Using the ensemble adjustment Kalman filter for stiffness evaluation of an earth-fill dam
-
- Ren Yuxiang
- Graduate School of Environmental and Life Science, Okayama University
-
- Nishimura Shinichi
- Graduate School of Environmental and Life Science, Okayama University
-
- Shibata Toshifumi
- Graduate School of Environmental and Life Science, Okayama University
-
- Shuku Takayuki
- Graduate School of Environmental and Life Science, Okayama University
Bibliographic Information
- Other Title
-
- アンサンブルアジャストメントカルマンフィルタによるアースフィルダムの剛性評価
Abstract
<p>A method using data assimilation to estimate the spatial distribution of ground stiffness within a large area is presented. It is hard to use traditional geologic surveys like standard penetration test and surface wave method to evaluate the uncertainty of the ground. The ensemble data assimilation can be used to assimilate the observations of numerical models and estimate the parameters of a physical system through the Monte Carlo method and the uncertainty of estimate can then be evaluated by ensemble spread. This research tries to carry out the velocity of the elastic wave into assimilation to estimate the parameters and evaluate the uncertainty. In the numerical experiments, the effectiveness of the assimilation method has been verified through the reproduction of observation of wave velocity and the numerical models have been improved by creating an initial ensemble with reasonable correlation length which affects the estimate considerably.</p>
Journal
-
- NCTAM papers, National Congress of Theoretical and Applied Mechanics, Japan
-
NCTAM papers, National Congress of Theoretical and Applied Mechanics, Japan 66 (0), 71-, 2022
National Committee for IUTAM
- Tweet
Details 詳細情報について
-
- CRID
- 1390856738296507776
-
- Text Lang
- en
-
- Data Source
-
- JaLC
-
- Abstract License Flag
- Disallowed