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1 : //* This file is part of the MOOSE framework 2 : //* https://mooseframework.inl.gov 3 : //* 4 : //* All rights reserved, see COPYRIGHT for full restrictions 5 : //* https://github.com/idaholab/moose/blob/master/COPYRIGHT 6 : //* 7 : //* Licensed under LGPL 2.1, please see LICENSE for details 8 : //* https://www.gnu.org/licenses/lgpl-2.1.html 9 : 10 : #include "FunctionIC.h" 11 : #include "Function.h" 12 : 13 : registerMooseObject("MooseApp", FunctionIC); 14 : 15 : InputParameters 16 53021 : FunctionIC::validParams() 17 : { 18 53021 : InputParameters params = InitialCondition::validParams(); 19 53021 : params.addRequiredParam<FunctionName>("function", "The initial condition function."); 20 : 21 53021 : params.addClassDescription("An initial condition that uses a normal function of x, y, z to " 22 : "produce values (and optionally gradients) for a field variable."); 23 53021 : params.addParam<Real>("scaling_factor", 1, "Scaling factor to apply on the function"); 24 : 25 53021 : return params; 26 0 : } 27 : 28 12666 : FunctionIC::FunctionIC(const InputParameters & parameters) 29 : : InitialCondition(parameters), 30 12666 : _func(getFunction("function")), 31 25328 : _scaling(getParam<Real>("scaling_factor")) 32 : { 33 12662 : } 34 : 35 : Real 36 5958870 : FunctionIC::value(const Point & p) 37 : { 38 5958870 : return _scaling * _func.value(_t, p); 39 : } 40 : 41 : RealGradient 42 31380 : FunctionIC::gradient(const Point & p) 43 : { 44 31380 : return _scaling * _func.gradient(_t, p); 45 : } 46 : 47 : const FunctionName 48 0 : FunctionIC::functionName() const 49 : { 50 0 : return _func.name(); 51 : }