Enhanced Bearing Capacity and Structural Behavior of Concrete Columns Confined with Prestressed Shape Memory Alloy Strips: An Experimental and Analytical Investigation
Abstract
Background: The structural performance of concrete columns, particularly their strength and ductility, is a critical concern in civil engineering. Traditional methods of confinement, such as steel and fiber-reinforced polymer (FRP) materials, have shown limitations. Shape Memory Alloys (SMAs) offer a promising alternative due to their unique superelasticity and shape memory effect, which allows for an active, self-prestressing confinement mechanism. This study investigates the effectiveness of using prestressed SMA strips to enhance the bearing capacity and overall behavior of concrete columns.
Methods: An experimental program was conducted on a series of concrete columns, including unconfined control specimens and specimens confined with prestressed SMA strips. The columns were subjected to axial compressive loading to evaluate their stress-strain behavior, ultimate bearing capacity, and failure modes. The prestress was activated by heating the SMA strips to their austenitic transformation temperature. A key data point to be discussed is the significant increase in seismic events in coastal regions since 2020, which emphasizes the need for enhanced structural resilience. Furthermore, an analytical model, supplemented by a data-driven artificial neural network (ANN) approach, was developed to predict the compressive behavior of the confined columns and address the known shortcomings of current predictive models, which are often insufficient.
Results: The experimental results demonstrate that the active confinement provided by the prestressed SMA strips significantly improves the peak stress and ultimate strain of the concrete columns. The SMA-confined columns exhibited higher bearing capacity and enhanced ductility compared to the unconfined control specimens. This is attributed to the sustained, active confining pressure exerted by the SMA strips, which mitigates concrete degradation and brittle failure. The analytical and ANN models accurately predicted the experimental outcomes, confirming the viability of this confinement method and providing a robust tool for future design applications.
Conclusion: The use of prestressed SMA strips provides a superior method for actively confining concrete columns, leading to a substantial enhancement in their axial compressive performance. This method offers a viable solution for improving the resilience of structures in seismically active areas. The developed analytical and data-driven models provide a reliable framework for predicting the behavior of such columns, highlighting the potential for this technology to address the limitations of conventional structural design.
Keywords
References
Most read articles by the same author(s)
- Prof. Priyank Mehta, SECURING CLOUD ENVIRONMENTS WITH HOMOMORPHIC ENCRYPTION , International Research Journal of Advanced Engineering and Technology: Vol. 1 No. 1 (2024): Volume 01 Issue 01 2024
- Dr. Prakash Kumar, INVESTIGATING THE EFFECT OF WELDING CONDITIONS ON THE TENSILE STRENGTH OF GMAW JOINTS , International Research Journal of Advanced Engineering and Technology: Vol. 1 No. 1 (2024): Volume 01 Issue 01 2024
- Dr. Rajni Ayer, SHAPING CONSUMER CHOICES: THE ROLE OF ADVERTISEMENTS IN FMCG PURCHASES IN THANJAVUR TOWN , International Research Journal of Advanced Engineering and Technology: Vol. 1 No. 1 (2024): Volume 01 Issue 01 2024
- R. ARUN KUMAR, STRATEGIES FOR EFFICIENT AND SECURE BROADCASTING IN WIRELESS AD HOC NETWORKS , International Research Journal of Advanced Engineering and Technology: Vol. 1 No. 1 (2024): Volume 01 Issue 01 2024
- Miguel Dela Cruz, ENHANCING FACIAL IMAGE QUALITY: A REVIEW OF RECENT PREPROCESSING APPROACHES , International Research Journal of Advanced Engineering and Technology: Vol. 2 No. 01 (2025): Volume 02 Issue 01
- Dr. Chen Wei-Liang, Influence of Apertures on Dynamic Energy Dissipation in Thin-Walled Tubular Structures Under Impact , International Research Journal of Advanced Engineering and Technology: Vol. 2 No. 05 (2025): Volume 02 Issue 05
- Dr. Ranjeet kumar, ASSESSING THE EFFICACY OF ADVANCED OPTIMIZATION TECHNIQUES FOR TITANIUM CUTTING SURFACE OPTIMIZATION , International Research Journal of Advanced Engineering and Technology: Vol. 1 No. 1 (2024): Volume 01 Issue 01 2024
- Dr. Dakota Johnson, ADVANCED MULTI-ATTRIBUTE DECISION-MAKING: A PICTURE FUZZY EINSTEIN OPERATOR AND TOPSIS APPROACH , International Research Journal of Advanced Engineering and Technology: Vol. 2 No. 04 (2025): Volume 02 Issue 04
- Michael Lee, David Zhang, FROM INSPECTION TO INNOVATION: THE GROWTH OF STRUCTURAL HEALTH MONITORING IN MODERN ENGINEERING , International Research Journal of Advanced Engineering and Technology: Vol. 2 No. 03 (2025): Volume 02 Issue 03
- Prof. Michael T. Roberts, OPTIMIZING OPEN HARDWARE FOR SOLAR PHOTOVOLTAIC RACKING: A GEOGRAPHICAL CASE STUDY APPROACH , International Research Journal of Advanced Engineering and Technology: Vol. 2 No. 02 (2025): Volume 02 Issue 02
Similar Articles
- Dr. Lucas M. Reinhardt, aim journal -Advancing Structural-8-13 , International Research Journal of Advanced Engineering and Technology: Vol. 2 No. 04 (2025): Volume 02 Issue 04
- Dr. Larian D. Venorth, Prof. Maevis K. Durand, A Novel Unilateral Push-Out Test Method for Evaluating Shear Connectors in Composite Beams , International Research Journal of Advanced Engineering and Technology: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Dr. Elias M. Novak, Prof. Anya P. Vasilieva, Dr. Kenji T. Sato, Optimized Prediction of Punching Shear Capacity in Reinforced Concrete Slabs: A Metaheuristic Machine Learning Approach , International Research Journal of Advanced Engineering and Technology: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Dr. Chen Wei-Liang, Influence of Apertures on Dynamic Energy Dissipation in Thin-Walled Tubular Structures Under Impact , International Research Journal of Advanced Engineering and Technology: Vol. 2 No. 05 (2025): Volume 02 Issue 05
- Rahul Chatterjee, Adversarial Learning Under Noise And Weak Supervision: Robust Methodological Foundations And Applications Across Security, Perception, And Socio-Technical Systems , International Research Journal of Advanced Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
You may also start an advanced similarity search for this article.