RSF
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- Associate Professor
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (Pinyin):RSF
- School/Department:船舶工程学院
- Degree:博士
- Professional Title:Associate Professor
- Status:Employed
- Teacher College:College of Shipbuilding Engineering
- Discipline:Naval Architecture and Ocean Engineering
Contact Information
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- Paper Publications
- Damage prediction of ship cabins subjected to underwater contact explosion by deep neural network with grid search algorithm,OCEAN ENGINEERING,2024,312()
- Numerical study on dynamic buckling of a cylindrical shell subjected to underwater explosion,OCEAN ENGINEERING,2024,298()
- A Deep Learning-Based Computational Algorithm for Identifying Damage Load Condition: An Artificial Intelligence Inverse Problem Solution for Failure Analysis,CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES,2018,117(3):287-307
- Crushing study for interlocked armor layers of unbonded flexible risers with a modified equivalent stiffness method,INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERING,2019,11(1):521-529
- Damage prediction of stiffened plates subjected to underwater contact explosion using the machine learning-based method,OCEAN ENGINEERING,2022,266()
- Numerical study on the axial-torsional response of an unbonded flexible riser with damaged tensile armor wires,APPLIED OCEAN RESEARCH,2020,97()
- Bubble collapse patterns recognition and flow field prediction based on machine learning,Physics of Fluids,2024,36(8)
- Numerical study on the axial-torsional response of an unbonded flexible riser with damaged tensile armor wires,APPLIED OCEAN RESEARCH,2020,97()
- A Deep Learning-Based Computational Algorithm for Identifying Damage Load Condition: An Artificial Intelligence Inverse Problem Solution for Failure Analysis,CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES,2018,117(3):287-307
- Application of the deep neural network to predict dynamic responses of stiffened plates subjected to near-field underwater explosion,OCEAN ENGINEERING,2022,