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Create a function to perform baseline correction on acceleration time…
… histories (closes idaholab#296)
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/*************************************************/ | ||
/* DO NOT MODIFY THIS HEADER */ | ||
/* */ | ||
/* MASTODON */ | ||
/* */ | ||
/* (c) 2015 Battelle Energy Alliance, LLC */ | ||
/* ALL RIGHTS RESERVED */ | ||
/* */ | ||
/* Prepared by Battelle Energy Alliance, LLC */ | ||
/* With the U. S. Department of Energy */ | ||
/* */ | ||
/* See COPYRIGHT for full restrictions */ | ||
/*************************************************/ | ||
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// This code was implemented in collaboration with Christopher J. Wong | ||
// ([email protected]) from the University of Utah. | ||
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#pragma once | ||
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// MOOSE includes | ||
#include "Function.h" | ||
#include "LinearInterpolation.h" | ||
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// Forward Declarations | ||
class BaselineCorrection; | ||
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/** | ||
* Applies a baseline correction to an accceleration time history using least squares polynomial | ||
* fits and outputs the adjusted acceleration with linear interpolation. | ||
*/ | ||
class BaselineCorrection : public Function | ||
{ | ||
public: | ||
static InputParameters validParams(); | ||
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BaselineCorrection(const InputParameters & parameters); | ||
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virtual Real value(Real t, const Point & /*P*/) const override; | ||
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protected: | ||
/// Newmark integration parameters | ||
const Real & _gamma; | ||
const Real & _beta; | ||
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/// order used for the least squares polynomial fit | ||
unsigned int _order; | ||
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/// acceleration time history variables from input | ||
std::vector<Real> _time; | ||
std::vector<Real> _accel; | ||
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/// adjusted (corrected) acceleration ordinates | ||
std::vector<Real> _adj_accel; | ||
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/// object to output linearly interpolated corrected acceleration ordinates | ||
std::unique_ptr<LinearInterpolation> _linear_interp; | ||
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/// function value scale factor | ||
const Real & _scale_factor; | ||
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private: | ||
/// Applies baseline correction to raw acceleration time history | ||
void applyCorrection(); | ||
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/// Reads and builds data from supplied CSV file | ||
void buildFromFile(); | ||
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/// Builds data from pairs of `time_values` and `acceleration_values' | ||
void buildFromXandY(); | ||
}; |
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/*************************************************/ | ||
/* DO NOT MODIFY THIS HEADER */ | ||
/* */ | ||
/* MASTODON */ | ||
/* */ | ||
/* (c) 2015 Battelle Energy Alliance, LLC */ | ||
/* ALL RIGHTS RESERVED */ | ||
/* */ | ||
/* Prepared by Battelle Energy Alliance, LLC */ | ||
/* With the U. S. Department of Energy */ | ||
/* */ | ||
/* See COPYRIGHT for full restrictions */ | ||
/*************************************************/ | ||
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// This code was implemented in collaboration with Christopher J. Wong | ||
// ([email protected]) from the University of Utah. | ||
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#pragma once | ||
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// LIBMESH includes | ||
#include "DenseMatrix.h" | ||
#include "libmesh/dense_vector.h" | ||
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/** | ||
* This namespace contains the functions used for the calculations corresponding | ||
* to the time history adjustment procedure in BaselineCorrection | ||
**/ | ||
namespace BaselineCorrectionUtils | ||
