Evaluation of the spatial variability of cone penetration resistance inside an earth-fill dam composed of materials with different particle sizes with use of geostatistics

Kazunari Imaide, S. Nishimura, T. Shibata, T. Shuku

Research output: Contribution to conferencePaperpeer-review

Abstract

In this study, an evaluation method is proposed for the spatial variability of the soil strength derived from the results of cone penetration tests (CPTs) conducted inside an earth-fill dam composed of mixed materials with different particle size distributions. First, in order to reduce the influence of outliers, which have high values or low values, on the modeling of the random field, the measured values are divided into outliers and the others, namely, high, middle, and low groups, respectively. Second, a statistical model is determined for each of the three groups, and the spatial variability of the soil strength considering the outliers is evaluated based on the simulation results of the three groups. The novelty of the approach exists in the re-composition of the simulated values of the three groups. In the proposed method, the measured values are statistically modeled, including the spike-like distribution affected by the outliers. Finally, the estimated values obtained by the proposed method and the measured values are compared at the same location to confirm their correspondence. As a result, it is verified that the proposed method can be used to reasonably simulate the spatial variability of the soil strength inside an earth-fill dam considering outliers.

Original languageEnglish
Publication statusPublished - 2020
Event16th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering, ARC 2019 - Taipei, Taiwan, Province of China
Duration: Oct 14 2019Oct 18 2019

Conference

Conference16th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering, ARC 2019
CountryTaiwan, Province of China
CityTaipei
Period10/14/1910/18/19

Keywords

  • Cone penetration test
  • Earth-fill dam
  • Geostatistical method
  • Outliers
  • Semi-variogram
  • Spatial variability

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology

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