A generalized computationally efficient inverse characterization approach combining direct inversion solution initialization with gradient-based optimization
Sign Up to like & getrecommendations! Published in 2017 at "Computational Mechanics"
DOI: 10.1007/s00466-016-1362-3
Abstract: A computationally efficient gradient-based optimization approach for inverse material characterization from incomplete system response measurements that can utilize a generally applicable parameterization (e.g., finite element-type parameterization) is presented and evaluated. The key to this inverse… read more here.
Keywords: gradient based; based optimization; gradient; inverse characterization ... See more keywords
Inverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion
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DOI: 10.1080/15376494.2021.1982090
Abstract: In this work, ultrasonic guided waves and a dual-branch version of convolutional neural networks are used to solve two different but related inverse problems, i.e., finding layup sequence type and identifying material properties. In the… read more here.
Keywords: dual branch; guided waves; neural networks; convolutional neural ... See more keywords