Cite
Predicting stress-dependent gas permeability of cement mortar with different relative moisture contents based on hybrid ensemble artificial intelligence algorithms.
MLA
Chao, Zhiming, et al. “Predicting Stress-Dependent Gas Permeability of Cement Mortar with Different Relative Moisture Contents Based on Hybrid Ensemble Artificial Intelligence Algorithms.” Construction & Building Materials, vol. 348, Sept. 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.conbuildmat.2022.128660.
APA
Chao, Z., Wang, M., Sun, Y., Xu, X., Yue, W., Yang, C., & Hu, T. (2022). Predicting stress-dependent gas permeability of cement mortar with different relative moisture contents based on hybrid ensemble artificial intelligence algorithms. Construction & Building Materials, 348, N.PAG. https://doi.org/10.1016/j.conbuildmat.2022.128660
Chicago
Chao, Zhiming, Mingyang Wang, Yinuo Sun, Xu Xu, Wenhan Yue, Chuanxin Yang, and Tianxiang Hu. 2022. “Predicting Stress-Dependent Gas Permeability of Cement Mortar with Different Relative Moisture Contents Based on Hybrid Ensemble Artificial Intelligence Algorithms.” Construction & Building Materials 348 (September): N.PAG. doi:10.1016/j.conbuildmat.2022.128660.