書誌事項
- タイトル別名
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- Structural Failure Probability Estimation Based on Quasi Ideal Importance Sampling Simulation
- キンジテキ リソウ ジュウテン サンプリング シミュレーションホウ ニ モトズク コウゾウ ハソン カクリツ スイテイホウ
この論文をさがす
抄録
This paper describes a quasi ideal importance sampling simulation combined with the conditional expectation method in a simulation-based structural reliability estimation. The marginal probability densities of a quasi ideal importance sampling are constructed numerically. The ranges of the basic random variables are split into several segments and the conditional failure probabilities are calculated at the center of the respective segments and the conditional failure probabilities are determined and the structural failure probability is evaluated approximately by a piecewise integration. The marginal densities of the quasi ideal importance sampling are so determined as to be proportional to the conditional failure probabilities at the respective segments and the structural failure probability evaluated approximately. As the numerical examples, the quasi ideal importance sampling simulations combined with the conditional expectation are executed to estimate the failure probabilities of structures with various limit state functions and the results are compared with those estimated by other simulation approaches. The proposed method gives the failure probability estimations accurately with shorter processing time.
本文データの一部は、CiNiiから複製したものである。
Departmental Bulletin Paper
application/pdf
収録刊行物
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- 近畿大学理工学部研究報告
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近畿大学理工学部研究報告 (43), 9-15, 2007-09-01
近畿大学理工学部
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詳細情報 詳細情報について
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- CRID
- 1050001202551004416
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- NII論文ID
- 110007025643
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- NII書誌ID
- AN00064168
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- ISSN
- 03864928
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- NDL書誌ID
- 9252405
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- 本文言語コード
- ja
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- 資料種別
- departmental bulletin paper
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- データソース種別
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- IRDB
- NDL
- CiNii Articles