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Abstract
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Recent studies have highlighted the growing vulnerability of aging reinforced concrete infrastructure to combined deterioration and extreme loading scenarios (Yi et al., 2024). Reinforcement corrosion remains one of the primary causes of long-term degradation in RC structures, leading to reductions in strength, stiffness, ductility, and load redistribution capacity. At the same time, increasing concerns regarding accidental hazards such as blast, impact, and sudden column loss have intensified the need for realistic progressive collapse assessment of existing buildings. Recent investigations have demonstrated that collapse resistance is strongly dependent on structural redundancy, catenary action, and post-yield deformation capacity, all of which can be significantly affected by corrosion-induced deterioration. Although current design provisions such as GSA and UFC provide procedures for evaluating progressive collapse resistance, they generally assume intact structural systems and do not explicitly account for corrosion damage accumulated during the service life of structures. Consequently, the actual safety level of aging RC buildings may be overestimated when deterioration effects are ignored. Recent studies have also emphasized the importance of performance-based and resilience-oriented assessment approaches that evaluate not only collapse prevention but also the ability of structures to preserve functionality after local damage (Chen et al., 2024). Furthermore, corrosion in real structures is rarely uniform. Deterioration often concentrates in lower stories, highly stressed regions, or around critical structural components. Despite this reality, most existing studies still assume uniform corrosion distributions and pay limited attention to the interaction between corrosion location and collapse-triggering events. Therefore, investigating the influence of different corrosion distribution patterns on the structural resilience of RC moment frames subjected to prog
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