Topology Optimum Design Considering Uncertainty of Space Smart Structural Systems
Project/Area Number |
22560784
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Aerospace engineering
|
Research Institution | Osaka Prefecture University |
Principal Investigator |
KOGISO Nozomu 大阪府立大学, 大学院・工学研究科, 准教授 (70295715)
|
Co-Investigator(Kenkyū-buntansha) |
NISHIWAKI Shinji 京都大学, 大学院・工学研究科, 教授 (10346041)
|
Project Period (FY) |
2010 – 2012
|
Project Status |
Completed (Fiscal Year 2012)
|
Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2011: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2010: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
Keywords | 構造 / 材料 / 不確定性 / ロバスト性 / 宇宙構造 / 最適設計 / 確率過程 / パワースペクトル / ロバスト設計 |
Research Abstract |
Recently, a large-scale and high precision space structural system is required. A smart structural system that integrates sensors and actuators into the structure is acandidate of such high precision space structures. In designing such a high precisionspace structure, uncertainties on applied load or material properties should be considered. Such uncertainties often have spatially-varied distributions. For the purpose, we developed a new robust topology optimization approach considering such uncertainty by adopting the stationary stochastic process. Since the stochastic process model can reduce the number of random parameters, the computational efficient design approach is achieved.
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Report
(4 results)
Research Products
(26 results)