Maturation effect on strength of high-strength concretes which produced with different origin aggregates
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Techno-Press
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
This paper presents an application of the maturation effect on the strength of high-strength concrete which is produced with different origin aggregates. While investigating the maturation effect on HSC 384 specimens were prepared with 22 different origin aggregates. These prepared specimens were subjected to the standard compressive tests which were applied after curing for 2, 7, 28, and 56 days under appropriate conditions. The test results revealed that bright surface-low adherence behavior is valid in normal strength concretes, but is not as effective as expected in high-strength concretes. The application of artificial neural networks (ANNs) to predict 2, 7, 28, and 56 day compressive strength of HSC is also investigated in this paper. An ANN model is built, trained, and tested using the available test data gathered from experimental studies. The ANN model is found to predict 2, 7, 28, and 56 days of compressive strength of high-strength concrete well within the ranges of the input parameters considered. These comparisons show that ANNs have strong potential as a feasible tool for predicting the compressive strength of high-strength concrete within the range of the input parameters considered.
Description
Keywords
Artificial Neural Network, Compressive Strength, High-strength Concrete, Maturation Effect
Journal or Series
Advances in Concrete Construction
WoS Q Value
Q2
Scopus Q Value
Q2
Volume
14
Issue
2