{ | ||
/// Evaluates an integral over a single time step with Newmark-beta method | ||
/// Also is used as simple trapezoidal rule when gamma = 0.5. | ||
Real newmarkGammaIntegrate(const Real & u_ddot_old, | ||
const Real & u_ddot, | ||
const Real & u_dot_old, | ||
const Real & gamma, | ||
const Real & dt); | ||
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/// Evaluates a double integral over a single time step with Newmark-beta method | ||
Real newmarkBetaIntegrate(const Real & u_ddot_old, | ||
const Real & u_ddot, | ||
const Real & u_dot_old, | ||
const Real & u_old, | ||
const Real & beta, | ||
const Real & dt); | ||
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/// Solves linear normal equation for minimum acceleration square error | ||
DenseVector<Real> getAccelerationFitCoeffs(unsigned int order, | ||
const std::vector<Real> & accel, | ||
const std::vector<Real> & t, | ||
const unsigned int & num_steps, | ||
const Real & gamma); | ||
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/// Solves linear normal equation for minimum velocity square error | ||
DenseVector<Real> getVelocityFitCoeffs(unsigned int order, | ||
const std::vector<Real> & accel, | ||
const std::vector<Real> & vel, | ||
const std::vector<Real> & t, | ||
const unsigned int & num_steps, | ||
const Real & beta); | ||
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/// Solves linear normal equation for minimum displacement square error | ||
DenseVector<Real> getDisplacementFitCoeffs(unsigned int order, | ||
const std::vector<Real> & disp, | ||
const std::vector<Real> & t, | ||
const unsigned int & num_steps); | ||
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/// Evaluates the least squares polynomials over at a single time step | ||
std::vector<Real> computePolynomials(unsigned int order, | ||
const DenseVector<Real> & coeffs, | ||
const Real & t); | ||
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} // namespace BaselineCorrectionUtils |
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/*************************************************/ | ||
/* DO NOT MODIFY THIS HEADER */ | ||
/* */ | ||
/* MASTODON */ | ||
/* */ | ||
/* (c) 2015 Battelle Energy Alliance, LLC */ | ||
/* ALL RIGHTS RESERVED */ | ||
/* */ | ||
/* Prepared by Battelle Energy Alliance, LLC */ | ||
/* With the U. S. Department of Energy */ | ||
/* */ | ||
/* See COPYRIGHT for full restrictions */ | ||
/*************************************************/ | ||
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// This code was implemented in collaboration with Christopher J. Wong | ||
// ([email protected]) from the University of Utah. | ||
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// MASTODON includes | ||
#include "BaselineCorrection.h" | ||
#include "BaselineCorrectionUtils.h" | ||
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// MOOSE includes | ||
#include "DelimitedFileReader.h" | ||
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registerMooseObject("MastodonApp", BaselineCorrection); | ||
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InputParameters | ||
BaselineCorrection::validParams() | ||
{ | ||
InputParameters params = Function::validParams(); | ||
params.addClassDescription("Applies a baseline correction to an accceleration time history " | ||
"using least squares polynomial fits and outputs the adjusted " | ||
"acceleration with linear interpolation."); | ||
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params.addParam<FileName>("data_file", | ||
"The name of a CSV file containing raw acceleration time history data."); | ||
params.addParam<std::string>("time_name", | ||
"The header name of the column which contains the time values in the data file. If not " | ||
"specified, they are assumed to be in the first column index."); | ||
params.addParam<std::string>("acceleration_name", | ||
"The header name for the column which contains the acceleration values in the data file. If " | ||
"not specified, they are assumed to be in the second column index."); | ||
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params.addParam<std::vector<Real>>("time_values", "The time abscissa values."); | ||
params.addParam<std::vector<Real>>("acceleration_values", "The acceleration ordinate values."); | ||
