Source code for openquake.hazardlib.gsim.allen_2012_ipe

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"""
Module exports :class:'AllenEtAl2012',
                      'AllenEtAl2012Rhypo'
"""
import numpy as np

from openquake.hazardlib.gsim.base import GMPE, CoeffsTable
from openquake.hazardlib import const
from openquake.hazardlib.imt import MMI


[docs]class AllenEtAl2012(GMPE): """ Implements the Intensity Prediction Equation of Allen, Wald and Worden (2012) for Modified Mercalli Intensity in Active Crustal Regions Allen, T. I., Wald, D. J. and Worden, C. B. (2012) Intensity attenuation in active crustal regions, J. Seismology, 16: 409 - 433 This class implements the version using rupture distance, neglecting site amplification """ #: The GMPE is derived from induced earthquakes DEFINED_FOR_TECTONIC_REGION_TYPE = const.TRT.ACTIVE_SHALLOW_CRUST #: Supported intensity measure types are peak ground acceleration #: and peak ground velocity DEFINED_FOR_INTENSITY_MEASURE_TYPES = set([ MMI, ]) #: Supported intensity measure component is not considered for IPEs, so #: we assume equivalent to 'average horizontal' DEFINED_FOR_INTENSITY_MEASURE_COMPONENT = const.IMC.AVERAGE_HORIZONTAL #: Supported standard deviation types is total. DEFINED_FOR_STANDARD_DEVIATION_TYPES = set([ const.StdDev.TOTAL ]) #: No required site parameters (in the present version) REQUIRES_SITES_PARAMETERS = set() #: Required rupture parameters are magnitude (ML is used) REQUIRES_RUPTURE_PARAMETERS = {'mag'} #: Required distance measure is rupture distance REQUIRES_DISTANCES = {'rrup'}
[docs] def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): """ See :meth:`superclass method <.base.GroundShakingIntensityModel.get_mean_and_stddevs>` for spec of input and result values. """ C = self.COEFFS[imt] mean = (self._compute_magnitude_term(C, rup.mag) + self._compute_distance_term(C, dists.rrup, rup.mag)) stddevs = self._get_stddevs(C, dists.rrup, stddev_types) return mean, stddevs
def _compute_magnitude_term(self, C, mag): """ Returns the magnitude scaling term """ return C["c0"] + (C["c1"] * mag) def _compute_distance_term(self, C, rrup, mag): """ Returns the distance scaling term """ exponent_term = (1.0 + C["c3"] * np.exp(mag - 5.)) ** 2. return C["c2"] * np.log(np.sqrt(rrup ** 2. + exponent_term)) def _get_stddevs(self, C, distance, stddev_types): """ Returns the total standard deviation, which is a function of distance """ stddevs = [] for stddev_type in stddev_types: assert stddev_type in self.DEFINED_FOR_STANDARD_DEVIATION_TYPES if stddev_type == const.StdDev.TOTAL: sigma = C["s1"] + (C["s2"] / (1.0 + ((distance / C["s3"]) ** 2.))) stddevs.append(sigma + np.zeros_like(distance)) return stddevs COEFFS = CoeffsTable(sa_damping=5, table=""" IMT c0 c1 c2 c3 s1 s2 s3 mmi 3.950 0.913 -1.107 0.813 0.72 0.23 44.7 """)
[docs]class AllenEtAl2012Rhypo(AllenEtAl2012): """ Version of the Allen, Wald and Worden (2012) GSIM for hypocentral distance """ #: Required distance measure is hypocentral distance REQUIRES_DISTANCES = set(('rhypo',))
[docs] def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): """ See :meth:`superclass method <.base.GroundShakingIntensityModel.get_mean_and_stddevs>` for spec of input and result values. """ C = self.COEFFS[imt] mean = (self._compute_magnitude_term(C, rup.mag) + self._compute_distance_term(C, dists.rhypo, rup.mag)) stddevs = self._get_stddevs(C, dists.rhypo, stddev_types) return mean, stddevs
def _compute_distance_term(self, C, rhypo, mag): """ Returns the distance scaling term """ r_m = C["m1"] + C["m2"] * np.exp(mag - 5.) f_r = C["c2"] * np.log(np.sqrt(rhypo ** 2. + r_m ** 2.)) # For distances greater than 50 km an anelastic term is added idx = rhypo > 50.0 f_r[idx] += C["c4"] * np.log(rhypo[idx] / 50.) return f_r COEFFS = CoeffsTable(sa_damping=5, table=""" IMT c0 c1 c2 c3 c4 m1 m2 s1 s2 s3 mmi 2.085 1.428 -1.402 0.0 0.078 -0.209 2.042 0.82 0.37 22.9 """)