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Featured researches published by Yasuo Uchiyama.


Bulletin of the Seismological Society of America | 2011

A Methodology to Improve Ground-Motion Prediction Equations by Including Path Corrections

John G. Anderson; Yasuo Uchiyama

Path effects that are unique to the source-site geometry increase the uncertainties in ground-motion prediction equations (GMPEs). A methodology is proposed to deal with this issue. First a GMPE is developed, including site and event terms. A map of the logarithmic residuals may show that there are regions in which the spatial average is different from zero. The smoothed residuals become an additional correction to the GMPE. In principle, the contour maps of these corrections are unique to each strong-motion station, but maps of nearby stations should be correlated. The potential for path corrections to significantly improve ground-motion prediction at individual stations is tested first in a simplified pilot application on a small subset of Japanese peak-acceleration and peak-velocity data. For these data, the standard deviations to GMPEs without station or path corrections are in the range of 0.76 to 0.85 (in natural-log units). With the corrections the standard deviations are reduced to a range from 0.25 to 0.35. The method is also applied more strictly to the prediction of peak acceleration and peak velocity in Guerrero, Mexico. The result is reduction of the estimated standard deviation from 0.70 to 0.35 for peak acceleration and from 0.64 to 0.40 for peak velocity. After accounting for the path terms, the standard deviation at individual stations (single-station sigma) is estimated to be 0.51 and 0.48 for peak acceleration and peak velocity, respectively.nnThis approach may be particularly appropriate for the design of critical structures with long lead times in their planning and design. If broadband and strong-motion stations are installed at the intended site immediately after site selection, site-specific corrections determined from background seismicity during the design stages can be used to refine and defend the design during the approval process.


Archive | 2005

System for predicting seismic motion utilizing real-time seismic information

Ichiro Nagashima; Tatsuhiro Ranki; Takatoshi Sueda; Yasuo Uchiyama; Tomoaki Yoshimura; 泰生 内山; 智昭 吉村; 隆敏 末田; 龍大 欄木; 一郎 長島


Archive | 2005

Earthquake motion intensity prediction method and disaster prevention system, using real-time earthquake information

Tatsuya Itoi; Ichiro Nagashima; Tatsuhiro Ranki; Takatoshi Sueda; Yasuo Uchiyama; Tomoaki Yoshimura; 泰生 内山; 智昭 吉村; 隆敏 末田; 龍大 欄木; 達哉 糸井; 一郎 長島


Journal of Japan Association for Earthquake Engineering | 2009

Variability in Response Spectra for Crustal Earthquake using Stochastic Green's Function Approach

Tatsuya Itoi; Saburoh Midorikawa; Junzo Kito; Hiroyuki Miura; Yasuo Uchiyama; Shigehiro Sakamoto


Archive | 2013

Characteristics of Simulated Ground Motions consistent with Seismic Hazard

Akemi Nishida; Sayaka Igarashi; Shigehiro Sakamoto; Yasuo Uchiyama; Ken Muramatsu


Aij Journal of Technology and Design | 2010

DEVELOPMENT OF EARTHQUAKE DISASTER PREVENTION SYSTEM USING BOTH EARTHQUAKE EARLY WARNING AND INFORMATION OF P-WAVE FROM ONSITE SEISMOMETER AND ITS PERFORMANCE

Tatsuya Itoi; Yasuo Uchiyama; Masayoshi Takaki; Takatoshi Sueda; Ichiro Nagashima


Journal of Japan Association for Earthquake Engineering | 2016

Short-period Spectral Level and Path Characteristics of The 2016 Kumamoto Earthquake Using Spectral Inversion Method

Yasuo Uchiyama; Yu Yamamoto


Nuclear Engineering and Design | 2015

Hazard-consistent ground motions generated with a stochastic fault-rupture model

Akemi Nishida; Sayaka Igarashi; Shigehiro Sakamoto; Yasuo Uchiyama; Yu Yamamoto; Ken Muramatsu; Tsuyoshi Takada


Aij Journal of Technology and Design | 2015

DEVELOPMENT OF EARTHQUAKE ALERT SYSTEM USING ONSITE SEISMOMETERS AND ITS PERFORMANCE

Koji Hiroishi; Yasuo Uchiyama; Yu Yamamoto; Masayoshi Takaki


Journal of Japan Association for Earthquake Engineering | 2014

The Influence of Weighted Regression Analysis and Diversity of Strong Motion Data on the Distance-Dependent Variance of Peak Ground Acceleration and Peak Ground Velocity

Yasuo Uchiyama

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Akemi Nishida

Japan Atomic Energy Agency

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Saburoh Midorikawa

Tokyo Institute of Technology

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