- Hybrid random aggregation model and Bayesian optimization‐based convolutional neural network for estimating the concrete compressive strength. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 4 (novembre 2023). (2023):
- (2023): Variability Analysis of the Hysteretic Behavior of Fiber-Reinforced Polymer (FRP)-Confined Concrete Columns Based on a Secondary Development Model. Dans: Buildings, v. 13, n. 9 (23 août 2023).
- Effects of Salinity and Curing Time on Compression Behavior of Fly Ash Stabilized Marine Clay. Dans: KSCE Journal of Civil Engineering, v. 27, n. 10 (septembre 2023). (2023):
- Random forest-based modelling of parameters of fractional derivative concrete creep model with Bayesian optimization. Dans: Materials and Structures, v. 55, n. 8 (16 septembre 2022). (2022):
- Numerical study on impact resistance of rubberised concrete roadside barrier. Dans: Advances in Structural Engineering, v. 26, n. 1 (août 2022). (2022):
- Predicting compressive strength of green concrete using hybrid artificial neural network with genetic algorithm. Dans: Structural Concrete, v. 24, n. 2 (avril 2023). (2023):
- Evaluation of Structural Strength and Parameters of Collapsible Loess. Dans: International Journal of Geomechanics, v. 21, n. 6 (juin 2021). (2021):
- Experimental and numerical simulation study on impact response of TC4/PEEK/Cf laminates under different mass impactors. Dans: Composite Structures, v. 258 (février 2021). (2021):
- Effect of surface micro-pits on mode-II fracture toughness of Ti-6Al-4V/PEEK interface. Dans: Composite Structures, v. 229 (décembre 2019). (2019):
- Characterization of effects of heat treated anodized film on the properties of hygrothermally aged AA5083-based fiber-metal laminates. Dans: Composite Structures, v. 167 (mai 2017). (2017):
- Characterization of seawater hygrothermal conditioning effects on the properties of titanium-based fiber-metal laminates for marine applications. Dans: Composite Structures, v. 158 (décembre 2016). (2016):