Photocatalytic performance and its internal relationship with hydration and carbonation of photocatalytic concrete: A review
H Fei, J Wu, J Zhang, T Zhao, W Guo, X Wang… - Journal of Building …, 2024 - Elsevier
Photocatalytic concrete technology has attracted much attention in the field of sustainable
construction and infrastructure by photocatalytic decomposition of harmful air and water …
construction and infrastructure by photocatalytic decomposition of harmful air and water …
On the use of machine learning and data-transformation methods to predict hydration kinetics and strength of alkali-activated mine tailings-based binders
The escalating production of mine tailings (MT), a byproduct of the mining industry,
constitutes significant environmental and health hazards, thereby requiring a cost-effective …
constitutes significant environmental and health hazards, thereby requiring a cost-effective …
Understanding and predicting micro-characteristics of ultra-high performance concrete (UHPC) with green porous lightweight aggregates: Insights from machine …
L Zhang, W Xu, D Fan, E Dong, K Liu, L Xu… - Construction and Building …, 2024 - Elsevier
Ultra-high performance concrete (UHPC) is an advanced material in construction. Porous
lightweight aggregates (PLWA) could reduce the self-shrinkage risk of UHPC by maintaining …
lightweight aggregates (PLWA) could reduce the self-shrinkage risk of UHPC by maintaining …
Optimization of mix proportion and strength prediction of magnesium phosphate cement-based composites based on machine learning
J Zhang, T Li, Y Yao, X Hu, Y Zuo, H Du… - Construction and Building …, 2024 - Elsevier
In order to optimize the mix ratio design of magnesium phosphate cementitious composites
(MPCC) to obtain excellent workability and strength, this study investigated the effects of …
(MPCC) to obtain excellent workability and strength, this study investigated the effects of …
Modeling hydration kinetics of sustainable cementitious binders using an advanced nucleation and growth approach
Supplementary cementitious materials (SCMs) are utilized to partially substitute Portland
cement (PC) in binders, reducing carbon-footprint and maintaining excellent performance …
cement (PC) in binders, reducing carbon-footprint and maintaining excellent performance …
Microstructure-informed deep learning model for accurate prediction of multiple concrete properties
Predicting multiple properties of concrete using empirical models has become increasingly
challenging due to the complexity of modern concrete formulations and the nonlinear …
challenging due to the complexity of modern concrete formulations and the nonlinear …
Development of chemistry-informed interpretable model for predicting compressive strength of recycled aggregate concrete containing supplementary cementitious …
Y Gao, Z Li, Y Li, Z Zhu, J Zhu - Journal of Cleaner Production, 2023 - Elsevier
Accurate prediction of compressive strength of recycled aggregate concrete (RAC) has great
value for promoting the sustainable development of concrete field. The study aims to …
value for promoting the sustainable development of concrete field. The study aims to …
Evolution of the microporous structure in cement hydration: A deep learning-based image translation method
X Yao, H Fang, M Du, H Feng, K Zhai, J Lin… - Journal of Building …, 2024 - Elsevier
Investigating the evolution of the microporous structure is essential for gaining insights into
the hydration process of the cementitious materials. However, conventional methods for …
the hydration process of the cementitious materials. However, conventional methods for …
Designing low-carbon fly ash based geopolymer with red mud and blast furnace slag wastes: Performance, microstructure and mechanism
In order to tackle the environmental problems induced by Portland cement production and
industrial solid wastes landfilling, this study aims to develop novel ternary cementless fly ash …
industrial solid wastes landfilling, this study aims to develop novel ternary cementless fly ash …
[HTML][HTML] Prediction of time-dependent concrete mechanical properties based on advanced deep learning models considering complex variables
Evaluating the mechanical properties such as compressive strength, tensile strength, and
modulus of elasticity (MOE) of concrete is crucial for the design, construction, and quality …
modulus of elasticity (MOE) of concrete is crucial for the design, construction, and quality …