This study examines the impact of compact mechanical threaded couplers on the cyclic performance of reinforced concrete columns, with a focus on foundation-to-column connections under axial and cyclic loading conditions. A series of experimental analyses were conducted on six square-section column configurations, subjected to both monotonic and cyclic loading tests. These configurations varied in splice types, ranging from non-spliced reinforcement bars, overlap splices, to threaded mechanical splices, with some couplers strategically positioned at various heights to assess the influence on structural behavior.The experimental methodology adopted controlled displacement tests to simulate real-world loading conditions, concentrating on key structural parameters such as lateral load-bearing capacity, ductility, absorbed energy, and stiffness. Furthermore, the study incorporated advanced digital image correlation techniques to monitor crack propagation, offering precise evaluations of local behaviors and crack distribution patterns. Additionally, the integration of fiber optic sensors along longitudinal rebars presents a novel approach to enhance real-time monitoring of structural integrity, providing precious insights into stress distribution and early detection of potential failures.Preliminary findings suggest that the use of compact mechanical threaded parallel couplers does not compromise structural performance when compared to traditional continuous rebar configurations. In fact, alternating the placement of mechanical couplers along the column height has been identified as a potentially efficient and reliable method for bar splicing, aiming to mitigate bar slipping. Notably, critical parameters including failure load, overall stiffness, and crack distribution closely matched within the uncertainty range of the tests, aligning with existing regulatory standards for crack management.This research significantly advances the understanding of RC behavior in foundational structures, advocating for the adoption of threaded parallel couplers as an effective reinforcement method under diverse loading conditions. The findings highlight the potential for these innovative connection techniques to improve construction efficiency and structural resilience, marking a significant contribution to the field of civil engineering.

This study focuses on reducing energy consumption in buildings by developing a thermal bridge breaker to minimize heat loss between walls and parapets, improving energy efficiency. The effectiveness of the proposed solution is evaluated whether the reinforcing bar connection could accurately represent the performance of the structure before loading through experimental testing, and computational simulations using the LS-DYNA program. The study also suggests crucial input parameters and constitutive models for concrete and steel within the LS-DYNA program. Finally, this research aims to provide valuable insights into designing energy-efficient building structures that can withstand various loads.

Fiber reinforced polymer (FRP) materials consistently show excellent performance in strengthening and repairing reinforced concrete structures under different types of loads. This work introduces the creation of finite element (FE) models for retrofitted RC column with AFRP-retrofitted using the dynamic analysis software LS-DYNA. The damage evaluation of seismic performance is examined by considering criteria such as drift and energy-based damage limitations. To significantly reduce computational time without sacrificing accuracy, fast-running machine learning models such as recurrent neural network (RNN) and adaptive neuro-fuzzy inference system (ANFIS) were used to predict the seismic damage performance of RC column structures. The optimal FRM was selected after assessing many criteria including R-square values, mean absolute error (MAE), and root mean square error (RMSE).