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<p>Flat plate-column connections are integral components of reinforced concrete structures, commonly used in modern construction for their simplicity and aesthetic flexibility. However, these systems are vulnerable to critical failures such as punching shear and lateral cyclic displacement, particularly under dynamic loading conditions like seismic events. This review addresses these hurdles by investigating recent advancements in the structural performance of slab-column connections, focusing on both experimental and computational methodologies. The study emphasizes material innovations, including hybrid composites like fiber-reinforced concrete (FRC) and ultra-high-performance concrete (UHPC), alongside advanced shear reinforcement techniques such as post-installed bolts and 3D lattice systems. Key findings reveal the transformative potential of emerging retrofitting strategies, including nanomaterial coatings and smart self-healing concrete, for improving resilience and durability. The review also explores the application of machine learning models for predicting failure mechanisms, handling a significant gap in current design practices. Moreover, the study highlights overlooked parameters, such as boundary conditions and dynamic strain aging, which are crucial for comprehension of the behavior of slab-column connections under multi-hazard scenarios. By integrating sustainability into the discussion, this review advocates for the adoption of AI and IoT-driven real-time monitoring systems and carbon-efficient retrofitting materials to achieve multi-hazard-resistant designs. These innovations promise to advance the field of structural engineering, enhancing both performance and environmental sustainability. Notably, the review presents novel perspectives on incorporating self-healing materials and machine learning techniques into the design and retrofitting of slab-column systems, approaches that have not been widely explored in practice. This work not only identifies actionable directions for future research but also offers a pioneering roadmap for creating safer, more resilient, and eco-friendly flat plate-column systems.</p> Graphical abstract <p></p>

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Advances in the structural performance of reinforced concrete flat plate-column connections under gravity and seismic loads

  • 期刊论文

  • 发表日期：

    2025年1月26日

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  • Abathar M. Al-Yaseri,
  • Laith Kh. Al-Hadithy

摘要

Flat plate-column connections are integral components of reinforced concrete structures, commonly used in modern construction for their simplicity and aesthetic flexibility. However, these systems are vulnerable to critical failures such as punching shear and lateral cyclic displacement, particularly under dynamic loading conditions like seismic events. This review addresses these hurdles by investigating recent advancements in the structural performance of slab-column connections, focusing on both experimental and computational methodologies. The study emphasizes material innovations, including hybrid composites like fiber-reinforced concrete (FRC) and ultra-high-performance concrete (UHPC), alongside advanced shear reinforcement techniques such as post-installed bolts and 3D lattice systems. Key findings reveal the transformative potential of emerging retrofitting strategies, including nanomaterial coatings and smart self-healing concrete, for improving resilience and durability. The review also explores the application of machine learning models for predicting failure mechanisms, handling a significant gap in current design practices. Moreover, the study highlights overlooked parameters, such as boundary conditions and dynamic strain aging, which are crucial for comprehension of the behavior of slab-column connections under multi-hazard scenarios. By integrating sustainability into the discussion, this review advocates for the adoption of AI and IoT-driven real-time monitoring systems and carbon-efficient retrofitting materials to achieve multi-hazard-resistant designs. These innovations promise to advance the field of structural engineering, enhancing both performance and environmental sustainability. Notably, the review presents novel perspectives on incorporating self-healing materials and machine learning techniques into the design and retrofitting of slab-column systems, approaches that have not been widely explored in practice. This work not only identifies actionable directions for future research but also offers a pioneering roadmap for creating safer, more resilient, and eco-friendly flat plate-column systems.

Graphical abstract