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params.addRequiredParam<Real>("gamma", "The gamma parameter for Newmark time integration."); | ||
params.addRequiredParam<Real>("beta", "The beta parameter for Newmark time integration."); | ||
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params.addRangeCheckedParam<unsigned int>("accel_fit_order", | ||
"(0 <= accel_fit_order) & (accel_fit_order < 10)", | ||
"If this is provided, the acceleration time history will be adjusted using an nth-order " | ||
"polynomial fit of the nominal acceleration data, where n = accel_fit_order (only integer " | ||
"values from 0 to 9 are supported)."); | ||
params.addRangeCheckedParam<unsigned int>("vel_fit_order", | ||
"(0 <= vel_fit_order) & (vel_fit_order < 10)", | ||
"If this is provided, the acceleration time history will be adjusted using an nth-order " | ||
"polynomial fit of the nominal velocity data, where n = vel_fit_order (only integer values " | ||
"from 0 to 9 are supported)."); | ||
params.addRangeCheckedParam<unsigned int>("disp_fit_order", | ||
"(0 <= disp_fit_order) & (disp_fit_order < 10)", | ||
"If this is provided, the acceleration time history will be adjusted using an nth-order " | ||
"polynomial fit of the nominal displacement data, where n = disp_fit_order (only integer " | ||
"values from 0 to 9 are supported)."); | ||
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params.addParam<Real>("scale_factor", 1.0, | ||
"A scale factor to be applied to the adjusted acceleration time history."); | ||
params.declareControllable("scale_factor"); | ||
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return params; | ||
} | ||
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BaselineCorrection::BaselineCorrection(const InputParameters & parameters) | ||
: Function(parameters), | ||
_gamma(getParam<Real>("gamma")), | ||
_beta(getParam<Real>("beta")), | ||
_scale_factor(getParam<Real>("scale_factor")) | ||
{ | ||
// determine data source and check parameter consistency | ||
if (isParamValid("data_file") && !isParamValid("time_values") && | ||
!isParamValid("acceleration_values")) | ||
buildFromFile(); | ||
else if (!isParamValid("data_file") && isParamValid("time_values") && | ||
isParamValid("acceleration_values")) | ||
buildFromXandY(); | ||
else | ||
mooseError("In BaselineCorrection ", | ||
_name, | ||
": Either `data_file` or `time_values` and `acceleration_values` must be specified " | ||
"exclusively."); | ||
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// size checks | ||
if (_time.size() != _accel.size()) | ||
mooseError("In BaselineCorrection ", | ||
_name, | ||
": The length of time and acceleration data must be equal."); | ||
if (_time.size() == 0 || _accel.size() == 0) | ||
mooseError("In BaselineCorrection ", | ||
_name, | ||
": The length of time and acceleration data must be > 0."); | ||
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// check that at lease one least squares fit will be applied | ||
if (!isParamValid("accel_fit_order") && !isParamValid("vel_fit_order") && | ||
!isParamValid("disp_fit_order")) | ||
mooseError("In BaselineCorrection ", | ||
_name, | ||
": No values were input for parameters 'accel_fit_order', 'vel_fit_order', or " | ||
"'disp_fit_order'. Please specify an integer value from 0 to 9 for at least one " | ||
"of these parameters."); | ||
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// apply baseline correction to raw acceleration time history | ||
applyCorrection(); | ||
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// try building a linear interpolation object | ||
try | ||
{ | ||
_linear_interp = libmesh_make_unique<LinearInterpolation>(_time, _adj_accel); | ||
} | ||
catch (std::domain_error & e) | ||
{ | ||
mooseError("In BaselineCorrection ", _name, ": ", e.what()); | ||
} | ||
} | ||
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Real | ||
BaselineCorrection::value(Real t, const Point & /*P*/) const | ||
{ | ||
return _scale_factor * _linear_interp->sample(t); | ||
} | ||
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void | ||
BaselineCorrection::applyCorrection() | ||
{ | ||
// store a reference to final array index | ||
unsigned int index_end = _accel.size() - 1; | ||
