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The Prediction of Compressive Strength and Compressive Stress-Strain of Basalt Fiber Reinforced High-Performance
Mohammad Hematibahar1, Nikolai Ivanovich Vatin2, Hayder Abbas Ashour Alaraza1,3
1Department of Civil Engineering, Academy of Engineering, Peoples' Friendship University of Russia (RUDN), 6 MiklukhoMaklaya Street, 117198 Moscow, Russia.
Materials (Basel, Switzerland)
|October 14, 2022
Summary
This study introduces a Logistic Map algorithm for accurately predicting the compressive strength and stress-strain curves of Basalt Fiber High-Performance Concrete (BFHPC). The developed method offers a reliable and easy approach for material performance analysis.
Area of Science:
- Civil Engineering
- Materials Science
- Computational Mechanics
Background:
- High-Performance Concrete (HPC) is crucial in modern construction.
- Basalt fibers enhance concrete properties, leading to Basalt Fiber High-Performance Concrete (BFHPC).
- Predicting the mechanical behavior of BFHPC is essential for structural design.
Purpose of the Study:
- To develop and validate an algorithm for predicting the compressive strength of BFHPC.
- To accurately predict the compressive stress-strain curve of BFHPC.
- To assess the reliability of the Logistic Map algorithm in BFHPC analysis.
Main Methods:
- Mixing varying percentages (0.6-1.8%) of basalt fiber with HPC constituents.
- Conducting compressive strength and stress-strain tests after 7, 14, and 28 days of curing.
- Implementing a Logistic Map algorithm via classical programming for predictive analysis.
Main Results:
- The Logistic Map algorithm accurately predicted BFHPC compressive strength and stress-strain curves.
- The Coefficient of Determination (R2) value reached 0.96, confirming high prediction accuracy.
- The algorithm demonstrated reliability for BFHPC mechanical property assessment.
Conclusions:
- The Logistic Map algorithm provides an accurate and reliable method for predicting BFHPC compressive strength.
- Classical programming implementation makes the algorithm accessible and easy to use.
- This predictive tool can aid in the efficient design and application of BFHPC.
Keywords:
basalt fiber high-performance concreteclassical programmingcompressive strength predictioncompressive stress–strain curvelogistic function and mapMore Related Videos
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