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Leixin Ma
Leixin Ma
Assistant Professor at Arizona State University. MIT PhD
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
An investigation into the hydrodynamics of a flexible riser undergoing vortex-induced vibration
L Song, S Fu, J Cao, L Ma, J Wu
Journal of Fluids and Structures 63, 325-350, 2016
1632016
Experimental investigation of the response performance of VIV on a flexible riser with helical strakes
Y Gao, S Fu, L Ma, Y Chen
Ships and Offshore Structures 11 (2), 113-128, 2016
412016
Flexible cylinder flow-induced vibration
L Ma, K Lin, D Fan, J Wang, MS Triantafyllou
Physics of Fluids 34 (1), 2022
322022
Theoretical and numerical analysis of bending behavior of unbonded flexible risers
M Zhang, X Chen, S Fu, Y Guo, L Ma
Marine structures 44, 311-325, 2015
312015
Revealing the effects of damping on the flow-induced vibration of flexible cylinders
JK Vandiver, L Ma, Z Rao
Journal of Sound and Vibration 433, 29-54, 2018
292018
A hybrid FEM-DNN-based vortex-induced Vibration Prediction Method for Flexible Pipes under oscillatory flow in the time domain
Z Mengmeng, S Fu, H Ren, L Ma, Y Xu
Ocean Engineering 246, 2022
162022
Tension and drag forces of flexible risers undergoing vortex-induced vibration
L Song, S Fu, M Li, Y Gao, L Ma
China Ocean Engineering 31 (1), 1-10, 2017
152017
Using machine learning to identify important parameters for flow-induced vibration
L Ma, TL Resvanis, JK Vandiver
International Conference on Offshore Mechanics and Arctic Engineering 84355 …, 2020
112020
A hybrid empirical-numerical method for hydroelastic analysis of a floater-and-net system
L Ma, K Hu, S Fu, T Moan, R Li
Journal of Ship Research 60 (01), 14-29, 2016
112016
Understanding the higher harmonics of vortex-induced vibration response using a trend-constrained, machine learning approach
L Ma, TL Resvanis, JK Vandiver
Marine Structures 83, 103195, 2022
82022
A weighted sparse-input neural network technique applied to identify important features for vortex-induced vibration
L Ma, TL Resvanis, JK Vandiver
AAAI MLPS 2020, 2020
82020
Interpretable machine learning for insight extraction from rigid cylinder flow-induced vibration phenomena
L Ma
Applied Ocean Research 119, 102975, 2022
72022
Nonlinear hydrodynamics of a floating cylinder in oscillatory flow alone and combined with a current
K Hu, S Fu, L Ma, L Song
Journal of Waterway, Port, Coastal, and Ocean Engineering 143 (2), 04016015, 2017
72017
Numerical study of vortex-induced vibrations of a circular cylinder at different incidence angles
Y Gao, Z Jiang, L Ma, S Fu, G He, C Shi
Ocean Engineering 259, 111858, 2022
42022
Enhancing machine learning models with prior physical knowledge to aid in VIV response prediction
L Ma, T Resvanis, JK Vandiver
OMAE 2021, 2021
42021
Understanding flow-induced vibration via a physics-constrained, data-driven approach
L Ma
Massachusetts Institute of Technology, 2021
42021
Does more tension reduce VIV?
JK Vandiver, L Ma
International Conference on Offshore Mechanics and Arctic Engineering 57700 …, 2017
42017
不同浸没深度下水平圆柱体的水动力特性试验研究
胡克, 付世晓, 许玉旺, 马磊鑫
船舶力学 21 (10), 1190-1198, 2017
42017
The influence of mode dominance and traveling waves on flexible cylinder flow-induced vibration
L Ma, TL Resvanis, JK Vandiver
Ocean Engineering 264, 111750, 2022
32022
Using superposition of undamped modes to model non-orthogonally damped systems
L Ma
Massachusetts Institute of Technology, 2017
32017
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Articles 1–20