- Report of RILEM TC 281-CCC: insights into factors affecting the carbonation rate of concrete with SCMs revealed from data mining and machine learning approaches. In: Materials and Structures, v. 57, n. 9 (10 Oktober 2024). (2024):
- Investigation of the parameters influencing progress of concrete carbonation depth by using artificial neural networks. In: Materiales de Construccion, v. 70, n. 337 (Februar 2020). (2020):