Mechanical and flexural fatigue behaviour of steel fibre reinforced RAP-based concrete: experimental and machine learning investigation

Scientific Reports

卷:16

Article

Yeswanth Paluri¹  Sri Ram Ravi Teja Prathipati²  Siva Shanmukha Anjaneya Babu Padavala³  Adamu Mulatu Kumara⁴  Heeralal Mudavath⁵  Rathish Kumar Pancharathi⁵ 

[1] Department of Civil Engineering, College of Engineering and Technology, Wollega University, Nekemte, Ethiopia

[2] Department of Civil Engineering, Gudlavalleru Engineering College, 521356, Gudlavalleru, Andhra Pradesh, India

[3] Department of Civil Engineering, National Institute of Technology, 506004, Warangal, Telangana, India

[4] Department of Civil Engineering, VR Siddhartha School of Engineering, Siddhartha Academy of Higher Education, Deemed to be University, 520007, Vijayawada, Andhra Pradesh, India

[5] Department of Civil Engineering, Vishnu Institute of Technology, 534202, Bhimavaram, Andhra Pradesh, India

关键词: Reclaimed asphalt pavement (RAP);    Steel fibre reinforced concrete (SFRC);    Machine learning;    Flexural fatigue;    Endurance limit;    Sustainable concrete;   

DOI  :  10.1038/s41598-026-58324-1

 received in 2026-04-05, accepted in 2026-06-12,  发布年份 2026

来源: Springer

【 摘 要 】

This study examines the mechanical and flexural fatigue behaviour of concrete with reclaimed asphalt pavement (RAP) aggregates with and without steel fibre reinforcement. The use of RAP as partial replacement for natural aggregates represents a sustainable solution for reduction of construction waste and saving of natural resources. Twenty concrete mixes were prepared with RAP replacement levels varying between 0 and 30% and steel fibre contents varying between 0 and 1.25% by volume. The experimental investigation comprised t evaluation of strength characteristics, stress–strain behaviour, and flexural fatigue performance. Results show that increase in RAP content leads to a gradual decrease in the strength of the concrete due to weaker interfacial transition zone formed between the RAP aggregates and the cementitious matrix. However, the addition of steel fibres significantly enhances the tensile and flexural properties; the optimum steel fibre dosage was found to be 1%. At this dosage the compressive toughness was significantly increased, and the split tensile and flexural strengths improved as much as 45% and 48%, respectively. Stress–strain behaviour of RAP-based fibre reinforced concrete under compression is described by a modified Saenz equation based stress–strain model. The results of flexural fatigue tests indicated that fibre reinforcement substantially improves the fatigue life and endurance limit of RAP-based concrete. Machine learning models based on random forest regression and gradient boosting regression were also developed for the prediction of mechanical properties with the highest predictive accuracy of the gradient boosting model (R2 = 0.96). The integrated experimental and machine learning framework developed in this study provides a preliminary proof-of-concept methodology for evaluation and optimization of sustainable RAP-based fibre reinforced concrete for pavement applications.

【 授权许可】

CC BY-NC-ND   
© The Author(s) 2026

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Figure 1. Typical successful electroporation.

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Figure 2. Protein expression and purification analysis.