JWL equation of state parameters for ideal detonation: A comparative study of literature reports, theoretical derivation, and artificial neural network prediction
Year: 2025
Type: article
Abstract: JWL equation of state (EOS) is widely used for interpreting the energy release of detonation in high explosives. Focused on the ideal detonation behavior of high explosives, an artificial neural network (ANN) model was developed in this study for predicting the parameters of JWL EOS. During model establishment, the chemical composition, charge density and enthalpy of high explosives were used as input data, while the output parameters were corresponding to the JWL EOS coefficients. A dataset comprising of 66 pieces of open data was employed for model training. By taking the isentropic expansion curve of detonation products as references, the ANN model validation was performed through a comprehensive comparison method incorporating published data, theoretical derivation and model predictions. The results demonstrate that isentropic expansion curves obtained from literature data, theoretical derivation and model prediction exhibit a high degree of coincidence for HMX, LX-19 and PBX9701 high explosives, with error margins remained below 5%, correlation coefficients exceeding 0.99, similarity index being above 0.97 and statistical test hypothesis being satisfied. The accuracy of ANN model is proved equivalent to that of theoretical derivation, which indicates the validity of ANN model for prediction of JWL EOS parameters in ideal detonation modeling of high explosives. This study can offer a novel approach for predicting JWL EOS parameters of high explosives.
Source: FirePhysChem
Authors: Ruipeng Liu, Linjing Tang, Xianzhen Jia, Xuying Jiao, Rui Yan, Xibo Jiang
Language: English
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4413236409