Multi-performance optimization of low-carbon geopolymer considering mechanical, cost, and CO2 emission based on experiment and interpretable learning
S Wang, K Chen, J Liu, P Xia, L Xu, B Chen… - … and Building Materials, 2024 - Elsevier
This study proposed a procedure to optimize the mixture proportion of geopolymer using
machine learning (ML) and multi-objective optimization (MOO) model, which enhances the …
machine learning (ML) and multi-objective optimization (MOO) model, which enhances the …
[HTML][HTML] A bibliometric review on research progress, interest evolution and future trend in the field of recycled concrete by using CiteSpace (2004–2023)
L Lin-Bin, Y Guang-Ji, W Xiao-Dong, M Ling… - Journal of CO2 …, 2024 - Elsevier
The popularization of recycled concrete (RC) is an important way to achieve efficient
resource utilization of construction solid waste (CSW), which can coordinate the sustainable …
resource utilization of construction solid waste (CSW), which can coordinate the sustainable …
[HTML][HTML] Using ensemble machine learning and metaheuristic optimization for modelling the elastic modulus of geopolymer concrete
Geopolymer concrete emerges as a sustainable and durable alternative to conventional
concrete, addressing its high carbon footprint and enhanced durability. The distinct …
concrete, addressing its high carbon footprint and enhanced durability. The distinct …