Long period ground motion simulation and its application to the seismic design of high-rise buildings

2021 ◽  
Vol 143 ◽  
pp. 106619
Author(s):  
Shuoyu Liu ◽  
Yan Jiang ◽  
Ming Li ◽  
Jingzhou Xin ◽  
Liuliu Peng
Keyword(s):  
Ground Motion ◽  
Seismic Design ◽  
Motion Simulation ◽  
Ground Motion Simulation ◽  
High Rise ◽  
Long Period ◽  
Long Period Ground Motion

Cluster Analysis of Long-Period Ground-Motion Simulation Data with Application to Nankai Trough Megathrust Earthquake Scenarios

2018 ◽  
Vol 13 (2) ◽  
pp. 254-261 ◽  
Author(s):  
Takahiro Maeda ◽  
Hiroyuki Fujiwara ◽  
Toshihiko Hayakawa ◽  
Satsuki Shimono ◽  
Sho Akagi ◽  
...  
Keyword(s):  
Ground Motion ◽  
Principal Components ◽  
Nankai Trough ◽  
Motion Simulation ◽  
Simulation Data ◽  
Ground Motion Simulation ◽  
Megathrust Earthquake ◽  
Earthquake Scenarios ◽  
Long Period ◽  
Long Period Ground Motion

We developed a clustering method combining principal component analysis and the k-means algorithm, which classifies earthquake scenarios based on the similarity of the spatial distribution of earthquake ground-motion simulation data generated for many earthquake scenarios, and applied it to long-period ground-motion simulation data for Nankai Trough megathrust earthquake scenarios. Values for peak ground velocity and relative velocity response at approximately 80,000 locations in 369 earthquake scenarios were represented by 15 principal components each, and earthquake scenarios were categorized into 30 clusters. In addition, based on clustering results, we determined that extracting relationships between principal components and scenario parameters is possible. Furthermore, by utilizing these relationships, it may be possible to easily estimate the approximate ground-motion distribution from the principal components of arbitrary sets of scenario parameters.

Seismic Hazard Visualization from Big Simulation Data: Cluster Analysis of Long-Period Ground-Motion Simulation Data

2017 ◽  
Vol 12 (2) ◽  
pp. 233-240 ◽  
Author(s):  
Takahiro Maeda ◽  
◽  
Hiroyuki Fujiwara
Keyword(s):  
Ground Motion ◽  
Motion Simulation ◽  
Two Stage ◽  
Simulation Data ◽  
Ground Motion Simulation ◽  
Earthquake Scenarios ◽  
Megathrust Earthquakes ◽  
Long Period ◽  
Motion Characteristics ◽  
Long Period Ground Motion

This paper describes a method of extracting the relation between the ground-motion characteristics of each area and a seismic source model, based on ground-motion simulation data output in planar form for many earthquake scenarios, and the construction of a parallel distributed processing system where this method is implemented. The extraction is realized using two-stage clustering. In the first stage, the ground-motion indices and scenario parameters are used as input data to cluster the earthquake scenarios within each evaluation mesh. In the second stage, the meshes are clustered based on the similarity of earthquake-scenario clustering. Because the mesh clusters can be correlated to the geographical space, it is possible to extract the relation between the ground-motion characteristics of each area and the scenario parameters by examining the relation between the mesh clusters and scenario clusters obtained by the two-stage clustering. The results are displayed visually; they are saved as GeoTIFF image files. The system was applied to the long-period ground-motion simulation data for hypothetical megathrust earthquakes in the Nankai Trough. This confirmed that the relation between the extracted ground-motion characteristics of each area and scenario parameters is in agreement with the results of ground-motion simulations.

scholarly journals Retraction Note to: Estimation of the source process and forward simulation of long-period ground motion of the 2018 Hokkaido Eastern Iburi, Japan, earthquake

2019 ◽  
Vol 71 (1) ◽  
Author(s):  
Hisahiko Kubo ◽  
Asako Iwaki ◽  
Wataru Suzuki ◽  
Shin Aoi ◽  
Haruko Sekiguchi
Keyword(s):  
Ground Motion ◽  
Real Analysis ◽  
Motion Simulation ◽  
Source Inversion ◽  
Forward Simulation ◽  
Inversion Result ◽  
Ground Motion Simulation ◽  
Long Period ◽  
Starting Point ◽  
Long Period Ground Motion

The authors have retracted this article [1] because after its publication, they noticed that the source inversion was not done with the intended setting. Although it was mentioned in this article [1] that the rupture starting point of the fault model was set at the hypocenter determined by JMA as shown in Fig. 1, the rupture starting point in the real analysis was accidentally set at an incorrect location, the center point of the subfault southern neighbor of the hypocenter subfault. Thus, the source-inversion result (Figs. 2, 3, S1, and S2) and the forward ground-motion simulation result for the mainshock (Figs. 4 and 5), which used the source-inversion result as a source input, need to be corrected.

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