Akkar and Bommer 2010

class openquake.hazardlib.gsim.akkar_bommer_2010.AkkarBommer2010[source]

Implements GMPE developed by Sinan Akkar and Julian J. Bommer and published as “Empirical Equations for the Prediction of PGA, PGV, and Spectral Accelerations in Europe, the Mediterranean Region, and the Middle East”, Seismological Research Letters, 81(2), 195-206. SA at 4 s (not supported by the original equations) has been added in the context of the SHARE project and assumed to be equal to SA at 3 s but scaled with proper factor. Equation coefficients for PGA and SA periods up to 0.05 seconds have been taken from updated model as described in ‘Extending ground-motion prediction equations for spectral accelerations to higher response frequencies’,Julian J. Bommer, Sinan Akkar, Stephane Drouet, Bull. Earthquake Eng. (2012) volume 10, pages 379 - 399. Coefficients for PGV and SA above 0.05 seconds are taken from the original 2010 publication.

COEFFS = <openquake.hazardlib.gsim.base.CoeffsTable object>

For PGA and SA up to 0.05 seconds, coefficients are taken from table 5, page 385 of ‘Extending ground-motion prediction equations for spectral accelerations to higher response frequencies’, while for PGV and SA with periods greater than 0.05 coefficients are taken from table 1, pages 200-201 of ‘Empirical Equations for the Prediction of PGA, PGV, and Spectral Accelerations in Europe, the Mediterranean Region, and the Middle East’

DEFINED_FOR_INTENSITY_MEASURE_COMPONENT = 'Average horizontal'

Supported intensity measure component is the geometric mean of two horizontal components AVERAGE_HORIZONTAL, see page 196.

DEFINED_FOR_INTENSITY_MEASURE_TYPES = set([<class 'openquake.hazardlib.imt.PGA'>, <class 'openquake.hazardlib.imt.SA'>, <class 'openquake.hazardlib.imt.PGV'>])

Set of intensity measure types this GSIM can calculate. A set should contain classes from module openquake.hazardlib.imt.

DEFINED_FOR_STANDARD_DEVIATION_TYPES = set(['Total', 'Inter event', 'Intra event'])

Supported standard deviation types are inter-event, intra-event and total, see equation 2, page 199.

DEFINED_FOR_TECTONIC_REGION_TYPE = 'Active Shallow Crust'

Supported tectonic region type is ‘active shallow crust’ because the equations have been derived from data from Southern Europe, North Africa, and active areas of the Middle East, as explained in the

REQUIRES_DISTANCES = set(['rjb'])

Required distance measure is RRup (eq. 1, page 199).

REQUIRES_RUPTURE_PARAMETERS = set(['rake', 'mag'])

Required rupture parameters are magnitude and rake (eq. 1, page 199).

REQUIRES_SITES_PARAMETERS = set(['vs30'])

Required site parameter is only Vs30 (used to distinguish rock and stiff and soft soil).

get_mean_and_stddevs(sites, rup, dists, imt, stddev_types)[source]

See superclass method for spec of input and result values.

class openquake.hazardlib.gsim.akkar_bommer_2010.AkkarBommer2010SWISS01[source]

This class extends AkkarBommer2010 adjusted to be used for the Swiss Hazard Model [2014]. This GMPE is valid for a fixed value of vs30=600m/s

# kappa value K-adjustments corresponding to model 01 - as prepared by Ben Edwards K-value for PGA were not provided but infered from SA[0.01s] the model considers a fixed value of vs30=600 to match the reference vs30=1100m/s

# small-magnitude correction

# single station sigma - inter-event magnitude/distance adjustment

Disclaimer: these equations are modified to be used for the Swiss Seismic Hazard Model [2014]. The use of these models is the soly responsability of the hazard modeler.

Model implmented by laurentiu.danciu@gmail.com

get_mean_and_stddevs(sites, rup, dists, imt, stddev_types)[source]

See superclass method for spec of input and result values.

class openquake.hazardlib.gsim.akkar_bommer_2010.AkkarBommer2010SWISS04[source]

This class extends AkkarBommer2010 following same strategy as for AkkarBommer2010SWISS01

class openquake.hazardlib.gsim.akkar_bommer_2010.AkkarBommer2010SWISS08[source]

This class extends AkkarBommer2010 following same strategy as for AkkarBommer2010SWISS01 to be used for the Swiss Hazard Model [2014].