Uncertainty Quantification in Laminated Composites : A Meta-model Based Approach / by Sudip Dey, Tanmoy Mukhopadhyay and Sondipon Adhikari.
By: Dey, Sudip [author.].
Contributor(s): Mukhopadhyay, Tanmoy [author.] | Adhikari, Sondipon [author.] | Taylor and Francis.
Material type: BookPublisher: Boca Raton, FL : CRC Press, 2018Edition: First edition.Description: 1 online resource (374 pages) : 203 illustrations, text file, PDF.Content type: text Media type: computer Carrier type: online resourceISBN: 9781315155593.Subject(s): Laminated Materials | Uncertainty | Laminated materials -- Mathematical models | SCIENCE / Mechanics / General | TECHNOLOGY & ENGINEERING / Material Science | probabilistic approach | sensitivity of material | stability analysis | stochasticity | vibration analysisGenre/Form: Electronic books.Additional physical formats: Print version: : No titleDDC classification: 620.118 Online resources: Click here to view. Also available in print format.Includes bibliographical references and index.
Table of Contents -- Introduction -- Uncertainty quantification in composite structures: An overview -- Stochastic dynamic analysis of laminated composite plates -- Stochastic free vibration analysis of pre-twisted singly curved composite shells -- Stochastic dynamic analysis of doubly curved composite shells -- Effect of operational uncertainties on the stochastic dynamics of composite laminates -- Effect of environmental uncertainties on the free vibration analysis of composite laminates -- Effect of cutout on the stochastic free vibration analysis of twisted composite panels -- Stochastic dynamic stability analysis of composite laminates -- Uncertainty quantification for skewed laminated soft-core sandwich panels -- Fuzzy uncertainty quantification in composite laminates -- Comparative assessment of Kriging variants for stochastic analysis of composites -- A comparative study on metamodel based stochastic analysis of composite structures -- Bibliography.
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.
Also available in print format.
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