Application for Surface-Wave Method to property of embankment

Kawajiri, Shunzo; Kawaguchi, Takayuki; Hashimoto, Hijiri; Tanaka, Yūki; Nakamura, Dai

doi:10.3208/jgs.13.61

Cited by 4 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 12 shows the status of the survey lines for the surface-wave method performed on the levee crown of the reinforced embankment. Kawajiri et al [8] reports that the difference in dry density can be evaluated by the S-wave velocity obtained from the surface-wave method in test embankments with different D c . In addition, it has been reported that the S-wave velocity obtained from the surface-wave method locally decreases in the geosynthetics reinforced soil wall where the deformation occurred [9,10].…”

Section: Changes In Strain Gauges and Earth Pressure Gaugesmentioning

confidence: 99%

Case Study on Field Observation of Reinforced Embankment in Snowy Cold Region

Ogasawara

Kawaguchi

Nakamura

et al. 2021

Int. J. of Geosynth. and Ground Eng.

Self Cite

View full text Add to dashboard Cite

This report describes a case where counterweight fill using a high-intensity geotextile is applied as a measure to prevent landslide. In addition, this report shows the strain acting on the reinforcing material during and after construction, the earth pressure gauge installed in the embankment, and the field measurement results of the surface-wave method. From a series of observation results, no strain acting on the geotextiles was confirmed, nor was there any abnormality in the reinforced embankment. Furthermore, no local decrease in the S-wave velocity could be confirmed, and no change in the internal state of the reinforced embankment could be confirmed.

show abstract

Section: Changes In Strain Gauges and Earth Pressure Gaugesmentioning

confidence: 99%

Case Study on Field Observation of Reinforced Embankment in Snowy Cold Region

Ogasawara

Kawaguchi

Nakamura

et al. 2021

Int. J. of Geosynth. and Ground Eng.

Self Cite

View full text Add to dashboard Cite

show abstract

Inversion for Soil Property Through Data Assimilation of Rayleigh Wave

Yuxiang REN,

NISHIMURA,

SHIBATA

et al. 2024

Journal of JSCE

View full text Add to dashboard Cite

The characterization of geomaterials in the near-surface plays a crucial role in geotechnical and geophysical engineering. Surface wave methods, utilizing Rayleigh and Love waves, are widely employed for near-surface characterization due to their broad exploration scale. However, the inversion process in geophysics faces several challenges due to the ill-posed nature of the problems. In this paper, we propose a data assimilation approach based on the ensemble Kalman filter (EnKF) to estimate the parameters of geomaterials using active Rayleigh waves data. The EnKF is a popular ensemble data assimilation method known for its ability to handle high-dimensional and nonlinear problems. It approximates the distribution of state variables using a ensemble of a small number of samples. Unlike gradient-based generalized linear inversion methods, the EnKF-based inversion does not require the calculation of a Jacobian matrix, and the parameters are estimated based on the statistical relationship between parameters and observations. The proposed method enables joint inversion, allowing the simultaneous inversion of different types of observations to reduce non-uniqueness in the inversion problem. Numerical experiments demonstrate the effectiveness of the EnKF-based inversion method in estimating one-dimensional soil property models using dispersion curves as observation data. The method achieves accurate results with a small number of samples and provides quantitative estimates of the uncertainty. Joint inversion of dispersion curve and first arrival data was employed to estimate the parameters of a two-dimensional model. The results indicate that the accuracy of joint inversion using multiple types of observed data is higher.

show abstract