Detection of stiffness degradation in laminated composite plates by filtered noisy impact testing
From MaRDI portal
Publication:1021042
DOI10.1007/s00466-007-0164-zzbMath1162.74395OpenAlexW2003852280MaRDI QIDQ1021042
Taehyo Park, Sang-Youl Lee, Guillermo Rus
Publication date: 8 June 2009
Published in: Computational Mechanics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00466-007-0164-z
Plates (74K20) Finite element methods applied to problems in solid mechanics (74S05) Composite and mixture properties (74E30)
Related Items (2)
Efficient formulations of the material identification problem using full-field measurements ⋮ Delamination identification and response prediction in composites using bivariate Gamma function-based microgenetic algorithms
Cites Work
- Unnamed Item
- Unnamed Item
- Finite elements based on a first-order shear deformation moderate rotation shell theory with applications to the analysis of composite structures
- Dynamic analysis of composite plates subjected to multi-moving loads based on a third order theory
- Identification of cracks and cavities using the topological sensitivity boundary integral equation
- Dynamic analysis of composite plate with multiple delaminations based on higher-order zigzag theory
- Postbuckling analysis of laminated composite plates subjected to the combination of in-plane shear, compression and lateral loading
- Defect identification in laminated composite structures by BEM from incomplete static data
- Detection of stiffness reductions in laminated composite plates from their dynamic response using the microgenetic algorithm
- Damage size estimation by the continuous wavelet ridge analysis of dispersive bending waves in a beam
- A combined genetic and eigensensitivity algorithm for the location of damage in structures
- Application of spectral beam finite element with a crack and iterative search technique for damage detection.
This page was built for publication: Detection of stiffness degradation in laminated composite plates by filtered noisy impact testing