Cite
Frequency- and temperature-dependent dynamic shear modulus and phase angle prediction models based on existing asphalt binder viscosity data using Artificial Neural Network (ANN).
MLA
Acharjee, Prashanta Kumar, et al. “Frequency- and Temperature-Dependent Dynamic Shear Modulus and Phase Angle Prediction Models Based on Existing Asphalt Binder Viscosity Data Using Artificial Neural Network (ANN).” Construction & Building Materials, vol. 414, Feb. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.conbuildmat.2023.134772.
APA
Acharjee, P. K., Souliman, M. I., Khalifah, R., & Elwardany, M. (2024). Frequency- and temperature-dependent dynamic shear modulus and phase angle prediction models based on existing asphalt binder viscosity data using Artificial Neural Network (ANN). Construction & Building Materials, 414, N.PAG. https://doi.org/10.1016/j.conbuildmat.2023.134772
Chicago
Acharjee, Prashanta Kumar, Mena I. Souliman, Rami Khalifah, and Michael Elwardany. 2024. “Frequency- and Temperature-Dependent Dynamic Shear Modulus and Phase Angle Prediction Models Based on Existing Asphalt Binder Viscosity Data Using Artificial Neural Network (ANN).” Construction & Building Materials 414 (February): N.PAG. doi:10.1016/j.conbuildmat.2023.134772.