2024
DOI: 10.1007/s41742-023-00562-6
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Optimal Design of Ecological Concrete Mix Proportion Based on AHP-GWO-BP Neural Network

Dong Guangyao,
Li Songmin,
Wang Xiaoling
et al.
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Cited by 4 publications
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“…Other manufacturing methods can be implemented to improve the durability of hemp concrete, such as the use of natural pozzolan and microsilica as partial substitutes for lime in hemp concrete mixes [10,37]. A study presented an optimization model to determine the optimal mixture proportions for different types of eco-friendly concrete, using the Grey Wolf optimizer and a backpropagation neural network [38]. These works demonstrated the efficiency of the model in calculating optimal mixture proportions and highlighted the performance of eco-friendly concrete under specific parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Other manufacturing methods can be implemented to improve the durability of hemp concrete, such as the use of natural pozzolan and microsilica as partial substitutes for lime in hemp concrete mixes [10,37]. A study presented an optimization model to determine the optimal mixture proportions for different types of eco-friendly concrete, using the Grey Wolf optimizer and a backpropagation neural network [38]. These works demonstrated the efficiency of the model in calculating optimal mixture proportions and highlighted the performance of eco-friendly concrete under specific parameters.…”
Section: Introductionmentioning
confidence: 99%