Source code for openquake.hazardlib.gsim.bommer_2009
# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (C) 2013-2020 GEM Foundation
#
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"""
Module exports :class:`BommerEtAl2009RSD`
"""
import numpy as np
from openquake.hazardlib.gsim.base import CoeffsTable, GMPE
from openquake.hazardlib import const
from openquake.hazardlib.imt import RSD595, RSD575
[docs]class BommerEtAl2009RSD(GMPE):
"""
Implements the GMPE of Bommer et al. (2009) for significant duration with
5 - 75 % Arias Intensity and 5 - 95 % Arias Intensity
"""
#: Supported tectonic region type is active shallow crust
DEFINED_FOR_TECTONIC_REGION_TYPE = const.TRT.ACTIVE_SHALLOW_CRUST
#: Supported intensity measure types are 5 - 95 % Arias and 5 - 75 % Arias
#: significant duration
DEFINED_FOR_INTENSITY_MEASURE_TYPES = set([
RSD595,
RSD575
])
#: Supported intensity measure component is the geometric mean horizontal
#: component
DEFINED_FOR_INTENSITY_MEASURE_COMPONENT = const.IMC.AVERAGE_HORIZONTAL
#: Supported standard deviation type is only total, see table 7, page 35
DEFINED_FOR_STANDARD_DEVIATION_TYPES = set([
const.StdDev.TOTAL,
const.StdDev.INTER_EVENT,
const.StdDev.INTRA_EVENT
])
#: Requires vs30
REQUIRES_SITES_PARAMETERS = {'vs30'}
#: Required rupture parameters are magnitude and top of rupture depth
REQUIRES_RUPTURE_PARAMETERS = {'mag', 'ztor'}
#: Required distance measure is closest distance to rupture
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.get_magnitude_term(C, rup.mag) +
self.get_distance_term(C, dists.rrup, rup.mag) +
self.get_ztor_term(C, rup.ztor) +
self.get_site_amplification(C, sites.vs30))
stddevs = self.get_stddevs(C, dists.rrup.shape, stddev_types)
return mean, stddevs
[docs] def get_magnitude_term(self, C, mag):
"""
Returns linear magnitude scaling term
"""
return C["c0"] + C["m1"] * mag
[docs] def get_distance_term(self, C, rrup, mag):
"""
Returns distance scaling term
"""
return (C["r1"] + C["r2"] * mag) *\
np.log(np.sqrt(rrup ** 2. + C["h1"] ** 2.))
[docs] def get_ztor_term(self, C, ztor):
"""
Returns depth to top of rupture scaling
"""
return C["z1"] * ztor
[docs] def get_site_amplification(self, C, vs30):
"""
Returns linear site amplification term
"""
return C["v1"] * np.log(vs30)
[docs] def get_stddevs(self, C, nsites, stddev_types):
"""
Returns the standard deviations
"""
stddevs = []
zeros_array = np.zeros(nsites)
for stddev in stddev_types:
assert stddev in self.DEFINED_FOR_STANDARD_DEVIATION_TYPES
if stddev == const.StdDev.TOTAL:
stddevs.append(np.sqrt(C["tau"] ** 2. + C["phi"] ** 2.) +
zeros_array)
elif stddev == const.StdDev.INTER_EVENT:
stddevs.append(C["tau"] + zeros_array)
elif stddev == const.StdDev.INTRA_EVENT:
stddevs.append(C["phi"] + zeros_array)
return stddevs
COEFFS = CoeffsTable(sa_damping=5, table="""\
imt c0 m1 r1 r2 h1 v1 z1 tau phi
rsd575 -5.6298 1.2619 2.0063 -0.2520 2.3316 -0.2900 -0.0522 0.3527 0.4304
rsd595 -2.2393 0.9368 1.5686 -0.1953 2.5000 -0.3478 -0.0365 0.3252 0.3460
""")