In this study, we use the stochastic finite-fault method based on a dynamic corner frequency to simulate the strong ground motions of the 2016 Kumamoto earthquake.
Synthetic records of 6 April 2009 L′Aquila (Italy) earthquake (Mw=6.3) are simulated using both the Hybrid Integral-Composite method and the Stochastic Finite-Fault method.
The stochastic finite-fault method is widely used in ground-motion simulations of past or scenario earthquakes (Ugurhan and Askan 2010; Ghofrani et al. 2013; Safarshahi et al. 2013; Zengin and Cakti 2014; Mittal and Kumar 2015).
The results suggested that the stochastic finite-fault technique should be considered when managing the complex rupture behavior.
Site amplifications and κ 0 are two parameters required to characterize the site response in the stochastic finite-fault method.
Source information, such as moment magnitude, hypocenter location, fault geometry and subfault size, is required to define the source mechanism in the stochastic finite-fault model.
The uncertainties of simulated results caused by the stochastic finite-fault model were studied with a homogeneous 3D model.
The basic idea of the stochastic finite-fault model is that the fault plane can be subdivided into several subfaults (or elements, sources).
In this study, we calculated the DNL values and applied the stochastic finite-fault method to model the ground motion of the 2016 Meinong earthquake.
