Methodology combines computational fluid dynamics and experimental diagnostics to enhance post-fire safety assessments of reinforced concrete structures.
This paper addresses the critical need for accurate post-fire assessment of reinforced concrete warehouses, where fire-induced damage can compromise structural safety and repair strategies. Traditional visual inspection and conservative design assumptions often fail to capture the true extent of degradation, especially under realistic fire scenarios. To overcome these limitations, a combined computational fluid dynamics and finite-element framework that simulates the warehouse fire environment, estimates thermal exposure, and evaluates its impact on the structural response and residual capacity of damaged reinforced concrete elements is presented. Experimental diagnostics – including laser scanning, non-destructive testing, and material sampling – were conducted to calibrate the models and quantify damage. The findings highlight that the proposed methodology enables a more reliable identification of severely compromised components, supports targeted and cost-effective retrofitting interventions, and offers practical guidance for improving resilience in similar structures. This work advances performance-based fire engineering by demonstrating a validated and holistic assessment strategy that can inform reconstruction decisions and enhance fire safety practices in industrial buildings.
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Stochino et al. (2025) studied this question.
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