pyopensn.solver.PowerIterationKEigenSolver
- class pyopensn.solver.PowerIterationKEigenSolver
Power iteration k-eigenvalue solver.
Wrapper of
opensn::PowerIterationKEigenSolver.- Advance(self: pyopensn.solver.Solver) None
Advance the solver by one step.
Changes made to the problem since the last step are checked as in
Execute.Initializemust be called first. Solver classes that do not implement stepping leave the state unchanged and log thatAdvanceis unsupported.For MPI transport solvers, this is a collective operation and must be called on all ranks.
- ComputeBalanceTable(self: pyopensn.solver.PowerIterationKEigenSolver) dict
Compute and return the global balance table using the solver’s normalization. This is a collective operation and must be called on all ranks.
- Returns:
Dictionary with the following entries:
absorption_rate: Global absorption rate, approximatelyintegral sigma_a * phi dVsummed over groups and the full domain.production_rate: Global volumetric production/source rate used by the solver, approximatelyintegral Q dVsummed over groups and the full domain.inflow_rate: Global incoming boundary contribution integrated over incoming angular flux on boundaries.outflow_rate: Global outgoing boundary contribution accumulated from face outflow tallies.balance: Rate balance,production_rate + inflow_rate - absorption_rate - outflow_rate.
- Return type:
dict
Notes
For k-eigenvalue balance reporting, this solver scales the production term by
1 / k_effbefore forming bothproduction_rateandbalance.
- Execute(self: pyopensn.solver.Solver) None
Execute the solver.
The problem’s current state and the solver’s requirements are checked first, so changes made to the problem after
Initialize(for example a mode switch orSetXSMap) are validated before they are used.Initializemust be called beforeExecute.For MPI transport solvers, this is a collective operation and must be called on all ranks.
- GetEigenvalue(self: pyopensn.solver.PowerIterationKEigenSolver) float
Return the current k-eigenvalue.
- GetNumPowerIterations(self: pyopensn.solver.PowerIterationKEigenSolver) int
Return the number of completed power iterations.
- GetNumSweeps(self: pyopensn.solver.PowerIterationKEigenSolver) int
Return the total number of transport sweeps applied by all WGS solvers.
- Initialize(self: pyopensn.solver.Solver) None
Initialize the solver.
Solvers check that the problem is in a supported state (for example, steady-state mode without external sources for the k-eigenvalue solvers) and raise
ValueErrorotherwise. Setup and post-setup validation must both succeed. CallingInitializeagain clears the previous initialized state first.For MPI transport solvers, this is a collective operation and must be called on all ranks.
- __init__(self: pyopensn.solver.PowerIterationKEigenSolver, **kwargs) None
Construct a power iteration k-eigen solver.
- Parameters:
problem (pyopensn.solver.DiscreteOrdinatesProblem) – Existing DiscreteOrdinatesProblem instance.
acceleration (pyopensn.solver.DiscreteOrdinatesKEigenAcceleration) – Optional DiscreteOrdinatesKEigenAcceleration instance for acceleration. It must be created for the same
problem.Initialize()checks the requirements of the acceleration method against the problem and raises aValueErrorlisting every violation.max_iters (int, default = 1000) – Maximum power iterations allowed.
k_tol (float, default = 1.0e-10) – Tolerance on the relative change of the k-eigenvalue between power iterations. The iteration converges when the change is below
k_tolin two consecutive iterations. Values below1.0e-12are treated as1.0e-12.reset_phi0 (bool, default=True) – If true, reinitializes scalar fluxes to 1.0.
Notes
If the problem was constructed with
options={'read_restart_path': ...}, restart data is read duringInitialize(). If it was constructed withoptions={'restart_writes_enabled': True, ...}, timed restart dumps may be written during the outer iteration loop and a final restart dump is written when execution completes.