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I am glad to share our recently published work dealing with Physics-based Demand Model and #Fragility Functions of Industrial Tanks under #Blast Loading.
This paper propose a physics-based probabilistic demand model and formulate the reliability problem for industrial steel tanks under blast loading. Starting from a deterministic Single-Degree-of-Freedom (SDOF) model based on Donnell shallow-shell theory, we develop a correction term that improves the model accuracy due to the simplified representation of the SDOF model. We use Bayesian inference to estimate the unknown model parameters in the correction term and model error, combining predictions from the SDOF model with experimental data and any prior information. To illustrate, we estimate the reliability of an example cylindrical steel tanks subject to blast loading considering three damage levels. The reliability analysis yields a set of fragility curves that represent the conditional prob- ability of the bending failure of the tank given a scaled distance, as the load intensity measure. Then, as an example, we use the developed fragility functions to estimate the reliability of a chemical industrial facility considering different explosion scenarios.
More details could be found with this free access link
Many thanks to Paolo Gardoni and Fabrizio Nocera for the wonderful collaboration!
#civilengineering #engineering #structures #Steel #SDOF #DemandModel #Model #Tank