<p>Corrosion-induced damage significantly affects the structural performance of reinforced concrete (RC) elements. However, the influence of corrosion on the dynamic characteristics of RC structures and its correlation with static performance has remained relatively underexplored, primarily due to the technical challenges and high costs associated with conventional testing methods. This study introduces and experimentally validates an innovative output-only dynamic assessment framework, enabled by recent advancements in sensor technology and signal processing. This approach provides an efficient, non-destructive means of assessing the corrosion effects on RC beams, bridging the gap between dynamic behavior and structural degradation. This study reports configuration-resolved evidence linking corrosion progression to output-only modal parameters across three reinforcement configurations, with practical notes on repeatability of the suggested approach and on the reliability of frequency and damping as a primary indicators. Twelve RC beams with different reinforcement layouts were cast and exposed to accelerated electrochemical corrosion. Static tests recorded stiffness reduction, while dynamic tests used accelerometers and hammer impacts to obtain time-history responses for modal analysis. Output-Only Modal Analysis (OMA) techniques, specifically Stochastic Subspace Identification (SSI), were incorporated to establish natural frequencies and damping ratios. The results show that while static analysis identifies stiffness reduction, the proposed vibration-based approach offers a practical solution for continuous damage detection. The use of twelve beams adds structured, multi-specimen dataset to the limited studies on the dynamic response of corrosion-damaged RC structures. This work supports the reliability of the proposed framework in evaluating dynamic behavior and highlights its potential for non-destructive, large-scale structural health monitoring in deteriorating infrastructure.</p>