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Uncertainty Quantification in Serviceability of Impacted Steel Pipe

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Optimization of Complex Systems: Theory, Models, Algorithms and Applications (WCGO 2019)

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Abstract

The problem of the vulnerability of structures facing explosions came to the front line of the scientific scene in the last decades. Structural debris usually present dangerous potential hazard, e.g. domino accident. Deterministic models are not sufficient for reliability analysis of structures impacted by debris. Uncertainty of the environmental conditions and material properties have to be taken into account. The proposed research is devoted to the analysis of a pipeline behavior under a variable impact loading. Bernoulli beam model is used as a structural model of a pipeline for the case simplicity, while the different formulation for impact itself are studied to simulate the wide range of possible types of debris. Model sensitivity is studied first. The influence of input parameters on structural behavior, that are the impact force, duration and position, as well as beam material are considered. Uncertainty analysis of several impacts are then presented. The obtained insights can provide the guidelines for the structure optimization under the explosive loading taking into account the uncertainties.

This research is a part of a project AMED, that has been funded with the support from the European Union with the European Regional Development Fund (ERDF) and from the Regional Council of Normandie.

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Acknowledgment

This research is a part of a project AMED, that has been funded with the support from the European Union with the European Regional Development Fund (ERDF) and from the Regional Council of Normandie.

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Correspondence to Renata Troian .

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Troian, R., Lemosse, D., Khalij, L., Gautrelet, C., de Cursi, E.S. (2020). Uncertainty Quantification in Serviceability of Impacted Steel Pipe. In: Le Thi, H., Le, H., Pham Dinh, T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. WCGO 2019. Advances in Intelligent Systems and Computing, vol 991. Springer, Cham. https://doi.org/10.1007/978-3-030-21803-4_57

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