- Predicting the Compressive Strength and the Effective Porosity of Pervious Concrete Using Machine Learning Methods. In: KSCE Journal of Civil Engineering, v. 26, n. 11 (September 2022). (2022):
- Numerical approach to predict the flexural damage behavior of pervious concrete. In: Case Studies in Construction Materials, v. 16 (June 2022). (2022):