Impact of Imperfect Kolsky Bar Experiments Across Different Scales Assessed Using Finite Elements

Research output: Contribution to journalArticlepeer-review

Abstract

Typical Kolsky bars are 10–20 mm in diameter with lengths of each main bar being on the scale of meters. To push 10 strain rates, smaller systems are needed. As the diameter and mass decrease, the precision of the alignment must increase to maintain the same relative tolerance, and the potential impacts of gravity and friction change. Finite element models are typically generated assuming a perfect experiment with exact alignment and no gravity. Additionally, these simulations tend to take advantage of the radial symmetry of an ideal experiment, which removes any potential for modeling nonsymmetric effects, but has the benefit of reducing computational load. In this work, we discuss results from these fast-running symmetry models to establish a baseline and demonstrate their first-order use case. We then take advantage of high-performance computing techniques to generate half symmetry simulations using AbaqusVR to model gravity and misalignment. The imperfection is initially modeled using a static general step followed by a dynamic explicit step to simulate the impact events. This multistep simulation structure can properly investigate the impact of these real-world, nonaxis symmetric effects. These simulations explore the impacts of these experimental realities and are described in detail to allow other researchers to implement a similar finite element (FE) modeling structure to aid in experimentation and diagnostic efforts. It is shown that of the two sizes evaluated, the smaller 3.16-mm system is more sensitive than the larger 12.7 mm system to such imperfections.

Original languageEnglish (US)
Article number011001
JournalJournal of Verification, Validation and Uncertainty Quantification
Volume9
Issue number1
DOIs
StatePublished - Mar 1 2024

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modeling and Simulation
  • Computer Science Applications
  • Computational Theory and Mathematics

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