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