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// Compute unadjusted velocity and displacment time histories | ||
Real dt; | ||
std::vector<Real> vel, disp; | ||
vel.push_back(0); disp.push_back(0); | ||
for (unsigned int i = 0; i < index_end; ++i) | ||
{ | ||
dt = _time[i+1] - _time[i]; | ||
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vel.push_back(BaselineCorrectionUtils::newmarkGammaIntegrate( | ||
_accel[i], _accel[i+1], vel[i], _gamma, dt)); | ||
disp.push_back(BaselineCorrectionUtils::newmarkBetaIntegrate( | ||
_accel[i], _accel[i+1], vel[i], disp[i], _beta, dt)); | ||
} | ||
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// initialize polyfits and adjusted time history arrays as the nominal ones | ||
DenseVector<Real> coeffs; | ||
_adj_accel = _accel; | ||
std::vector<Real> p_fit, adj_vel = vel, adj_disp = disp; | ||
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// adjust time histories with acceleration fit if desired | ||
if (isParamValid("accel_fit_order")) | ||
{ | ||
_order = getParam<unsigned int>("accel_fit_order"); | ||
coeffs = BaselineCorrectionUtils::getAccelerationFitCoeffs( | ||
_order, _adj_accel, _time, index_end, _gamma); | ||
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for (unsigned int i = 0; i <= index_end; ++i) | ||
{ | ||
p_fit = BaselineCorrectionUtils::computePolynomials(_order, coeffs, _time[i]); | ||
_adj_accel[i] -= p_fit[0]; | ||
adj_vel[i] -= p_fit[1]; | ||
adj_disp[i] -= p_fit[2]; | ||
} | ||
} | ||
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// adjust with velocity fit | ||
if (isParamValid("vel_fit_order")) | ||
{ | ||
_order = getParam<unsigned int>("vel_fit_order"); | ||
coeffs = BaselineCorrectionUtils::getVelocityFitCoeffs( | ||
_order, _adj_accel, adj_vel, _time, index_end, _beta); | ||
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for (unsigned int i = 0; i <= index_end; ++i) | ||
{ | ||
p_fit = BaselineCorrectionUtils::computePolynomials(_order, coeffs, _time[i]); | ||
_adj_accel[i] -= p_fit[0]; | ||
adj_disp[i] -= p_fit[2]; | ||
} | ||
} | ||
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// adjust with displacement fit | ||
if (isParamValid("disp_fit_order")) | ||
{ | ||
_order = getParam<unsigned int>("disp_fit_order"); | ||
coeffs = BaselineCorrectionUtils::getDisplacementFitCoeffs(_order, adj_disp, _time, index_end); | ||
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for (unsigned int i = 0; i <= index_end; ++i) | ||
{ | ||
p_fit = BaselineCorrectionUtils::computePolynomials(_order, coeffs, _time[i]); | ||
_adj_accel[i] -= p_fit[0]; | ||
} | ||
} | ||
} | ||
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void | ||
BaselineCorrection::buildFromFile() | ||
{ | ||
// Read data from CSV file | ||
MooseUtils::DelimitedFileReader reader(getParam<FileName>("data_file"), &_communicator); | ||
reader.read(); | ||
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// Check if specific column headers were input | ||
const bool time_header = isParamValid("time_name"), | ||
accel_header = isParamValid("acceleration_name"); | ||
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if (time_header && !accel_header) | ||
mooseError("In BaselineCorrection ", | ||
_name, | ||
": A column header name was specified for the for the time data. Please specify a ", | ||
"header for the acceleration data using the 'accelertation_name' parameter."); | ||
else if (!time_header && accel_header) | ||
mooseError("In BaselineCorrection ", | ||
_name, | ||
": A column header name was specified for the for the acceleration data. Please " | ||
"specify a header for the time data using the 'time_name' parameter."); | ||
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// Obtain acceleration time history from file data | ||
if (time_header && accel_header) | ||
{ | ||
_time = reader.getData(getParam<std::string>("time_name")); | ||
_accel = reader.getData(getParam<std::string>("acceleration_name")); | ||
} | ||
else | ||
{ | ||
_time = reader.getData(0); | ||
_accel = reader.getData(1); | ||
} | ||
} | ||
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void | ||
BaselineCorrection::buildFromXandY() | ||
{ | ||
_time = getParam<std::vector<Real>>("time_values"); | ||
_accel = getParam<std::vector<Real>>("acceleration_values"); | ||
} |
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