RED-ACT: 7月28日日本本州南岸近海6.4级地震破坏力分析

原创课题组陆新征课题组

2019年07月28日 07:49

RED-ACT Report

Real-time Earthquake Damage Assessment using City-scale Time-history analysis

July 28, M6.4 Japan Mie-ken Earthquake

Research group of Xinzheng Lu at Tsinghua University ([email protected])

First reported at 7:00, July 28, 2019 (Beijing Time, UTC +8)

Acknowledgments and Disclaimer

The authors are grateful for the data provided by K-NET and KiK-net. This analysis is for research only. The actual damage resulting from the earthquake should be determined according to the site investigation.

Scientific background of this report can be found at:

http://www.luxinzheng.net/rr.htm

1. Introduction to the earthquake event

At 03:31 28 Jul 2019 (Local Time, UTC +9), an M 6.4 (JMA) earthquake occurred in Japan Mie-ken. The epicenter was located at 137.4 33.0, with a depth of 420.0 km.

2. Recorded ground motions

10 ground motions near to epicenter of this earthquake were analyzed. The names and locations of the stations can be found Table 1. The maximal recorded peak ground acceleration (PGA) is 44 cm/s/s. The corresponding response spectra in comparison with the design spectra specified in the Chinese Code for Seismic Design of Buildings are shown in Figure 1.

Figure 1 Response spectra of the recorded ground motions with maximal PGA

3. Damage analysis of the target region subjected to the recorded ground motions

Using the real-time ground motions obtained from the strong motion networks and the city-scale nonlinear time-history analysis, the damage ratios of buildings located in different places can be obtained. The building damage distribution and the human feeling distribution near to different stations are shown in Figure 2 and Figure 3, respectively. These outcomes can provide a reference for post-earthquake rescue work.

Figure 2 Damage ratio distribution of the buildings near to different stations

Figure 3 Human feeling distribution near to different stations

4. Earthquake-induced landslide of the target region subjected to the recorded ground motions

According to local topographic data, lithology data and ground motion records, the distribution of earthquake-induced landslide near to different stations under the different proportions of the landslide slab thickness that is saturated can be calculated, as shown in Figure 4. The basemap shows the distribution of the local slope. The number in the circle represents the critical slope of the landslide. The earthquake-induced landslide tends to occur with a higher probability when the slope near the station is larger than this threshold value.