Carbon-footprint based concrete proportion design using LSTM and MOPSO algorithms

Artificial intelligence can design more sustainable concrete mixtures to reduce costs and CO2 emissions. In this paper, a concrete mix ratio design method based on deep learning algorithm and meta-heuristic algorithm is proposed. The main parameters that control and affect the strength of the concre...

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Vydané v:	Materials today communications Ročník 38; s. 107837
Hlavní autori:	Jin, Libing, Zhang, Yesheng, Liu, Peng, Fan, Tai, Wu, Tian, Wu, Qiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.03.2024
Predmet:	Compressive strength Deep learning Long short-term memory networks Multi-objective particle swarm optimization algorithm Proportion design Deep learning Compressive strength Long short-term memory networks Proportion design Multi-objective particle swarm optimization algorithm
ISSN:	2352-4928, 2352-4928
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