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改良方向重点サンプリング・シミュレーションに基づく構造システムの信頼性解析
https://kindai.repo.nii.ac.jp/records/12938
https://kindai.repo.nii.ac.jp/records/12938b2d57289-a75a-4ce9-b482-f1748535aa48
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
AA12315376-20150315-0005.pdf (3.0 MB)
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| Item type | ☆紀要論文 / Departmental Bulletin Paper(1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2015-12-25 | |||||||||
| タイトル | ||||||||||
| タイトル | 改良方向重点サンプリング・シミュレーションに基づく構造システムの信頼性解析 | |||||||||
| タイトル | ||||||||||
| タイトル | Structural Reliability Analysis Based on Improved Directional Important Sampling Simulation | |||||||||
| 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 | Simulation-Based Reliability Estimation, Variance Reduction, Directional Importance Sampling Simulation. | |||||||||
| 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工学科機械システムコース | |||||||||
| 著者所属(翻訳) | ||||||||||
| 値 | Kinki University Technical College | |||||||||
| 版 | ||||||||||
| 出版タイプ | VoR | |||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||
| 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 Kinki University Technical College 巻 8, p. 5-9, 発行日 2015-03-01 |
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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 study describes an efficient directional importance sampling method for the simulation-based estimation of the structural failure probability. The proposed method is composed of two-stage procedures. In the first stage, executing specified numbers of directional simulations, the conditional failure probabilities on various random directions are determined by calculating the radial distances from the origin to the failure surfaces. When the basic random variables are subject to the normal distributions, the conditional failure probabilities on the respective random directions are evaluated by using the upper probabilities of the chi-square distribution. Random directional vectors with the radial distances smaller than the minimum radial distance+3 are considered to have effective contributions to the structural failure probability, while random directions with the radial distances larger than minimum radial distance+3 are considered to be ineffective to the structural failure probability. It is proposed that by using random directions with the effective radial distances only, a directional importance sampling probability density is constructed on the basis of the respective upper probability of the chi-square distribution per unit hypersurface area. In the second stage, a directional importance sampling simulation is executed to estimate the structural failure probability by using the directional vector samples generated from the directional importance sampling probability density constructed in the first stage. Numerical examples to estimate the failure probability of structure with multiple failure surfaces and structure with nonlinear limit state function are presented to illustrate that the proposed method gives accurate estimations effectively. | |||||||||
| フォーマット | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | application/pdf | |||||||||
