Broadband Ground-Motion Simulation Using a Hybrid Approach

Graves, Robert; Pitarka, Arben

doi:10.1785/0120100057

Cited by 484 publications

(445 citation statements)

References 74 publications

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“…We calculated the stressdrop distributions following Ripperger and Mai (2004). Rise times of subfaults were assumed to be proportional to the square root of slip by constraining the fault average rise-time value with empirical scalings (Graves and Pitarka, 2010):…”

Section: Strong-motion Simulations Strong-motion Simulation Methods Anmentioning

confidence: 99%

Scenario Source Models and Strong Ground Motion for Future Mega‐earthquakes: Application to Lima, Central Peru

Pulido¹,

Aguilar²,

Tavera³

et al. 2015

Bulletin of the Seismological Society of America

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The 2011 moment magnitude (M w ) 9.0 Tohoku-Oki Japan earthquake occurred in a region where giant megathrust earthquakes were not expected. This earthquake proved the difficulty in assessing seismic hazard by relying mainly on information from historical and instrumental seismicity. To help improve the seismic-hazard assessment for such rare events, we propose a methodology to estimate the slip distribution of future megathrust earthquakes based on a model of interseismic coupling distribution in subduction margins, as well as information of historical earthquakes, and apply the method to the central Peru region, Lima. The slip model obtained from geodetic data represents the large scale features of asperities within the megathrust, which is appropriate for simulation of long-period waves and tsunami modeling. For the simulation of a broadband strong ground motion, we add small scale heterogeneities to the source slip to be able to simulate high frequencies. To achieve this purpose, we propose broadband source models constructed by adding short-wavelength slip distributions obtained from a Von Karman power spectral density function, to the slip model inferred from interseismic geodetic data. Using these slip models and assuming several hypocenter locations, we calculate a set of strong ground motions for Lima and incorporate site effects obtained from microtremors surveys and geotechnical data. Our simulated average pseudospectral accelerations (period 0.3 s) are above 1:5g for wide areas in Lima, which may be critical in terms of damage of low-to midrise masonry and reinforced concrete buildings, which characterize the majority of buildings in Lima.

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Section: Strong-motion Simulations Strong-motion Simulation Methods Anmentioning

confidence: 99%

Scenario Source Models and Strong Ground Motion for Future Mega‐earthquakes: Application to Lima, Central Peru

Pulido¹,

Aguilar²,

Tavera³

et al. 2015

Bulletin of the Seismological Society of America

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“…The summation in the seismic demand hazard, as given by Equation (6), is considered over the ! IM levels for which ground motions are selected.…”

Section: Non-parametric Computationmentioning

confidence: 99%

“…(!"#|!") parametrically represented continuously over the range of IM levels considered (as well as reasonable amount of extrapolation), Equation (6) can be evaluated via summation over a large number of IM values, allowing for a more accurate representation of the derivate of the hazard curve (!! !"…”

Section: Parametric Computationmentioning

confidence: 99%

Ground motion selection for simulation‐based seismic hazard and structural reliability assessment

Bradley

Burks

Baker

2015

Earthq Engng Struct Dyn

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This paper examines four methods by which ground motions can be selected for dynamic seismic response analyses of engineered systems when the underlying seismic hazard is quantified via ground motion simulation rather than empirical ground motion prediction equations. Even with simulation-based seismic hazard, a ground motion selection process is still required in order to extract a small number of time series from the much larger set developed as part of the hazard calculation. Four specific methods are presented for ground motion selection from simulation-based seismic hazard analyses, and pros and cons of each are discussed via a simple and reproducible illustrative example. One of the four methods (method 1 'direct analysis') provides a 'benchmark' result (i.e. using all simulated ground motions), enabling the consistency of the other three more efficient selection methods to be addressed. Method 2 ('stratified sampling') is a relatively simple way to achieve a significant reduction in the number of ground motions required through selecting subsets of ground motions binned based on an intensity measure, IM. Method 3 ('simple multiple stripes') has the benefit of being consistent with conventional seismic assessment practice using as-recorded ground motions, but both methods 2 and 3 are strongly dependent on the efficiency of the conditioning IM to predict the seismic responses of interest. Method 4 ('GCIM-based selection') is consistent with 'advanced' selection methods used for as-recorded ground motions, and selects subsets of ground motions based on multiple IMs, thus overcoming this limitation in methods 2 and 3.

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“…important source information on the main causes affecting the strong ground motion behavior. Most previous studies adopted 3D simulation approaches to estimate long-period ground motions (e.g., Kamae et al 1998;Furumura et al 2002;Graves and Pitarka 2010). In addition, Lee et al (2014) showed that their model explained long-period ground motions well, so we also tried to estimate the long-period ground motions following the source rupture model derived by Lee et al (2014).…”

Section: Application Of Broadband Waveformsmentioning

confidence: 99%

Hybrid Ground Motion Simulation for the 2013 ML 6.4 Ruisui, Taiwan Earthquake

Wen

Yen

Wen

et al. 2016

Terr. Atmos. Ocean. Sci.

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The 2013 M L 6.4 Ruisui earthquake struck a seismic gap around the northern part of the Longitudinal Valley where rare earthquakes have occurred for at least two decades. Seismic data with different frequency bands connote a diverse scale of source characteristics. The slip model derived by a previous study using long-period seismic data provided us with the preliminary earthquake source properties in low-frequency energy radiation. However, the high-frequency part of the seismic energy needs to be considered for the strong motions in the comprehensive frequency band. As a case study, we carried out broadband strong motion simulations through the hybrid scheme, which simulated waveforms combining the low-frequency motions (frequency-wavenumber integration method) and high-frequency motions (empirical Green's function method) to reveal the strong ground motion and source characteristics of the 2013 Ruisui earthquake. The results show that even though the local structure is complicated this hybrid simulation can effectively rebuild the overall broadband strong ground motion characteristics for the 2013 Ruisui earthquake. Additional study issues are required to better understand the nature of localized high peak ground acceleration and the related seismic hazards for future earthquakes.

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Broadband Ground-Motion Simulation Using a Hybrid Approach

Cited by 484 publications

References 74 publications

Scenario Source Models and Strong Ground Motion for Future Mega‐earthquakes: Application to Lima, Central Peru

Scenario Source Models and Strong Ground Motion for Future Mega‐earthquakes: Application to Lima, Central Peru

Ground motion selection for simulation‐based seismic hazard and structural reliability assessment

Hybrid Ground Motion Simulation for the 2013 ML 6.4 Ruisui, Taiwan Earthquake

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