Chongchong Qi 
- (2023): Application of deep neural network in the strength prediction of cemented paste backfill based on a global dataset. In: Construction and Building Materials, v. 391 (August 2023).
- (2023): Effect of ice addition on the properties and microstructure of cemented paste backfill at early-age. In: Journal of Building Engineering, v. 71 (July 2023).
- (2021): Improved strength prediction of cemented paste backfill using a novel model based on adaptive neuro fuzzy inference system and artificial bee colony. In: Construction and Building Materials, v. 284 (May 2021).
- (2022): Coverage-dependent adsorption of H2O on dicalcium silicate (1 0 0) surface: A DFT study. In: Construction and Building Materials, v. 321 (February 2022).
- (2022): Improved Permeability Prediction of Porous Media by Feature Selection and Machine Learning Methods Comparison. In: Journal of Computing in Civil Engineering, v. 36, n. 2 (March 2022).
- (2019): Analytical Solution for Stress Distribution around Arbitrary Stopes Using Evolutionary Complex Variable Methods. In: International Journal of Geomechanics, v. 19, n. 10 (October 2019).
- (2020): Closed-Form Solution to the Poromechanics of Deep Arbitrary-Shaped Openings Subjected to Rock Mass Alteration. In: International Journal of Geomechanics, v. 20, n. 12 (December 2020).
- (2021): Mechanical and environmental characteristics of cemented paste backfill containing lithium slag-blended binder. In: Construction and Building Materials, v. 271 (February 2021).
- (2021): Co-utilization of reactivated cement pastes with coal gangue. In: Construction and Building Materials, v. 270 (February 2021).
- (2020): Experimental investigation of mechanical, hydration, microstructure and electrical properties of cemented paste backfill. In: Construction and Building Materials, v. 263 (December 2020).
- (2020): 'Structural, electronic, and mechanical properties of calcium aluminate cements: Insight from first-principles theory. In: Construction and Building Materials, v. 264 (December 2020).
- (2020): The critical behaviour of finite thickness lining systems in tunnels. In: European Journal of Environmental and Civil Engineering, v. 26, n. 8 (September 2020).
- (2020): Numerical simulation on heat storage performance of backfill body based on tube-in-tube heat exchanger. In: Construction and Building Materials, v. 265 (December 2020).
- (2020): The mechanical and microstructural properties of refuse mudstone-GGBS-red mud based geopolymer composites made with sand. In: Construction and Building Materials, v. 253 (August 2020).
- (2018): Experimental investigation on the relationship between pore characteristics and unconfined compressive strength of cemented paste backfill. In: Construction and Building Materials, v. 179 (August 2018).
- (2018): Neural network and particle swarm optimization for predicting the unconfined compressive strength of cemented paste backfill. In: Construction and Building Materials, v. 159 (January 2018).
- (2020): Pore and strength characteristics of cemented paste backfill using sulphide tailings: Effect of sulphur content. In: Construction and Building Materials, v. 237 (March 2020).
- (2019): Effects of curing time and ice-to-water ratio on performance of cemented paste backfill containing ice slag. In: Construction and Building Materials, v. 228 (December 2019).
- (2019): A microstructural hydration model for cemented paste backfill considering internal sulfate attacks. In: Construction and Building Materials, v. 211 (June 2019).
- (2019): Prediction of dynamic increase factor for steel fibre reinforced concrete using a hybrid artificial intelligence model. In: Engineering Structures, v. 189 (June 2019).
- (2019): An experimental study on the early-age hydration kinetics of cemented paste backfill. In: Construction and Building Materials, v. 212 (July 2019).
- (2018): Back-Analysis Method for Stope Displacements Using Gradient-Boosted Regression Tree and Firefly Algorithm. In: Journal of Computing in Civil Engineering, v. 32, n. 5 (September 2018).
- (2018): Comparative Study of Hybrid Artificial Intelligence Approaches for Predicting Hangingwall Stability. In: Journal of Computing in Civil Engineering, v. 32, n. 2 (March 2018).
- (2019): Constitutive modelling of cemented paste backfill: A data-mining approach. In: Construction and Building Materials, v. 197 (February 2019).
Structurae cooperates with
