The stochastic method is applied to simulate strong ground motions at seismic stations of seven metropolises in South Korea, creating an earthquake scenario based on the causative fault of the 2016 Gyeongju earthquake. Input parameters are established according to what has been revealed so far for the causative fault of the Gyeongju earthquake, while the ratio of differences in response spectra between observed and simulated strong ground motions is assumed to be an adjustment factor. The calculations confirm the applicability and reproducibility of strong ground motion simulations based on the relatively small bias in response spectra between observed and simulated strong ground motions. Based on this result, strong ground motions by a scenario earthquake on the causative fault of the Gyeongju earthquake with moment magnitude 6.5 are simulated, assuming that the ratios of its fault length to width are 2:1, 3:1, and 4:1. The results are similar to those of the empirical Green’s function method. Although actual site response factors of seismic stations should be supplemented later, the simulated strong ground motions can be used as input data for developing ground motion prediction equations and input data for calculating the design response spectra of major facilities in South Korea.

The empirical Green’s function method is applied to the foreshock and the mainshock of the 2016 Gyeongju earthquake to simulate strong ground motions of the mainshock and scenario earthquake at seismic stations of seven metropolises in South Korea, respectively. To identify the applicability of the method in advance, the mainshock is simulated, assuming the foreshock as the empirical Green’s function. As a result of the simulation, the overall shape, the amplitude of PGA, and the duration and response spectra of the simulated seismic waveforms are similar with those of the observed seismic waveforms. Based on this result, a scenario earthquake on the causative fault of Gyeongju earthquake with a moment magnitude 6.5 is simulated, assuming that the mainshock serves as the empirical Green’s function. As a result, the amplitude of PGA and the duration of simulated seismic waveforms are significantly increased and extended, and the spectral amplitude of the low frequency band is relatively increased compared with that of the high frequency band. If the empirical Green’s function method is applied to several recent well-recorded moderate earthquakes, the simulated seismic waveforms can be used as not only input data for developing ground motion prediction equations, but also input data for creating the design response spectra of major facilities in South Korea.

응답스펙트럼은 내진설계에 있어서 중요한 기초자료의 하나이다. 응답스펙트럼을 얻기 위하여, 한반도에서 발생하는 지진들의 지진원 특성에 근거하여 다수의 강진동을 Boore(2005)에 의해 개발된 컴퓨터 프로그램 SMSIM을 사용하여 모사하였다. 여러 연구결과들에 대한 충분한 검토를 통하여, 모사에 필요한 입력자료들을 선정하였다. 모사된 강진동으로부터 얻은 응답스펙트럼은 가속도 1.0 g에 대하여 정규화하여 미국 원자력위원회(1973)의 표준응답스펙트럼과 비교하였다. 이 연구에서 얻어진 응답스펙트럼의 스펙트럼 진폭은 대략 10 Hz 이상의 고주파 대역에서 표준 응답스펙트럼 값에 비하여 큰 것으로 나타났다. 또한 응력강하량의 변화에 따른 응답스펙트럼의 변화를 평가하였다. 그 결과 큰 응력강하량에 대한 응답스펙트럼의 스펙트럼 진폭은 저주파 범위내에서 큰 값을 나타냄을 제시하였다.