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効率的シミュレーションによる構造信頼性解析
https://kindai.repo.nii.ac.jp/records/18185
https://kindai.repo.nii.ac.jp/records/1818585d0a184-d104-421a-91e7-feef913a1a68
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
AA12315376-20160315-0005.pdf (543.1 kB)
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| Item type | ☆紀要論文 / Departmental Bulletin Paper(1) | |||||||||
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| 公開日 | 2016-11-08 | |||||||||
| タイトル | ||||||||||
| タイトル | 効率的シミュレーションによる構造信頼性解析 | |||||||||
| タイトル | ||||||||||
| タイトル | Structural Reliability Analysis Based on an Efficient Simulation Method | |||||||||
| 言語 | en | |||||||||
| 著者 |
奥田, 昇也
× 奥田, 昇也
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| 言語 | ||||||||||
| 言語 | jpn | |||||||||
| キーワード | ||||||||||
| 主題 | Monte Carlo simulation, Structural failure probability, Directional Importance Sampling, Partition of the region method, variance reduction method | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| 資源タイプ | departmental bulletin paper | |||||||||
| 著者(英) | ||||||||||
| 言語 | en | |||||||||
| 値 | OKUDA, Shoya | |||||||||
| 著者 所属 | ||||||||||
| 値 | 近畿大学工業高等専門学校総合システムエ学科機械システムコース | |||||||||
| 著者所属(翻訳) | ||||||||||
| 値 | Kindai University Technical College | |||||||||
| 版 | ||||||||||
| 出版タイプ | NA | |||||||||
| 出版タイプResource | http://purl.org/coar/version/c_be7fb7dd8ff6fe43 | |||||||||
| 出版者 名前 | ||||||||||
| 出版者 | 近畿大学工業高等専門学校 | |||||||||
| 書誌情報 |
近畿大学工業高等専門学校研究紀要 en : Research reports Kindai University Technical College 号 9, p. 5-10, 発行日 2016-03-15 |
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| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 18824374 | |||||||||
| 抄録 | ||||||||||
| 内容記述タイプ | Abstract | |||||||||
| 内容記述 | This paper describes an estimation method of the structural failure probability based on an efficient Monte Carlo simulation, with which variance reduction methods of a directional importance sampling and a partition of the region are combined to improve the simulation efficiency. The structural failure probability is formulated by using a radial variable and a directional variable. Samples of the radial variable are generated from a truncated chi-square p.d.f. defined outside the β-sphere region. And instead of constructing a directional importance sampling p.d.f. beforehand, directional variable samples are determined from those generated by an importance sampling p.d.f. centered at the design points on the limit state surfaces in the rectangular coordinates and the probability volume contained in a hyperconical domain subtended by an infinitesimal increment at the respective determined directional variable is evaluated numerically and adopted it equivalently as a directional importance sampling probability density of the sampled direction. Numerical examples show that the proposed method gives accurate estimations of structural failure probabilities efficiently. | |||||||||
| フォーマット | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | application/pdf | |||||||||
