Engineering Properties and Prediction of Strength of High Performance Fibre Reinforced Concrete using Artificial Neural Networks

Engineering Properties and Prediction of Strength of High Performance Fibre Reinforced Concrete using Artificial Neural Networks

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ABSTRACT: This paper presents the experimental and numerical studies on high performance fiber concrete (HPFRC) with water-cementitious materials (w/cm) ratios of 0.4- 0.3, steel fiber volume fraction (Vf) varying from 0- 1.5%, polypropylene fiber volume fraction varying from 0- 1% and silica fume r...

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Bibliographic Details
Main Authors: P. Ramadoss, NVN. Prabath
Format: Article
Language:English
Published: Electronic Journals for Science and Engineering - International 2021-11-01
Series:Electronic Journal of Structural Engineering
Subjects:
high performance fiber reinforced concrete
silica fume
pp fibers
steel fibers
mechanical properties
empirical equations
neural networks
Online Access:https://ejsei.com/EJSE/article/view/294

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