Uncertainty Quantification in Laminated Composites : A Meta-model Based Approach /
Over the last few decades, uncertainty quantification in composite materials and structures has gained a lot of attention from the research community as a result of industrial requirements. This book presents computationally efficient uncertainty quantification schemes following meta-model-based app...
| 主要な著者: | , , |
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| フォーマット: | text |
| 言語: | eng |
| 出版事項: |
Boca Raton : CRC Press, Taylor & Francis Group,
2019
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| 主題: |
| 要約: | Over the last few decades, uncertainty quantification in composite materials and structures has gained a lot of attention from the research community as a result of industrial requirements. This book presents computationally efficient uncertainty quantification schemes following meta-model-based approaches for stochasticity in material and geometric parameters of laminated composite structures. Several metamodels have been studied and comparative results have been presented for different static and dynamic responses. Results for sensitivity analyses are provided for a comprehensive coverage of the relative importance of different material and geometric parameters in the global structural responses. |
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