Surrogate neural network model for sensitivity analysis and uncertainty quantification of the mechanical behavior in the optical lens-barrel assembly
Computers & Structures(2022)
摘要
•Modeling of deformations in lenses due to various interferences during assembly in barrel.•Analysis of sensitivity and uncertainty propagation from interference to lens deformations.•Neural network as surrogate model for Monte-Carlo methods.•Nonlinear finite element analysis performed on high-performance computing (HPC) cluster to train neural network.
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关键词
Machine learning,Finite element analysis,Lens assembly,Sensitivity analyses,Uncertainty quantification,High performance computing
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