Risk Evaluation in Neighboring Work Using Data Assimilation
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- WAKABAYASHI Takashi
- Nikka Engineering, Co.,Ltd.
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- MURAKAMI Akira
- Graduate School of Agriculture, Kyoto University
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- SHUKU Takayuki
- Graduate School of Environmental and Life Science, Okayama University
Bibliographic Information
- Other Title
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- データ同化による近接施工のリスク評価
- データ ドウカ ニ ヨル キンセツ セコウ ノ リスク ヒョウカ
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Abstract
This paper presents the parameter identification of an elasto-plastic constitutive model for geomaterials and a risk evaluation for neighboring work based on a data assimilation using the particle filter (PF) and incorporating a soil-water coupled finite element analysis with an elasto-plastic model. After the numerical implementation of input data for the soil-water coupled FEM is examined, based on an in situ investigation, its applicability to an actual excavation work is discussed. A risk assessment for an alternative design, using the probability density which the PF computes and updates on the basis of observations, is also proposed. It is revealed that, for a practical example, the FEM results using the parameters identified by PF show a good agreement with the observations and that a quantitative and reliable risk evaluation can be achieved using the proposed method.
Journal
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- Transactions of The Japanese Society of Irrigation, Drainage and Rural Engineering
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Transactions of The Japanese Society of Irrigation, Drainage and Rural Engineering 80 (5), 425-435, 2012
The Japanese Society of Irrigation, Drainage and Rural Engineering
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Keywords
Details 詳細情報について
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- CRID
- 1390001205289666560
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- NII Article ID
- 10031171451
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- NII Book ID
- AA12240517
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- ISSN
- 18847242
- 18822789
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- NDL BIB ID
- 024064394
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed
