Navid Hasheminejad 
- (2023): Lessons learnt from thermo-mechanical feasibility assessment of pavement solar collectors using a FE-ANN approach. In: Case Studies in Construction Materials, v. 19 (Dezember 2023).
- (2018): A Comparative Study of Laser Doppler Vibrometers for Vibration Measurements on Pavement Materials. In: Infrastructures, v. 3, n. 4 (Dezember 2018).
- (2023): Use of a machine learning-based framework to approximate the input features of an intrinsic cohesive zone model of recycled asphalt mixes tested at low temperatures. In: Construction and Building Materials, v. 373 (April 2023).
- (2022): Assessing the potential of application of titanium dioxide for photocatalytic degradation of deposited soot on asphalt pavement surfaces. In: Construction and Building Materials, v. 350 (Oktober 2022).
- (2021): Utilizing deep learning and advanced image processing techniques to investigate the microstructure of a waxy bitumen. In: Construction and Building Materials, v. 313 (Dezember 2021).
- (2021): Laboratory investigation and statistical analysis of the rutting and fatigue resistance of asphalt mixtures containing crumb-rubber and wax-based warm mix asphalt additive. In: Construction and Building Materials, v. 309 (November 2021).
- (2021): Towards an enhanced fatigue evaluation of bituminous mortars. In: Construction and Building Materials, v. 275 (März 2021).
- (2020): Identification of the viscoelastic properties of an asphalt mixture using a scanning laser Doppler vibrometer. In: Materials and Structures, v. 53, n. 6 (16 Oktober 2020).
Structurae kooperiert mit
