- Involving prediction of dynamic modulus in asphalt mix design with machine learning and mechanical-empirical analysis. Dans: Construction and Building Materials, v. 407 (décembre 2023). (2023):
- Improving asphalt mix design considering international roughness index of asphalt pavement predicted using autoencoders and machine learning. Dans: Construction and Building Materials, v. 360 (décembre 2022). (2022):
- Improving asphalt mix design by predicting alligator cracking and longitudinal cracking based on machine learning and dimensionality reduction techniques. Dans: Construction and Building Materials, v. 354 (novembre 2022). (2022):
- Evaluating Alkali-Silica Reactivity of Aggregates Using the New Miniature Concrete Prism Test and Other Standard Test Methods. Dans: Journal of Materials in Civil Engineering (ASCE), v. 34, n. 8 (août 2022). (2022):
- ASR mitigation using binary and ternary blends with waste glass powder. Dans: Construction and Building Materials, v. 280 (avril 2021). (2021):
- Alkali-silica reaction (ASR) in concrete structures: Mechanisms, effects and evaluation test methods adopted in the United States. Dans: Case Studies in Construction Materials, v. 15 (décembre 2021). (2021):