Convex model-based regularization method for force reconstruction
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Publication:6550145
DOI10.1016/J.CMA.2024.116986zbMATH Open1539.74533MaRDI QIDQ6550145
Wenqin Han, Bochao Lin, Chen Yang, Qinghe Shi, Kejun Hu, Zhenxian Luo
Publication date: 4 June 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Cites Work
- Correlation analysis of non-probabilistic convex model and corresponding structural reliability technique
- The inverse identification problem and its technical application
- Sparse identification of nonlinear dynamical systems via reweighted \(\ell_1\)-regularized least squares
- Fuzzy identification of dynamic loads in presence of structural epistemic uncertainties
- Uncertain identification method of structural damage for beam-like structures based on strain modes with noises
- A strategy to identify exciting forces acting on structures
- Novel bootstrap-based ellipsoidal convex model for non-probabilistic reliability-based design optimization with insufficient input data
- Interval strategy-based regularization approach for force reconstruction with multi-source uncertainties
- Matching the principal deformation mode method with the probability transformation method for the analysis of uncertain systems
Related Items (3)
Convex set-oriented singular value decomposition with bounded uncertainties ⋮ Damage identification method based on interval regularization theory ⋮ Efficient non-probabilistic parallel model updating based on analytical correlation propagation formula and derivative-aware deep neural network metamodel
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