Jiale Shen
- (2024): Prediction of the Sulfate Attack Resistance of Concrete Based on Machine-Learning Algorithms. In: Journal of Computing in Civil Engineering, v. 38, n. 6 (November 2024).
- (2024): The research on the mechanical properties, microstructure, environmental impacts of environmentally friendly Alkali-activated ultra high performance concrete (AAUHPC) matrix with varied design parameters. In: Journal of Building Engineering, v. 94 (Oktober 2024).
- (2024): An innovative intelligent design method of alkali-activated foamed geopolymer: Mixture optimization and performance prediction. In: Journal of Building Engineering, v. 89 (Juli 2024).
- (2024): Effect of glass powder on mechanical properties and electromagnetic transmission properties of high alumina cement paste. In: Journal of Building Engineering, v. 88 (Juli 2024).
- (2024): The experimental study on microwave-assisted preparation of Ultra-High Performance Geopolymer Concrete (UHPGC). In: Construction and Building Materials, v. 414 (Februar 2024).
- (2023): Research on discrete element simulation of slump test for fresh self-compacting concrete. In: Journal of Building Engineering, v. 70 (Juli 2023).
- (2023): Optimization design for alkali-activated slag-fly ash geopolymer concrete based on artificial intelligence considering compressive strength, cost, and carbon emission. In: Journal of Building Engineering, v. 75 (September 2023).
- (2023): Research on predicting compressive strength of magnesium silicate hydrate cement based on machine learning. In: Construction and Building Materials, v. 406 (November 2023).
- (2023): Mechanism study on the effect of diammonium hydrogen phosphate on the setting time and micro-nanostructure of ordinary Portland cement paste. In: Construction and Building Materials, v. 407 (Dezember 2023).
- (2024): The data-driven research on the autogenous shrinkage of ultra-high performance concrete (UHPC) based on machine learning. In: Journal of Building Engineering, v. 82 (April 2024).
- (2023): Modeling and analysis of creep in concrete containing supplementary cementitious materials based on machine learning. In: Construction and Building Materials, v. 392 (August 2023).
- (2023): Development of autogenous shrinkage prediction model of alkali-activated slag-fly ash geopolymer based on machine learning. In: Journal of Building Engineering, v. 71 (Juli 2023).
- (2022): The study of effect of carbon nanotubes on the compressive strength of cement-based materials based on machine learning. In: Construction and Building Materials, v. 358 (Dezember 2022).
- (2022): Prediction of compressive strength of alkali-activated construction demolition waste geopolymers using ensemble machine learning. In: Construction and Building Materials, v. 360 (Dezember 2022).
- (2022): The data-driven research on bond strength between fly ash-based geopolymer concrete and reinforcing bars. In: Construction and Building Materials, v. 357 (November 2022).
- (2022): Early properties and chemical structure analysis of alkali-activated brick geopolymer with varied alkali dosage. In: Journal of Building Engineering, v. 60 (November 2022).
- (2022): Properties and environmental assessment of eco-friendly brick powder geopolymer binders with varied alkali dosage. In: Journal of Building Engineering, v. 58 (Oktober 2022).
- (2022): Early properties and microstructure evolution of alkali-activated brick powder geopolymers at varied curing humidity. In: Journal of Building Engineering, v. 54 (August 2022).
- (2019): Influence of carbon nanofiber content and sodium chloride solution on the stability of resistance and the following self-sensing performance of carbon nanofiber cement paste. In: Case Studies in Construction Materials, v. 11 (Dezember 2019).
- (2020): Research on the Mechanical and Conductive Properties of Carbon Nanofiber Mortar with Quartz Sand. In: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 44, n. 4 ( 2020).
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