Convex model-based regularization method for force reconstruction

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)

zbMATH Keywords

correlationuncertaintiesconvex modelforce reconstructiontruncated singular value regularization

Mathematics Subject Classification ID

Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)

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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