Deep neural operators can predict the real-time response of floating offshore structures under irregular waves

Cao, Qianying; Goswami, Somdatta; Tripura, Tapas; Chakraborty, Souvik; Karniadakis, George Em

doi:10.1016/j.compstruc.2023.107228

Title: Deep neural operators can predict the real-time response of floating offshore structures under irregular waves

Journal Article · 01 January 2024 · Computers and Structures

DOI: https://doi.org/10.1016/j.compstruc.2023.107228 · OSTI ID:2212819

; Goswami, Somdatta; Tripura, Tapas; Chakraborty, Souvik; Karniadakis, George Em

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Sponsoring Organization:: USDOE

Grant/Contract Number:: SC0023191

OSTI ID:: 2212819

Journal Information:: Computers and Structures, Journal Name: Computers and Structures Vol. 291 Journal Issue: C; ISSN 0045-7949

Publisher:: ElsevierCopyright Statement

Country of Publication:: United Kingdom

Language:: English

References (26)

Real-time prediction of 6-DOF motions of a turret-moored FPSO in harsh sea state Guo, Xiaoxian; Zhang, Xiantao; Lu, Wenyue Ocean Engineering, Vol. 265 https://doi.org/10.1016/j.oceaneng.2022.112500	journal	December 2022
Mean and low frequency wave drifting forces on floating structures Pinkster, J. A. Ocean Engineering, Vol. 6, Issue 6 https://doi.org/10.1016/0029-8018(79)90010-6	journal	January 1979
Time-series forecasting of ships maneuvering in waves via dynamic mode decomposition Diez, Matteo; Serani, Andrea; Campana, Emilio F. Journal of Ocean Engineering and Marine Energy, Vol. 8, Issue 4 https://doi.org/10.1007/s40722-022-00243-0	journal	July 2022
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks Wu, Chenxi; Zhu, Min; Tan, Qinyang Computer Methods in Applied Mechanics and Engineering, Vol. 403 https://doi.org/10.1016/j.cma.2022.115671	journal	January 2023
Neural Network Meta-Models for FPSO Motion Prediction From Environmental Data With Different Platform Loads Cotrim, Lucas P.; Barreira, Rodrigo A.; Santos, Ismael H. F. IEEE Access, Vol. 10 https://doi.org/10.1109/ACCESS.2022.3199009	journal	January 2022
Laplace Domain Approach for Computing Transient Response of Simple Oscillators to Stationary Excitation Hu, Sau-Lon James; Cao, Qianying; Li, Hua-Jun Journal of Engineering Mechanics, Vol. 144, Issue 9 https://doi.org/10.1061/(ASCE)EM.1943-7889.0001517	journal	September 2018
Prediction of dynamic and structural responses of submerged floating tunnel using artificial neural network and minimum sensors Kwon, Do-Soo; Jin, Chungkuk; Kim, MooHyun Ocean Engineering, Vol. 244 https://doi.org/10.1016/j.oceaneng.2021.110402	journal	January 2022
A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials Goswami, Somdatta; Yin, Minglang; Yu, Yue Computer Methods in Applied Mechanics and Engineering, Vol. 391 https://doi.org/10.1016/j.cma.2022.114587	journal	March 2022
Learning functionals via LSTM neural networks for predicting vessel dynamics in extreme sea states del Águila Ferrandis, J.; Triantafyllou, M. S.; Chryssostomidis, C. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 477, Issue 2245 https://doi.org/10.1098/rspa.2019.0897	journal	January 2021
Motion estimation and system identification of a moored buoy via physics-informed neural network Li, He-Wen-Xuan; Lu, Lin; Cao, Qianying Applied Ocean Research, Vol. 138 https://doi.org/10.1016/j.apor.2023.103677	journal	September 2023
Predicting heave and surge motions of a semi-submersible with neural networks Guo, Xiaoxian; Zhang, Xiantao; Tian, Xinliang Applied Ocean Research, Vol. 112 https://doi.org/10.1016/j.apor.2021.102708	journal	July 2021
