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Preparation of Aligned Steel Fiber Reinforced Cementitious Composite and Its Flexural Behavior
Published on: June 27, 2018
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Modelling Fibre-Reinforced Concrete for Predicting Optimal Mechanical Properties
Hamad Hasan Zedan Khalel1, Muhammad Khan1
1School of Aerospace, Transport and Manufacturing, Cranfield University, Building 50, College Road, Cranfield MK43 0AL, UK.
Materials (Basel, Switzerland)
|May 27, 2023
Summary
A new Khan Khalel model predicts concrete strength based on fibre properties like shape and length. This model aids in optimizing fibre reinforcement for construction applications.
Area of Science:
- Materials Science
- Civil Engineering
- Structural Engineering
Background:
- Fibre-reinforced cementitious composites offer enhanced mechanical properties for construction.
- Selecting optimal fibre reinforcement (e.g., steel, plastic) is challenging due to site-specific property demands.
- Existing research often overlooks the combined impact of fibre shape, type, length, and percentage.
Purpose of the Study:
- To propose a predictive model for fibre-reinforced concrete properties.
- To enable analysis of optimal fibre addition based on construction requirements.
- To develop a model considering key fibre parameters as inputs for predicting concrete strengths.
Main Methods:
- Development of the Khan Khalel model to predict compressive and flexural strengths.
- Utilizing statistical tools for model development and validation against numerical results.
- Inputting key fibre parameters (shape, type, length, percentage) into the model.
Main Results:
- The Khan Khalel model predicts compressive and flexural strengths with errors under 6% and 15%, respectively.
- The model demonstrated the lowest and most significant errors for flexural strength of SFRC (steel fibre-reinforced concrete), with MSE between 0.121% and 0.926%.
- The model's accuracy is influenced by assumptions regarding fibre material input, specifically the elastic modulus, neglecting plastic behaviour.
Conclusions:
- The proposed Khan Khalel model offers a user-friendly approach to predict reinforced concrete strengths.
- The model facilitates optimizing fibre reinforcement by considering multiple fibre parameters.
- Future work should incorporate the plastic behaviour of fibres for enhanced model accuracy.
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