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March 3, 20260 citations

Determination of the Jones-Wilking-Lee – Equation of state parameters from height-of-burst detonation tests using optimization method

ÁMÁngel Prado MorenoRRRicardo Castedo RuizAYAnastasio Pedro Santos Yanguas

Key Points

  • Optimized equation of state parameters reproduced experimental overpressures under ± 10% error margin.
  • Calibration was achieved using pressure–time data from sensors during three charge weight tests.
  • Numerical simulation combined with an optimization method simplifies traditional experimental procedures.
  • Proposed methodology proves effective for a variety of current and future explosive modeling applications.

Abstract

This work presents a practical and general methodology for determining Jones–Wilkins–Lee (JWL) Equation of State (EOS) parameters through numerical optimization, which is demonstrated here for the military explosive PG3 (similar to C4). The approach couples the Sequential with Domain Reduction strategy implemented in LS-OPT with a two-dimensional axisymmetric LS-DYNA model used to simulate height-of-burst spherical air-blast detonations. Three charge weights (0.7, 1.0, and 1.4 kg) were tested, with pressure sensors placed radially at 2, 4, and 8 meters. Pressure–time histories from the 2 m and 4 m sensors of the 0.7 kg and 1.4 kg tests were used for calibration, while the 1.0 kg case and 8 m sensors were left for validation. The optimized JWL parameters reproduced the experimental overpressures in LS-DYNA with errors mostly below ± 10 %, accurately capturing both the shape and magnitude of the positive phase. These parameters were further validated using Viper::Blast software, achieving good agreement in peak pressures and impulses. Overall, the study demonstrates a simple and cost-effective alternative to traditional methods, such as the cylinder test, for determining EOS parameters. By relying only on basic air blast tests and numerical optimization, the proposed methodology significantly reduces experimental complexity while maintaining high predictive accuracy, making it well suited for a wide range of blast modelling applications.

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Cite This Study

Moreno et al. (2026) studied this question.

synapsesocial.com/papers/69a76229c6e9836116a30555
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