Sparse identification of nonlinear dynamics with low-dimensionalized flow representations Fukami, Kai; Murata, Takaaki; Zhang, Kai Journal of Fluid Mechanics, Vol. 926 https://doi.org/10.1017/jfm.2021.697	journal	September 2021
Realtime prediction of dynamic mooring lines responses with LSTM neural network model Qiao, Dongsheng; Li, Peng; Ma, Gang Ocean Engineering, Vol. 219 https://doi.org/10.1016/j.oceaneng.2020.108368	journal	January 2021
Wave episode based Gaussian process regression for extreme event statistics in ship dynamics: Between the Scylla of Karhunen–Loève convergence and the Charybdis of transient features Guth, Stephen; Sapsis, Themistoklis P. Ocean Engineering, Vol. 266 https://doi.org/10.1016/j.oceaneng.2022.112633	journal	December 2022
Nonlinear Response Prediction of Spar Platform in Deep Water Using an Artificial Neural Network Arifuzzaman, Md; Uddin, Md. Alhaz; Jameel, Mohammed Applied Sciences, Vol. 12, Issue 12 https://doi.org/10.3390/app12125954	journal	June 2022
Standardization in building an ANN-based mooring line top tension prediction system Lee, Daesoo; Lee, Seungjae; Lee, Jaeyong International Journal of Naval Architecture and Ocean Engineering, Vol. 14 https://doi.org/10.1016/j.ijnaoe.2021.11.004	journal	January 2022
Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems IEEE Transactions on Neural Networks, Vol. 6, Issue 4 https://doi.org/10.1109/72.392253	journal	July 1995
Wavelet Neural Operator for solving parametric partial differential equations in computational mechanics problems Tripura, Tapas; Chakraborty, Souvik Computer Methods in Applied Mechanics and Engineering, Vol. 404 https://doi.org/10.1016/j.cma.2022.115783	journal	February 2023
An EMD-LSTM-SVR model for the short-term roll and sway predictions of semi-submersible Ye, Yutu; Wang, Lei; Wang, Yiting Ocean Engineering, Vol. 256 https://doi.org/10.1016/j.oceaneng.2022.111460	journal	July 2022
Data assimilation for deterministic prediction of vessel motion in real-time Liong, C. T.; Chua, K. H. Ocean Engineering, Vol. 244 https://doi.org/10.1016/j.oceaneng.2021.110356	journal	January 2022
A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data Lu, Lu; Meng, Xuhui; Cai, Shengze Computer Methods in Applied Mechanics and Engineering, Vol. 393 https://doi.org/10.1016/j.cma.2022.114778	journal	April 2022
Learning two-phase microstructure evolution using neural operators and autoencoder architectures Oommen, Vivek; Shukla, Khemraj; Goswami, Somdatta npj Computational Materials, Vol. 8, Issue 1 https://doi.org/10.1038/s41524-022-00876-7	journal	September 2022
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators Lu, Lu; Jin, Pengzhan; Pang, Guofei Nature Machine Intelligence, Vol. 3, Issue 3 https://doi.org/10.1038/s42256-021-00302-5	journal	March 2021
Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms Goswami, Somdatta; Li, David S.; Rego, Bruno V. Journal of The Royal Society Interface, Vol. 19, Issue 193 https://doi.org/10.1098/rsif.2022.0410	journal	August 2022
A new approach to predict dynamic mooring tension using LSTM neural network based on responses of floating structure Wang, Ziming; Qiao, Dongsheng; Yan, Jun Ocean Engineering, Vol. 249 https://doi.org/10.1016/j.oceaneng.2022.110905	journal	April 2022
Data-driven models for vessel motion prediction and the benefits of physics-based information Schirmann, Matthew L.; Collette, Matthew D.; Gose, James W. Applied Ocean Research, Vol. 120 https://doi.org/10.1016/j.apor.2021.102916	journal	March 2022

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