| Project/Area Number |
20J11957
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| Research Category |
Grant-in-Aid for JSPS Fellows
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| Allocation Type | Single-year Grants |
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| Section | 国内 |
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| Review Section |
Basic Section 31010:Nuclear engineering-related
|
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| Research Institution | Tohoku University |
|---|
Principal Investigator |
宋 海成 東北大学, 工学研究科, 特別研究員(DC2)
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| Project Period (FY) |
2020-04-24 – 2022-03-31
|
| Project Status |
Completed (Fiscal Year 2021)
|
| Budget Amount *help |
¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 2021: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2020: ¥900,000 (Direct Cost: ¥900,000)
|
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| Keywords | reliability analysis / pipe wall thinning / fracture mechanics / probability of detection / Probability of detection / Inverse analysis / Reliability analysis / Local wall thinning / Sensor placement |
|---|
| Outline of Research at the Start |
This study aims to develop more effective methodology for managing the risk of pipe wall thinning by quantifying the uncertainties arising in nondestructive inspection of the wall thinning, the quantification results will be considered to predict failure rate of pipe to assess the risk.
|
| Outline of Annual Research Achievements |
This study aims to develop a pipe reliability analysis framework that is able to incorporate the quantifications of detection uncertainty and sizing uncertainty. A hierarchical Bayesian network was built to represent the conditional relationship among the variables. Accordingly, a Bayesian model was formulated to incorporate the developed multi-variable POD model and the quantification model of estimation error to calibrate the prediction model of wall thinning with nondestructive evaluation data to achieve reasonable reliability analysis.
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| Research Progress Status |
令和3年度が最終年度であるため、記入しない。
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| Strategy for Future Research Activity |
令和3年度が最終年度であるため、記入しない。
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