journal article·2025-03

In-situ mechanical property identification and delamination growth prediction of laminates

Tongxiang Deng, Bo Gao, Huai Yan, Xinhao Chen, Qiang Yang, Songhe Meng

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OpenAlex topics: Mechanical Behavior of Composites · Composite Structure Analysis and Optimization · Ultrasonics and Acoustic Wave Propagation

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References (39)

Show source-provided references
1. Study on the effect of delamination defects on the mechanical properties of CFRP composites10.1016/j.engfailanal.2023.107576 ↗
2. Multifunctional application of carbon fiber reinforced polymer composites: electrical properties of the reinforcing carbon fibers – a short review10.1016/j.compositesb.2018.10.098 ↗
3. Experimental and numerical study on progressive damage and failure in composite laminates during open-hole compression tests
4. Study on probability model and length effect of tensile strength of unidirectional CFRP plate10.1016/j.compstruct.2023.117531 ↗
5. A practical approach for the non-local simulation of progressive damage in quasi-isotropic fibre-reinforced composite laminates10.1016/j.compstruct.2021.113761 ↗
6. Talreja · 2015 · 99
7. Hybrid identification method of material parameters based on genetic algorithm and improved homotopy algorithm
8. Mechanical properties prediction of composite laminate with FEA and machine learning coupled method10.1016/j.compstruct.2022.116086 ↗
9. Compressive response of composite laminates with defects
10. Identification of multiple mechanical properties of laminates from a single compressive test10.3390/ma15082950 ↗
11. Open-hole compression and digital image correlation based method for measuring interlaminar tensile strength of composites
12. Inverse identification of composite material properties by using a two-stage fourier method10.1007/s11340-018-0396-1 ↗
13. Approximate Bayesian assisted inverse method for identification of parameters of variable stiffness composite laminates10.1016/j.compstruct.2021.113853 ↗
14. A virtual fields method for identifying anisotropic elastic constants of fiber reinforced composites using a single tension test: theory and validation10.1016/j.compositesb.2020.108338 ↗
15. Identification of material properties of composite materials10.3846/1648-7788.2009.13.109-115 ↗
16. Size-dependent bending modulus of fibre composite laminates comprising unidirectional plies
17. An XFEM/CZM based inverse method for identification of composite failure parameters10.1016/j.compstruc.2015.02.035 ↗
18. Inverse identification of material constants of various cohesive laws for delamination of composites using experimental results
19. An efficient multi-parameter synchronous identification method for fiber-reinforced laminated structure based on improved Levenberg–Marquardt algorithm and modal data10.1007/s42417-022-00717-3 ↗
20. Material property identification of composite plates using neural network and evolution algorithm10.2514/2.1873 ↗
21. Measurement of interlaminar tensile strength and elastic properties of composites using open-hole compression testing and digital image correlation10.3390/app9132647 ↗
22. Advantages and challenges of Bayesian networks in environmental modelling10.1016/j.ecolmodel.2006.11.033 ↗
23. A distributed bayesian data fusion algorithm with uniform consistency10.1109/TAC.2024.3375254 ↗
24. Fast Bayesian inference for inverse heat conduction problem using polynomial chaos and Karhunen–Loeve expansions10.1016/j.applthermaleng.2022.119616 ↗
25. Numerical simulation of delamination growth in fiber reinforced polymer laminates using cohesive zone modeling10.1080/15376494.2020.1758257 ↗
26. Numerical analysis of delamination buckling and growth in slender laminated composite using cohesive element method10.1016/j.commatsci.2010.07.003 ↗
27. A spatiotemporal prediction model for rapid prediction of delamination growth in open-hole composite laminates10.1016/j.compscitech.2023.109973 ↗
28. An analytical model for evaluating the buckling, delamination propagation, and failure behaviors of delaminated composites under uniaxial compression10.1016/j.compstruct.2019.110937 ↗
29. Modeling the delamination failure under compressive loads in CFRP laminates based on digital image correlation analysis10.1016/j.compstruct.2022.115265 ↗
30. Random balance designs for the estimation of first order global sensitivity indices10.1016/j.ress.2005.06.003 ↗
31. A quantitative model-independent method for global sensitivity analysis of model output10.1080/00401706.1999.10485594 ↗
32. Extension of the RBD-FAST method to the computation of global sensitivity indices10.1016/j.ress.2009.01.012 ↗
33. Analysis of the reliability of a starter-generator using a dynamic bayesian network
34. A reconfigurable dynamic Bayesian network for digital twin modeling of structures with multiple damage modes10.1016/j.taml.2023.100440 ↗
35. Real-time Bayesian model calibration method for C/SiC mechanical behavior considering model bias10.1016/j.mechmat.2023.104847 ↗
36. Bayes' theorem10.1038/nmeth.3335 ↗
37. Particle filtering10.1109/MSP.2003.1236770 ↗
38. Digital twin for the structural health management of reusable spacecraft: a case study10.1016/j.engfracmech.2020.107076 ↗
39. Buckling and delamination growth behavior of composite laminates with circular initial delamination10.1007/s12206-021-0527-y ↗