2022
DOI: 10.1007/s12206-022-0119-5
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Development of a prediction model using fully connected neural networks in the analysis of composite structures under bird strike

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Cited by 3 publications
(1 citation statement)
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“…Nimmer [6] obtained the triangular bird impact load waveform; Saeed [7] found that the coupled Eulerian Lagrangian method can also simulate the high-speed flying birds; Anghileri [8] found that when using particle flow to simulate bird body, the results obtained have a certain relationship with the density of particle flow, and dense particle flow is more conducive to the simulation of bird body. In addition, Haslc [9] also used the fully connected neural network to estimate the overall deformation of bird impact of laminated plates, and the results are also close to the actual situation.…”
Section: Introductionmentioning
confidence: 68%
“…Nimmer [6] obtained the triangular bird impact load waveform; Saeed [7] found that the coupled Eulerian Lagrangian method can also simulate the high-speed flying birds; Anghileri [8] found that when using particle flow to simulate bird body, the results obtained have a certain relationship with the density of particle flow, and dense particle flow is more conducive to the simulation of bird body. In addition, Haslc [9] also used the fully connected neural network to estimate the overall deformation of bird impact of laminated plates, and the results are also close to the actual situation.…”
Section: Introductionmentioning
confidence: 68%