Sequential data assimilation in geotechnical engineering and its application to seepage analysis

Kazuyuki Nakamura, Shinya Yamamoto, Makoto Honda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

There are many uncertainties in the geotechnical engineering design, which lead to prediction errors and risks in the real world. Sequential data assimilation is one of the most applicable methods to lessen these errors and risks, for partial observations can be obtained online and required computation time in numerical analysis has similar time scale of real geotechnical phenomena. We summarize characteristics of sequential data assimilation from the viewpoint of its application to geotechnical engineering and apply them to a seepage analysis using realistic simulation system. The result shows that application of sequential data assimilation with the particle filter gives a good estimation in seepage analysis.

Original languageEnglish
Title of host publicationFusion 2011 - 14th International Conference on Information Fusion
Publication statusPublished - 13 Sep 2011
Event14th International Conference on Information Fusion, Fusion 2011 - Chicago, IL, United States
Duration: 5 Jul 20118 Jul 2011

Publication series

NameFusion 2011 - 14th International Conference on Information Fusion

Conference

Conference14th International Conference on Information Fusion, Fusion 2011
CountryUnited States
CityChicago, IL
Period5/07/118/07/11

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Keywords

  • Data assimilation
  • Estimation
  • Particle filter
  • Seepage analysis

Cite this

Nakamura, K., Yamamoto, S., & Honda, M. (2011). Sequential data assimilation in geotechnical engineering and its application to seepage analysis. In Fusion 2011 - 14th International Conference on Information Fusion [5977690] (Fusion 2011 - 14th International Conference on Information Fusion).