Neural prediction of mechanical properties of fiber-reinforced lightweight concrete containing silica fume and nano-silica

Neural prediction of mechanical properties of fiber-reinforced lightweight concrete containing silica fume and nano-silica

Experimenting to acquire the optimum result for producing a product in a real environment takes a long time and has various costs. Numerical simulations help save time and improve accuracy in implementing numerous complex tests. The present study exploits neural networks in MATLAB to calculate the m...

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Bibliographic Details
Main Authors: Moradi Hamidreza, Hashemi Seyed Amir Hossein
Format: Article
Language:English
Published: Peter the Great St. Petersburg Polytechnic University 2023-04-01
Series:Magazine of Civil Engineering
Subjects:
artificial neural network
lightweight concrete
mechanical properties
steel fibers
polypropylene fibers
silica fume
nanosilica
fiber-reinforced concrete
Online Access:http://engstroy.spbstu.ru/article/2023.118.08/

Internet

http://engstroy.spbstu.ru/article/2023.118.08/

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