書誌事項
- タイトル別名
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- Corroborative Study of an Intelligent Hybrid Method Automatically Detecting and Eliminating Experinrental Measurement Errors. (Case of Elastic Deformation Field).
- ジッケン ケイソク ゴサ オ ジドウ ケンシュツ ジドウ ショウキョ スル インテリジェント ハイブリッドホウ ノ ジッショウテキ ケンキュウ ダンセイ ヘンケイバ ノ バアイ
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In a previous study, to minimize or eliminate the errors and noises associated with a full-field experimental measurement and subsequent fringe analysis such as moire interferomery, the authors have derived a variational principle minimizing the experimental measurement errors. Concepts of restoration forces and energies were also presented. Furthermore, the authors have developed an intelligent hybrid method based on this variational principle. In this study, first, a fringe-analysis method is developed together with the two-dimensional FFT. Then, experimentally recorded moire fringe patterns are analyzed by the fringe-analysis method. The conventional and present intelligent hybrid analyses are caried out using the analyzed fringe information as input data. The present method verifies the automatic detection of experimental noises and errors, and the simultaneous automatic elimination of those errors. This method also made it possible to obtain fairly smooth visualization of higher-order information such as the stress and strain distributions.
収録刊行物
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- 日本機械学会論文集A編
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日本機械学会論文集A編 66 (642), 326-333, 2000
一般社団法人 日本機械学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390282679424507264
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- NII論文ID
- 110002373405
- 10008203329
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- NII書誌ID
- AN0018742X
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- ISSN
- 18848338
- 03875008
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- NDL書誌ID
- 5287039
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可