Theory, Solution Methods, and Implementation of the HERMES Model

Reaugh, J E; White, Bradley; Curtis, J. P.; Springer, H. Keo

doi:10.2172/1409947

Cited by 3 publications

(2 citation statements)

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“…Liu and Chen applied the visco-SCRAM to non-shock impacts to relate the impact velocity to ignition time, sample size and the influence of the projectile shape [15,16]. Reaugh et al [17] developed a high explosive response to the mechanical stimulus model (HERMES) by simultaneously considering the yield strength, the equation of state, particle fractures and also built up the relationship between cracks and ignition. Barua and Zhou [1,18,19] developed a Lagrangian framework based on the cohesive finite-element model to analyze the crack evolution of the interface between the explosive crystal and polymer and to further investigate the ignition induced by the shock wave generated from the high-velocity impact.…”

Section: Introductionmentioning

confidence: 99%

Computational Investigation of Crack-Induced Hot-Spot Generation in Energetic Composites

et al. 2021

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The sensitivity of polymer-bonded explosives (PBXs) can be tuned through adjusting binder material and its volume fraction, crystal composition and morphology. To obtain a better understanding of the correlation between grain-level failure and hot-spot generation in this kind of energetic composites as they undergo mechanical and thermal processes subsequent to impact, a recently developed interfacial cohesive zone model (ICZM) was used to study the dynamic response of polymer-bonded explosives. The ICZM can capture the contributions of deformation and fracture of the binder phase as well as interfacial debonding and subsequent friction on hot-spot generation. In this study, a two-dimensional (2D) finite element (FE) computational model of energetic composite was developed. The proposed computational model has been applied to simulate hot-spot generation in polymer-bonded explosives with different grain volume fraction under dynamic loading. Our simulation showed that the increase of binder phase material volume fraction will decrease the local heat generation, resulting in a lower temperature in the specimen.

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Section: Introductionmentioning

confidence: 99%

Computational Investigation of Crack-Induced Hot-Spot Generation in Energetic Composites

et al. 2021

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“…Liu and Chen [9] also applied the visco-SCRAM to non-shock impacts to relate the impact velocity to ignition time, sample size, and the influence of the projectile shape. Reaugh et al [10] developed a high explosive response to the mechanical stimulus model (HERMES) by simultaneously considering the yield strength, the equation of state, particle fractures, and so on, and also built up the relationship between cracks and ignition. However, because these models could not describe the microstructural effect of PBXs, Barua and Zhou [11] and Barua et al [12][13] developed a Lagrangian framework based on the cohesive finite-element method to analyze the crack evolution of the interface between the explosive crystal and polymer and further the ignition induced by the shock wave generated from the high-velocity impact, in view of the PBX microstructure.…”

Section: Introductionmentioning

confidence: 99%

Non‐Shock Ignition Probability of Octahydro‐1,3,5,7‐Tetranitro‐Tetrazocine‐Based Polymer Bonded Explosives Based on Microcrack Stochastic Distribution

Chen

Zhang

et al. 2019

Propellants Explo Pyrotec

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We investigate stochastic microcracks of a heterogeneous microstructure as the primary mechanism determining the non‐shock ignition probability of octahydro‐1,3,5,7‐tetranitro‐1,2,3,5‐tetrazocine‐based polymer‐bonded explosives. To quantify the ignition probability, we modify the viscoelastic cracking constitutive model by considering randomly distributed microcracks and combine this model with the hot‐spot model and the Monte Carlo method. This method is validated by using a standard Steven test simulation, and we quantify how the microcrack stochasticity affects the ignition probability. The high‐temperature region clearly changes compared with the case of single microcrack size. The discrepancy in the mechanical response of each element due to the heterogeneous microcracks causes a shear deformation, which increases the temperature. The difference between a uniform distribution and a normal distribution in microcrack size is also discussed. For a given impact velocity, the ignition probability for the normal microcrack size distribution exceeds that for the uniform microcrack size distribution. Although the two distributions have the same mean and variance, the real range in microcrack size corresponding to the normal distribution exceeds that for the uniform distribution. The results show that the sample radius does not significantly affect the ignition probability, whereas the opposite is true for the sample thickness. The ignition‐probability curve is obtained in these cases. For sample dimensions of φ70 mm×13 mm, φ98 mm×13 mm, φ140 mm×13 mm, and φ98 mm×26 mm, the impact velocity thresholds corresponding to ignition probabilities in the range 0 %–99 % are 41.0–43.7, 41.0–44.3, 40.0–44.6, and 62.0–67.2 m/s, respectively, which is consistent with experimental results.

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Data-driven predicting the ignition of polymer-bonded explosives with heterogeneous microcracks

Liu

Cheng

Chen

et al. 2021

Journal of Energetic Materials

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Theory, Solution Methods, and Implementation of the HERMES Model

Cited by 3 publications

References 0 publications

Computational Investigation of Crack-Induced Hot-Spot Generation in Energetic Composites

Computational Investigation of Crack-Induced Hot-Spot Generation in Energetic Composites

Non‐Shock Ignition Probability of Octahydro‐1,3,5,7‐Tetranitro‐Tetrazocine‐Based Polymer Bonded Explosives Based on Microcrack Stochastic Distribution

Data-driven predicting the ignition of polymer-bonded explosives with heterogeneous microcracks

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