| Project/Area Number |
26630451
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Naval and maritime engineering
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| Research Institution | Yokohama National University |
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Principal Investigator |
Kawamura Yasumi 横浜国立大学, 大学院工学研究院, 教授 (50262407)
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| Co-Investigator(Kenkyū-buntansha) |
宮路 幸二 横浜国立大学, 大学院工学研究院, 准教授 (60313467)
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| Co-Investigator(Renkei-kenkyūsha) |
HINO Takanori 横浜国立大学, 大学院工学研究院, 教授 (60373429)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 不確定性解析 / 材料・構造力学 / 流体力学 / 応答曲面 / 多項式カオス展開 / カオス多項式展開 / 流体 / 構造・流体 / PCE |
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| Outline of Final Research Achievements |
In order to evaluate the uncertainty of response for the problem with inherent uncertainties, Monte Carlo simulation (MCS) is usually used in which many deterministic analyses should be carried out by changing the inherent uncertainty parameters. However, as the problem becomes more complicated, the cost of the analysis becomes high so that application of MCS for the uncertainty analysis becomes difficult. In this study, by applying response surface methodology with polynomial chaos expansion (PCE) to the partial differential equations directly, the stochastic analysis formulation is developed which is a natural extension of the deterministic problem to the space of random variables. The effectiveness and validity of the stochastic formulation is investigated for the structural problems (elastostatics and eigenvalue problem) and the fluid problems (compressible quasi-1D flow).
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