Orthogonal tests investigation into hybrid fiber-reinforce recycled aggregate concrete and convolutional neural network prediction

Orthogonal tests investigation into hybrid fiber-reinforce recycled aggregate concrete and convolutional neural network prediction

An orthogonal test method was used to do sensibility analysis on the compressive strength and splitting strength of hybrid fiber-reinforced recycled aggregate concrete (HyFRAC). And a prediction model of compressive strength of HyFRAC based on Convolutional Neural Network (CNN) was proposed. The res...

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Bibliographic Details
Main Authors: Wei Huang, Wenli Quan, Pei Ge
Format: Article
Language:English
Published: Taylor & Francis Group 2022-05-01
Series:Journal of Asian Architecture and Building Engineering
Subjects:
recycled brick aggregate
recycled concrete aggregate
hybrid fiber
orthogonal test
convolutional neural network
compressive strength
split tensile strength
Online Access:http://dx.doi.org/10.1080/13467581.2021.1918553

Internet

http://dx.doi.org/10.1080/13467581.2021.1918553

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