Benchmark tests for the Stochastic Green's Function Method based on strong ground motions observed at the 2004 Kii-hanto-nanto-oki earthquake (<i>M</i><sub>JMA</sub>7.1)

We used the Green’s function summation method together with the randomly perturbed asperity sources to sum up broadband statistical Green’s functions of a moderate-size source and predict strong ground motions due to the expected M8.1 to 8.7 Nankai-Trough earthquakes along the southern coast of western Japan. We successfully simulated seismic intensity distributions similar to the past earthquakes and strong ground motions similar to the empirical attenuation relations of peak ground acceleration and velocity. Using these results, we predicted building damage by non-linear response analyses and find that at the regions close to the source, as well as regions with relatively thick, soft sediments such as the shoreline and alluvium valleys along the rivers, there is a possibility of severe damage regardless of the types of buildings. Moreover, the predicted damage ratios for buildings built before 1981 are much higher than those built after because of the significant code modifications in 1981. We also find that the damage ratio is highest for steel buildings, followed by wooden houses, and then reinforced concrete buildings.

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Estimation of Strong Ground Motions in Southwest Western Australia with a Combined Green's Function and Stochastic Approach

Journal of Earthquake Engineering ◽

10.1080/13632460701568607 ◽

2008 ◽

Vol 12 (3) ◽

pp. 382-405 ◽

Cited By ~ 6

Author(s):

Jonathan Z. Liang ◽

Hong Hao ◽

Brian A. Gaull ◽

Cvetan Sinadinovski

Keyword(s):

Green’S Function ◽

Green's Function ◽

Western Australia ◽

Ground Motions ◽

Stochastic Approach ◽

Strong Ground Motions ◽

Strong Ground

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Reproducing the Spatial Characteristics of High-Frequency Ground Motions for the 1850 M 7.5 Xichang Earthquake

Seismological Research Letters ◽

10.1785/0220210076 ◽

2021 ◽

Author(s):

Zongchao Li ◽

Jize Sun ◽

Lihua Fang ◽

Xueliang Chen ◽

Mengtan Gao ◽

...

Keyword(s):

Green’S Function ◽

Ground Motion ◽

Green's Function ◽

Function Method ◽

Ground Motions ◽

Empirical Green’S Function ◽

Green’S Function Method ◽

Spatial Characteristics ◽

Meizoseismal Area ◽

Empirical Green's Function

Abstract Reproducing the spatial characteristics of large historical earthquakes and predicting the strong ground motions of future destructive large earthquakes through actual small earthquakes have high-practical value. The empirical Green’s function method is a numerical simulation method that can impart real seismic information in synthetic ground motions. In this article, we use data from the 2018 M 5.1 Xichang earthquake to reproduce the ground-motion characteristics of the 1850 M 7.5 Xichang earthquake using the empirical Green’s function method. The uncertainties of the parameters, such as the number, area, and locations of asperities, are considered. The synthetic time histories, peak ground accelerations (PGAs), and response spectra are obtained through simulation. The main results are as follows. (1) The synthetic Xichang earthquake (such as the ground-motion intensity and attenuation characteristic of the PGA) matches well with the M 8.0 Wenchuan earthquake and M 7.3 Jiji earthquake. When the number of asperities is 1 or 2, the PGA characteristics of the Xichang earthquake match well not only with the Next Generation Attenuation-West2 (2014) ground-motion model in the range of 100 km but also with the seismic ground-motion parameter zonation map of China in the range of 20–100 km. (2) The prediction results based on the asperity source model are relatively reliable in the range of 20–100 km. The one-asperity and two-asperity models of the Xichang earthquake match better than the three-asperity and four-asperity models. (3) We can speculate that when the M 7.5 earthquake struck the Xichang area, the damage was relatively strong. The PGA may have exceeded 1.0g in the meizoseismal area, and the seismic intensity in the meizoseismal area may have reached or exceeded a degree of X–XI. Therefore, the synthesized M 7.5 Xichang earthquake has the strength characteristics of a large destructive earthquake.

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