Development of visualization index to investigate statistical uncertainty on reliability-based design optimization

2017 Fiscal Year Final Research Report

• Project/Area Number: 16K13738
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Computational science
• Research Institution: Osaka Prefecture University
• Principal Investigator: KOGISO NOZOMU 大阪府立大学, 工学(系)研究科(研究院), 准教授 (70295715)
• Project Period (FY): 2016-04-01 – 2018-03-31
• Keywords: 統計的不確定性 / 信頼性に基づく最適設計 / 見える化 / 信頼性指標 / CRI

Outline of Final Research Achievements

During the two-year research, "epistemic reliability index" is proposed as a visualization index to quantify the effect of the statistical uncertainty on the reliability-based optimum design considering the physical uncertainty. This index is proposed through an academic paper published online in FY2018. This index quantifies a necessity margin to consider the statistical uncertainty to the design considers only the physical uncertainty. In addition, it is clarified theoretically that this index takes a constant value regardless of design variables. Therefore, the index is obtained efficiently that is sufficient to calculate once during the optimization process. The validity of the proposed method is demonstrated through the actual design example of smart space structural component as well as numerical examples.

Free Research Field

信頼性工学，航空宇宙システム工学