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    On the Use of Dimension-Reduction Methods in Fatigue Analysis of Flexible Risers Subjected to Bimodal Seas 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2024:;volume( 147 ):;issue: 003:;page 31701-1
    Author(s): Vaillant, Alyson Gomes; Sagrilo, Luis Volnei Sudati; Custódio, Anderson Barata
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Fatigue analyses of flexible pipes through the application of long-term response statistics, when considering bimodal seas, are particularly challenging due to the excessive computational costs involved, since they require, ...
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    Using Convolutional Neural Networks in Installation Analysis of Lazy-Wave Flexible Risers 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2024:;volume( 147 ):;issue: 001:;page 11801-1
    Author(s): Barbosa, Felliphe Góes Fernandes; Gonzalez, Gabriel Mattos; Sagrilo, Luis Volnei Sudati
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The design phase of offshore installation projects is supported by numerical simulations. These analyses aim to evaluate the mechanical behavior of the equipment involved, such as vessels and flexible pipes, during that ...
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    Extreme Response Prediction of Steel Risers Using a Four Parameter Distribution 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2019:;volume( 141 ):;issue: 004:;page 41601
    Author(s): Ibarra, Miguel Alfonso Calderon; de Sousa, Fernando Jorge Mendes; Sagrilo, Luís Volnei Sudati; Low, Ying Min
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Short-term extreme response estimates are required in many areas of ocean and offshore engineering, such as steel risers design. As in many cases, the response in non-Gaussian, a theoretical solution, is usually not readily ...
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    Applied Deep Learning for Slender Marine Structure Dynamic Analysis 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2021:;volume( 144 ):;issue: 002:;page 21701-1
    Author(s): da Silva, Vinicius Ribeiro Machado; Sagrilo, Luis Volnei Sudati; de Araujo, Breno Serrano
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Nonlinear finite element models (FEMs) are commonly used to perform analysis in the time domain to simulate a limited number of stochastic loading scenarios that a slender marine structure may undergo, requiring a high ...
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