    min_end_time=args.end_time,
    max_end_time=args.end_time,
    first_plot_time_stamp=0.0,
    time_in_between_plots=time_in_between_plots,
    periodic_BC=[
        args.periodic_boundary_conditions_x,
        args.periodic_boundary_conditions_y,
    ],
)
 
project.set_load_balancer(
    f"new ::exahype2::LoadBalancingConfiguration({args.load_balancing_quality}, 1, {args.trees}, {args.trees})"
)
project.set_Peano4_installation(
    "../../../../", mode=peano4.output.string_to_mode(args.build_mode)
)
project = project.generate_Peano4_project(verbose=False)
for const_name, const_info in problem_constants.items():
    const_val, const_type = const_info
    project.constants.export_constexpr_with_type(const_name, str(const_val), const_type)
project.output.makefile.set_target_device(args.target_device)
project.set_fenv_handler(args.fpe)
project.build(make=True, make_clean_first=True, throw_away_data_after_build=True)