Elastic Modulus Prediction for Manufactured Sand Concrete Using Fuzzy Set and Neural Network

The application of concrete with manufactured sand instead of natural sand is becoming increasingly prevalent. However, due to the inherent differences in the physical properties of manufactured and natural sand, it is not possible to apply the modulus of elasticity formula for natural sand concrete directly to manufactured sand concrete. Given that the combination of fuzzy rule modelling and neural network technology has been applied to data prediction, a prediction method based on fuzzy set and BP neural network model is constructed for the purpose of predicting the elastic modulus of manufactured sand concrete. The predicted value is then compared with the target value. The results demonstrate that the predictive model exhibits superior performance. The predictive model may serve as a point of reference for analogous studies.

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Publication Details

Journal
Tehnicki vjesnik - Technical Gazette
Published
2024-10-31
DOI
https://doi.org/10.17559/tv-20240630001811
Primary Topic
Materials Engineering and Processing
Type
article
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article

Elastic Modulus Prediction for Manufactured Sand Concrete Using Fuzzy Set and Neural Network

Tehnicki vjesnik - Technical Gazette
Materials Engineering and Processing
article

Elastic Modulus Prediction for Manufactured Sand Concrete Using Fuzzy Set and Neural Network

article en

Abstract

The application of concrete with manufactured sand instead of natural sand is becoming increasingly prevalent. However, due to the inherent differences in the physical properties of manufactured and natural sand, it is not possible to apply the modulus of elasticity formula for natural sand concrete directly to manufactured sand concrete. Given that the combination of fuzzy rule modelling and neural network technology has been applied to data prediction, a prediction method based on fuzzy set and BP neural network model is constructed for the purpose of predicting the elastic modulus of manufactured sand concrete. The predicted value is then compared with the target value. The results demonstrate that the predictive model exhibits superior performance. The predictive model may serve as a point of reference for analogous studies.

Tehnicki vjesnik - Technical GazetteVol. 31(6)
Hunan Institute of Engineering (CN), Guizhou Aerospace Power Science & Tech (China) (CN), Guizhou Institute of Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 81%
Materials Engineering and Processing
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Elastic Modulus Prediction for Manufactured Sand Concrete Using Fuzzy Set and Neural Network · Tehnicki vjesnik - Technical Gazette (2024) | TGRS Research Map | TGRS