- Strength and resilient modulus characteristics of emulsion-stabilised demolition wastes in pavement structures. Dans: Journal of Building Engineering, v. 82 (avril 2024). (2024):
- Long-Term Performance Analysis of Demolition Waste Blends in Pavement Bases Using Experimental and Machine Learning Techniques. Dans: International Journal of Geomechanics, v. 23, n. 6 (juin 2023). (2023):
- Thermal and mechanical properties of demolition wastes in geothermal pavements by experimental and machine learning techniques. Dans: Construction and Building Materials, v. 280 (avril 2021). (2021):
- Strength and permanent deformation properties of demolition wastes, glass, and plastics stabilized with foamed bitumen for pavement bases. Dans: Construction and Building Materials, v. 320 (février 2022). (2022):
- Dynamic characterization of recycled glass-recycled concrete blends using experimental analysis and artificial neural network modeling. Dans: Soil Dynamics and Earthquake Engineering, v. 142 (mars 2021). (2021):
- Development of genetic-based models for predicting the resilient modulus of cohesive pavement subgrade soils. Dans: Soils and Foundations, v. 60, n. 2 (avril 2020). (2020):
- Hybrid Formulation of Resilient Modulus for Cohesive Subgrade Soils Utilizing CPT Test Parameters. Dans: Journal of Materials in Civil Engineering (ASCE), v. 32, n. 9 (septembre 2020). (2020):
- Experimental investigation and modelling the deformation properties of demolition wastes subjected to freeze–thaw cycles using ANN and SVR. Dans: Construction and Building Materials, v. 258 (octobre 2020). (2020):
- Numerical formulation of confined compressive strength and strain of circular reinforced concrete columns using gene expression programming approach. Dans: Structural Concrete, v. 19, n. 3 (juin 2018). (2018):