Probabilistic mesh-independent discrete damage analyses of laminate composites-Reference-Cited by-同舟云学术

Probabilistic mesh-independent discrete damage analyses of laminate composites

Published:2015-12 Issue: Volume:133 Page:22-30
ISSN:0263-8223
Container-title:Composite Structures
language:en
Short-container-title:Composite Structures

Author:

Yun Gun Jin,Zhao Li,Iarve Endel

Publisher

Elsevier BV

Subject

Civil and Structural Engineering,Ceramics and Composites

Reference27 articles.

1. Composite Materials Handbook: Volume 1. Polymer Matrix Composites Guidelines For Characterization of Structural Materials. In: Handbook DoD, editor. MIL-HDBK-17-1F: Department of Defense; 2002.

2. Statistical characterization of fiber-reinforced polymer composite material properties for structural design;Zureick;J Struct Eng ASCE,2006

3. Probabilistic optimum design of composite laminates;Mahadevan;J Compos Mater,1998

4. Spectral stochastic finite element analysis for laminated composite plates;Chen;Comput Methods Appl Mech Eng,2008

5. Stochastic finite element analysis of composite plates considering spatial randomness of material properties and their correlations;Noh;Steel Compos Struct,2011

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimation of spatial uncertainty in material property distributions within heterogeneous structures using optimized convolutional neural networks;Engineering Applications of Artificial Intelligence;2023-01

2. AI/ML for Quantification and Calibration of Property Uncertainty in Composites;Machine Learning Applied to Composite Materials;2022

3. Quantifying Uncertainty of Damage in Composites Using a Quasi Monte Carlo Technique;Journal of Verification, Validation and Uncertainty Quantification;2021-12-14

4. Probabilistic service life of reinforced concrete structures with randomly distributed corrosion-induced cracks;Structure and Infrastructure Engineering;2017-07-26

5. Reconstruction of Spatially Varying Random Material Properties by Self-Optimizing Inverse Method;Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9;2016