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Enhancing Industrial Safety Against Explosions

Title: "Physics-based Demand Model and Fragility Functions of Industrial Tanks under Blast Loading"

Context: Blast hazards pose a critical risk to industrial infrastructures. Historical explosion events have underlined the devastating impacts they can bring. Addressing this, our latest research introduces a groundbreaking approach to enhance the resilience of industrial facilities against such threats.

About This Paper: Leveraging the deterministic Single-Degree-of-Freedom (SDOF) model founded on Donnell shallow-shell theory, our study advances this model by integrating a novel correction term. This term significantly refines the model's accuracy by compensating for the oversimplifications inherent in the SDOF model. Utilizing Bayesian inference, we meticulously estimate unknown parameters within the correction term and model error. This synthesis not only incorporates predictions from the SDOF model but also aligns them with experimental data and prior information.

Application & Impact: Through a detailed reliability analysis of cylindrical steel tanks subjected to blast loading, we define three potential damage levels. The analysis culminates in the development of fragility curves. These curves delineate the conditional probability of bending failure relative to blast intensity, offering invaluable insights for safety assessments.

Practical Use-Case: To demonstrate the practical utility of our findings, we apply these fragility functions to simulate different explosion scenarios at a chemical industrial facility. This example showcases how our model can be used to significantly enhance the reliability and safety planning of industrial plants.

Call to Action: We invite industry professionals, plant designers, and safety engineers to explore the detailed findings of our research. Your engagement and feedback will be pivotal as we continue to refine our models and approaches for safer industrial environments.

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#IndustrialSafety #BlastHazards #EngineeringResearch #SafetyEngineering #RiskManagement #BayesianInference #IndustrialEngineering