Publications of CSST

2024


Yue, Q., Wang, Q., Rabczuk, T., Zhou, W., Chang, X., & Zhuang, X. (2024). A review on modeling of graphene and associated nanostructures reinforced concrete. Nanotechnology reviews, 13(1), Article 20240033. https://doi.org/10.1515/ntrev-2024-0033
Yue, Q., Wang, Q., Rabczuk, T., Zhou, W., Zhuang, X., & Chang, X. (2024). A thermo-mechanical phase-field model for mixed-mode fracture and its application in rock-like materials. International Journal of Rock Mechanics and Mining Sciences, 183, Article 105907. https://doi.org/10.1016/j.ijrmms.2024.105907
Zhang, H., Li, Q. H., Zhang, X., Han, Y. S., Huang, Y. J., Hai, L., & Zhuang, X. Y. (2024). Stochastic fracture of concrete composites: A mesoscale methodology. Engineering fracture mechanics, 306, Article 110234. https://doi.org/10.1016/j.engfracmech.2024.110234
Zhuang, X., Fan, W., Guo, H., Chen, X., & Wang, Q. (2024). Surrounding rock classification from onsite images with deep transfer learning based on EfficientNet. Frontiers of Structural and Civil Engineering, 18(9), 1311-1320. https://doi.org/10.1007/s11709-024-1134-7

2023


Cai, R., Jin, Y., Li, Y., Zhu, J., Zhu, H., Rabczuk, T., & Zhuang, X. (2023). Absorption-lasing effects and exceptional points in parity-time symmetric non-Hermitian metaplates. Journal of sound and vibration, 555, Article 117710. https://doi.org/10.1016/j.jsv.2023.117710
Chu, W. H., Fu, Z. J., Tang, Z. C., Xu, W. Z., & Zhuang, X. Y. (2023). A machine learning approach coupled with polar coordinate based localized collocation method for inner surface identification in heat conduction problem. Computers and Mathematics with Applications, 148, 41-61. https://doi.org/10.1016/j.camwa.2023.07.031
Guo, H., Zhuang, X., Alajlan, N., & Rabczuk, T. (2023). Physics-informed deep learning for melting heat transfer analysis with model-based transfer learning. Computers and Mathematics with Applications, 143, 303-317. https://doi.org/10.1016/j.camwa.2023.05.014
Guo, H., Zhuang, X., Fu, X., Zhu, Y., & Rabczuk, T. (2023). Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials. Computational mechanics, 72(3), 513-524. https://doi.org/10.1007/s00466-023-02287-x, https://doi.org/10.1007/s00466-023-02350-7
He, L., Li, Y., Torrent, D., Zhuang, X., Rabczuk, T., & Jin, Y. (2023). Machine learning assisted intelligent design of meta structures: a review. Microstructures, 3(4), Article 2023037. https://doi.org/10.20517/microstructures.2023.29
Hong, C. Y., Yang, R. Y., Huang, Z. W., Zhuang, X. Y., Wen, H. T., & Hu, X. L. (2023). Enhance liquid nitrogen fracturing performance on hot dry rock by cyclic injection. Petroleum science, 20(2), 951-972. https://doi.org/10.1016/j.petsci.2022.07.004

Funding

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