[HDS07-P06] A Study on the Relationship between Arias Intensity and Earthquake-induced Slope Displacement
キーワード:Arias Intensity, Earthquake-induced landslides, Finite element analysis
Earthquake-induced landslides are damaging hazards. A way to mitigate landslide damage, having a better understanding of slope movements induced by earthquakes is pivotal. Various procedures have been developed to evaluate earthquake-induced slope stability. Lin et al. (2017) devised an enhanced FS method to evaluate stability of slopes based on Newmark displacement, assuming a rigid block model. Hung et al. (2017) analyzed an earthquake-induced landslide using finite element analysis. Notice that an energy-based analysis (Arias Intensity) has been recognized as a useful measure in earthquake-induced slope stability, the study utilized a series of seismic records and performed numerical experiments to study the relationship between Arias Intensity and earthquake-induced slope displacement. The displacements in the dynamic process were examined and the correlations of Arias Intensity and displacements of slopes, considering different angles of slopes (20 o, 30 o, and 45o), are presented.
REFERENCE
1. Lin GW, Hung C, and Syu HS (2017) Evaluation of an enhanced FS method for finding the initiation time of earthquake-induced landslides. Bulletin of Engineering Geology and the Environment. doi: 10.1007/s10064-017-1083-7.
2. Hung C, Lin GW, Syu HS, Chen CW, and Yen HY (2017) Analysis of the Aso-bridge landslide during the 2016 Kumamoto earthquakes in Japan. Bulletin of Engineering Geology and the Environment. doi: 10.1007/s10064-017-1103-7.
REFERENCE
1. Lin GW, Hung C, and Syu HS (2017) Evaluation of an enhanced FS method for finding the initiation time of earthquake-induced landslides. Bulletin of Engineering Geology and the Environment. doi: 10.1007/s10064-017-1083-7.
2. Hung C, Lin GW, Syu HS, Chen CW, and Yen HY (2017) Analysis of the Aso-bridge landslide during the 2016 Kumamoto earthquakes in Japan. Bulletin of Engineering Geology and the Environment. doi: 10.1007/s10064-017-1103-7.