Research on Multiscale Performance Prediction Method for Elastic Composite Materials Based on Data-Driven Approach
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-69457-8_43
Reference13 articles.
1. Liu, A., Wang, S., Ben, M., Liu, J., Zhang, J., Liu, J.: Highly elastic cobweb-like SiO/CNF composites with reconstructed heterostructure for high-efficient lithium storage. Chin. Chem. Lett. 32(09), 2914–2918 (2021)
2. Cai, Y., Sun, H.: Prediction on viscoelastic properties of three-dimensionally braided composites by multi-scale model. J. Mater. Sci. 48(19), 6499–6508 (2013)
3. Fantuzzi, N., Trovalusci, P., Luciano, R.: Multiscale analysis of anisotropic materials with hexagonal microstructure as micropolar continua. Int. J. Multiscale Comput. Eng. 18(2), 265–284 (2020)
4. Kil, T., Jin, D., Yang, B., Lee, H.-K.: A comprehensive micromechanical and experimental study of the electrical conductivity of polymeric composites incorporating carbon nanotube and carbon fiber. Compos. Struct. 268(6), 114002 (2021)
5. Clayton, J., Guziewski, M., Ligda, J., Leavy, R., Knap, J.: A multi-scale approach for phase field modeling of ultra-hard ceramic composites. Materials 14, 1408 (2021)
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