Structural analysis under blast loading

Date

2023-7-25

Author

Erdayı, Deniz Can

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Blast loading in confined and semi-confined spaces often becomes amplified compared to free-field conditions due to multiple shock reflections. Understanding the temporal distribution of pressure on the walls of such spaces is crucial for assessing structural integrity. Computational Fluid Dynamics (CFD) can accurately model the evolution of pressure over time. However, significant wall deformations also influence shock wave interactions and pressure distribution, necessitating a coupled solution to adequately investigate structural integrity under blast loading in confined/semiconfined environments. This thesis proposes a partitioned co-simulation technique with an Arbitrary Lagrangian-Eulerian (ALE) approach to tackle the aforementioned Fluid-Structural Interaction (FSI) problem. A Finite Volume Computational Fluid Dynamics Model is employed for the fluid domain, while a Non-linear Finite Element Model is utilized for the solid domain. These domains are co-simulated using an explicitly coupled partitioned approach. The requirements for domain discretization diverge between the fluid and solid domains, resulting in non-conformal meshes at the interface. To address this, this work proposes new mapping techniques for transferring data between non-conformal meshes at the boundary, specifically for pressure mapping and displacement mapping. The pivotal contributions of this thesis lie in proposing a simulation framework tailored for semi-confined explosion analysis and a novel hybrid approach for bi-directional conservative data transfer between non-conformal meshes. These advancements significantly enhance the capabilities and accuracy of modeling and analysis in this complex field.

Subject Keywords

Blast, ALE, Arbitrary Lagrangian-Eulerian Coupling, FSI, Fluid Solid Interaction, CFD, Computational Fluid Dynamics, FEM, Finite Element Methods

URI

https://hdl.handle.net/11511/104835

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Graduate School of Natural and Applied Sciences, Thesis