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Machine-learning prediction of underwater shock loading on structures
Mou Zhang
,
Dimitris Drikakis
, Lei Li
, Xiu Yan
Beijing Institute of Space Long March Vehicle
University of Strathclyde
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peer-review
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Keyphrases
Machine Learning Prediction
100%
Underwater Shock Loading
100%
Structural Damping
100%
Structural Stiffness
100%
Underwater Explosion
100%
Attenuation
50%
Machine Learning Techniques
50%
Finite Element Method
50%
Governing Equation
50%
Analytical Solution
50%
Momentum Transfer
50%
Shock Waves
50%
LS-DYNA
50%
Cavitation
50%
Parallel Plates
50%
Parameter Prediction
50%
Maximum Time
50%
Back Propagation (BP) Neural Network
50%
Planar Shock Wave
50%
Equation Solving
50%
Laplace Transform
50%
Dashpot
50%
Linear Spring
50%
Inverse Laplace Transform
50%
Back-propagation Artificial Neural Network (BP-ANN)
50%
Maximal Momentum
50%
Shock Load
50%
Coupled Ordinary Differential Equations
50%
ANSYS
50%
Parametric Training
50%
Result Prediction
50%
Fourth-order Runge-Kutta Method
50%
Detonation Point
50%
Engineering
Inverse Laplace Transform
50%