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Optimizing performance of recycled aggregate materials using BP neural network analysis: A study on permeability and water storage

This study investigates the factors influencing the permeability and water storage capabilities of Recycled Graded Crushed Stone Layer (RGCSL) materials, which are crucial for constructing sustainable ''sponge cities''. The research focuses on how aggregate characteristics, such as particle size and...

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Principais autores: Peilong Xu, Hongyan Liu, Hanwen Zhang, Dan Lan, Incheol Shin
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2024-01-01
coleção:Desalination and Water Treatment
Assuntos:
Permeable storage
Graded crushed stone layer
Recycled aggregate
Gap characteristics
Backpropagation neural network
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S1944398624000729
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