[S-SS11] 強震動・地震災害

[SSS11-P18] Comparison of stochastic ground motion simulation: SMSIM, EXSIM and GMSS2.0

*Omkar . .¹、Shikha Sharma¹、Sanjay Singh Bora²、Utsav Mannu¹ (1.Department of Earth Sciences, Indian Institute of Technology Gandhinagar, India、2.GNS Science 1 Fairway Drive, Lower Hutt, 5011 New Zealand )

キーワード：Ground motion, Stochastic Simulation, GMSS2.0, SMSIM, EXSIM

Ground motion simulations are crucial for various engineering applications, such as seismic hazard assessment and the development of ground motion prediction equations. However, in regions where large-magnitude earthquakes dominate, the scarcity of recorded seismic events poses a significant challenge. To address this, stochastic simulations are commonly employed to supplement empirical datasets. This study presents a comparative analysis of three stochastic ground motion simulation programs: Stochastic-Method SIMulation (SMSIM) (Boore, 2003), EXtended stochastic method SIMulation (EXSIM) (Motazedian and Atkinson, 2005; Boore, 2009; Assatourians and Atkinson, 2012), and Ground Motion Simulation Software (GMSS2.0) (Tang, 2021; Tang, 2022). While SMSIM utilizes a point source approach, EXSIM and GMSS2.0 implement finite fault simulation methods. For the comparison, a subset of the NGA (Next Generation Attenuation) West2 database (for the California region) is employed. The results indicate that SMSIM outperforms the finite fault simulation methods overall, though EXSIM and SMSIM exhibit comparable performance at low frequencies. This analysis highlights the strengths and limitations of each software, offering insights into their applicability for seismic hazard modeling.