OMAE2020-18175 An Efficient Importance Sampling Method for the Long-Term Mooring Lines Response Estimation Considering Wind Sea and Swell Sudati

von Simao, Marina Leivas
Veröffentlicht in ASME International Conference on Ocean, Offshore and Arctic Engineering (39. : 2020 : Online) Proceedings of the ASME 39th International Conference on Ocean, Offshore and Arctic Engineering - 2020 ; Volume 2, A (2020)

OMAE2020-18306 Reliability Analysis of Mooring Lines of Floating Structures Under Corrosion and Material Degradation

von Gomes, Ricardo Soares Junior
Veröffentlicht in ASME International Conference on Ocean, Offshore and Arctic Engineering (39. : 2020 : Online) Proceedings of the ASME 39th International Conference on Ocean, Offshore and Arctic Engineering - 2020 ; Volume 2, A (2020)

OMAE2020-18868 On the Use of Artificial Neural Networks for Estimating the Long-Term Mooring Lines Response Considering Wind Sea and Swell

von Gonzalez, Gabriel Mattos
Veröffentlicht in ASME International Conference on Ocean, Offshore and Arctic Engineering (39. : 2020 : Online) Proceedings of the ASME 39th International Conference on Ocean, Offshore and Arctic Engineering - 2020 ; Volume 2, A (2020)

OMAE2022-79098 A Monte Carlo Approach for Fatigue Analysis of Mooring Lines Subjected to Simultaneous Environmental Actions

von Seabra, Pedro de Amorim
Veröffentlicht in ASME International Conference on Ocean, Offshore & Arctic Engineering (41. : 2022 : Hamburg) Proceedings of ASME 2022 41st International Conference on Ocean, Offshore & Arctic Engineering (OMAE 2022) ; Volume 2: Structures, safety, and reliability (2022)

OMAE2022-79118 A Hybrid Time-Frequency Domain Approach for Estimating Mooring Lines Dynamic Response

von Simão, Marina Leivas
Veröffentlicht in ASME International Conference on Ocean, Offshore & Arctic Engineering (41. : 2022 : Hamburg) Proceedings of ASME 2022 41st International Conference on Ocean, Offshore & Arctic Engineering (OMAE 2022) ; Volume 2: Structures, safety, and reliability (2022)