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        Dynamic Analysis of Offshore Wind Turbine Foundations in Soft Clays

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        Author(s)
        Cheng, Xinglei
        Lu, Dechun
        Wang, Piguang
        Language
        English
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        Abstract
        This open access book. This book primarily introduces the dynamic analysis of typical offshore wind turbines foundations in soft clays under marine environmental loads. The dynamic behaviors and bearing performance of offshore wind turbines foundations will be interesting to students and researchers in offshore geotechnical engineering. This book systematically elaborates on numerical analysis methods and dynamic response laws of offshore wind turbine foundations using the calculation flowchart, numerical model diagram, and displacement vector diagram, etc. It can guide readers to apply numerical methods to explore dynamic behavior of offshore foundations, and address the challenges in the design of offshore wind turbine foundation.
        URI
        https://library.oapen.org/handle/20.500.12657/97053
        Keywords
        Offshore Wind Turbine; Offshore Foundation; Pile; Suction Bucket; Cyclic Loading; Seismic Loading; Dynamic Analysis; Soft Clay; Constitutive Model; P-y Model; Bounding Surface Theory
        DOI
        10.1007/978-981-97-9454-6
        ISBN
        9789819794546, 9789819794546, 9789819794539
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Singapore, 2025
        Grantor
        • National Natural Science Foundation of China - [...]
        Imprint
        Springer Nature Singapore
        Classification
        Marine engineering
        Wind power
        Pages
        254
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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