Ruiqi Guo 
- (2025): Three-dimensional mesoscopic investigation on the dynamic compressive behavior of coral sand concrete with reinforced granite coarse aggregate (GCA). Dans: Composite Structures, v. 352 (janvier 2025).
- (2024): Interpretation of dual time-dependent chloride diffusion in concrete based on physical information neural networks. Dans: Case Studies in Construction Materials, v. 21 (décembre 2024).
- (2024): Study on dynamic mechanical properties and microstructure of basalt fiber reinforced coral sand cement composite *. Dans: Construction and Building Materials, v. 425 (avril 2024).
- (2024): Machine learning-based prediction of outdoor thermal comfort: Combining Bayesian optimization and the SHAP model. Dans: Building and Environment, v. 254 (avril 2024).
- (2024): Hybrid prediction model for reinforcements' corrosion stage by multiple nondestructive electrochemical indices. Dans: Journal of Building Engineering, v. 82 (avril 2024).
- (2023): Bayesian probabilistic model for reinforcement corrosion ratio of reinforcement in concrete prediction based on modified half-cell potential. Dans: Journal of Civil Structural Health Monitoring, v. 14, n. 2 (octobre 2023).
- (2023): Experimental study on high temperatures performance of rubberized geopolymer mortar. Dans: Journal of Building Engineering, v. 76 (octobre 2023).
- (2023): Preparation and dynamic mechanical properties of fiber-reinforced high-strength all-coral-sand seawater concrete. Dans: Structures, v. 54 (août 2023).
- (2022): Multi-factor fuzzy prediction model of concrete surface chloride concentration with trained samples expanded by random forest algorithm. Dans: Marine Structures, v. 86 (novembre 2022).
- (2022): Experimental study on preparation and properties of low content rubberized geopolymer mortar. Dans: Construction and Building Materials, v. 352 (octobre 2022).
- (2022): Multi-factor model to predict surface chloride concentration of concrete based on fuzzy logic system. Dans: Case Studies in Construction Materials, v. 17 (décembre 2022).
- (2022): Comparison of models for predicting winter individual thermal comfort based on machine learning algorithms. Dans: Building and Environment, v. 215 (mai 2022).
- (2021): Probabilistic Prediction Model for the Chloride Diffusion Coefficient of Concrete under Tensile and Compressive Stresses. Dans: KSCE Journal of Civil Engineering, v. 26, n. 2 (décembre 2021).
Structurae coopère avec
