TY - GEN
T1 - Geostatistical Analysis for Identifying Weak Soil Layers in Dikes
AU - Nishimura, S.
AU - Shibata, T.
AU - Shuku, T.
AU - Imaide, K.
N1 - Publisher Copyright:
© 2017 ASCE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2017
Y1 - 2017
N2 - The spatial distribution of the strength inside river dikes is generally identified through sounding tests. In this research, the electric cone penetration test (CPT) is employed, and spatially long- A nd short-interval tests are mixed to efficiently evaluate the piping risk to a dike. The indicator simulation (IS) method is used as the geostatistical method to simulate the N value distribution and to predict the weak area inside the dike. The synthesized approach of the CPT and the surface wave method (SWM), which is one of the geophysical methods, is proposed to compensate for the shortcoming of each approach when conducting the IS. Consequently, the correlation structure inside the dike can be identified accurately, the high resolution of the spatial distribution of the N values can be visualized, and the piping risk to the dike can be discussed based on the results of the investigation.
AB - The spatial distribution of the strength inside river dikes is generally identified through sounding tests. In this research, the electric cone penetration test (CPT) is employed, and spatially long- A nd short-interval tests are mixed to efficiently evaluate the piping risk to a dike. The indicator simulation (IS) method is used as the geostatistical method to simulate the N value distribution and to predict the weak area inside the dike. The synthesized approach of the CPT and the surface wave method (SWM), which is one of the geophysical methods, is proposed to compensate for the shortcoming of each approach when conducting the IS. Consequently, the correlation structure inside the dike can be identified accurately, the high resolution of the spatial distribution of the N values can be visualized, and the piping risk to the dike can be discussed based on the results of the investigation.
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U2 - 10.1061/9780784480724.048
DO - 10.1061/9780784480724.048
M3 - Conference contribution
AN - SCOPUS:85020894482
T3 - Geotechnical Special Publication
SP - 529
EP - 538
BT - Geotechnical Special Publication
A2 - Huang, Jinsong
A2 - Fenton, Gordon A.
A2 - Zhang, Limin
A2 - Griffiths, D. V.
PB - ASCE
T2 - Geo-Risk 2017
Y2 - 4 June 2017 through 7 June 2017
ER -