Investigation of the performance and life cycle assessment of alkali-activated sintered sludge-slag-based permeable concrete DOI Creative Commons
Xiaohui Ning,

Jiayang Zhang,

Chao Zhuang

et al.

Frontiers in Materials, Journal Year: 2024, Volume and Issue: 11

Published: Nov. 19, 2024

As urbanization continues to accelerate, the application of permeable concrete is becoming an increasingly prevalent practice. Nevertheless, carbon dioxide emission issue associated with traditional cannot be overlooked. In this study, alkali-activated sintered sludge and slag were employed as raw materials prepare sludge-slag-based concrete. The effects calcination temperature, content, binder-to-aggregate ratio on compressive strength, porosity, permeability coefficient investigated through implementation one-way experiments. formation mechanism was analyzed using scanning electron microscopy-energy dispersive spectroscopy (SEM-EDS), a assessment performed. findings indicated that increase in content resulted notable decline 28-day accompanied by reduction Ca/Si C-A-S-H hydration products, from 1.08 0.35. Conversely, demonstrated abiotic losses declined markedly effectively mitigating burden construction materials.

Language: Английский

Study on the Influence of Fly Ash and Cementitious Crystalline Water Proof on the Mechanical Properties and Permeability of Fiber-Reinforced Cement-Based Materials DOI
Jianbin Ma, Jia Guo,

Xiaolan Su

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
Machine Learning Driven Fluidity and Rheological Properties Prediction of Fresh Cement-Based Materials DOI Open Access
Yi Liu, Zeyad M. A. Mohammed, Jialu Ma

et al.

Materials, Journal Year: 2024, Volume and Issue: 17(22), P. 5400 - 5400

Published: Nov. 5, 2024

Controlling workability during the design stage of cement-based material mix ratios is a highly time-consuming and labor-intensive task. Applying artificial intelligence (AI) methods to predict optimize materials can significantly enhance efficiency design. In this study, experimental testing was conducted create dataset 233 samples, including fluidity, dynamic yield stress, plastic viscosity materials. The proportions cement, fly ash (FA), silica fume (SF), water, superplasticizer (SP), hydroxypropyl methylcellulose (HPMC), sand were selected as inputs. Machine learning (ML) employed establish predictive models for these three early indicators. To improve prediction capability, optimized hybrid models, such Particle Swarm Optimization (PSO)-based CatBoost XGBoost, adopted. Furthermore, influence individual input variables on each indicator examined using Shapley Additive Explanations (SHAP) Partial Dependence Plot (PDP) analyses. This study provides novel reference achieving rapid accurate control workability.

Language: Английский

Citations

0
Study on Corrosion Resistance and Microstructure of Modified Sediment Geopolymer Materials DOI Creative Commons
Changming Li, Huilin Liu,

Xiaoxiong Chai

et al.

Materials Today Sustainability, Journal Year: 2024, Volume and Issue: 29, P. 101048 - 101048

Published: Nov. 15, 2024

Language: Английский

Citations

0
Investigation of the performance and life cycle assessment of alkali-activated sintered sludge-slag-based permeable concrete DOI Creative Commons
Xiaohui Ning,

Jiayang Zhang,

Chao Zhuang

et al.

Frontiers in Materials, Journal Year: 2024, Volume and Issue: 11

Published: Nov. 19, 2024

As urbanization continues to accelerate, the application of permeable concrete is becoming an increasingly prevalent practice. Nevertheless, carbon dioxide emission issue associated with traditional cannot be overlooked. In this study, alkali-activated sintered sludge and slag were employed as raw materials prepare sludge-slag-based concrete. The effects calcination temperature, content, binder-to-aggregate ratio on compressive strength, porosity, permeability coefficient investigated through implementation one-way experiments. formation mechanism was analyzed using scanning electron microscopy-energy dispersive spectroscopy (SEM-EDS), a assessment performed. findings indicated that increase in content resulted notable decline 28-day accompanied by reduction Ca/Si C-A-S-H hydration products, from 1.08 0.35. Conversely, demonstrated abiotic losses declined markedly effectively mitigating burden construction materials.

Language: Английский

Citations

0