Methods for determining the states of an artillery gun under dynamic disturbances
Keywords:
Self-propelled artillery system, dynamic assessment, combat capability, barrel service life, state tree, decision-making model, time budgetSynopsis
This chapter develops a comprehensive model for assessing the technical condition and combat capabilities of a self-propelled artillery system (SPAS) considered as a complex dynamic object operating under conditions of cumulative wear and exposure to external combat factors. An approach to formalizing the system state is proposed, based on the integration of acoustic, visual, thermodynamic, and mechanical parameters with the construction of a generalized system of serviceability criteria.
Mathematical models are developed to describe the acoustic field of a shot, the processes of formation and evolution of the muzzle discharge, as well as methods for evaluating barrel stability with account taken of thermal and mechanical wear factors. An information model of artillery barrel operation is formulated, incorporating multivector serviceability conditions and enabling automation of residual life calculations.
A state tree of the system is constructed for rank-based assessment of the current technical condition, and combat capability criteria are integrated into a unified decision-making model using the ideal point method. An analytical relationship is derived to determine the required number of rounds to engage a target with a specified probability, together with a time-based model for evaluating mission execution that considers a window of particular vulnerability and maneuverability constraints. Computational examples demonstrate the practical implementation of the proposed approach and its applicability to assessing the risk of system loss and substantiating the advisability of opening fire.
The results establish a methodological foundation for further automation of condition monitoring of artillery systems and may be employed as an algorithmic module within decision-support systems for combat employment.
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89-116
Text Identifier of this Chapter
Chapter 4
Published
June 19, 2026
Copyright (c) 2026 Oksana Maksymova, Pavlo Gultsov, Volodymyr Demydenko, Yevhenii Dobrynin
How to Cite
Maksymova, O., Gultsov, P., Demydenko, V., & Dobrynin, Y. (2026). Methods for determining the states of an artillery gun under dynamic disturbances. In M. Maksymov, P. Gultsov, O. Toshev, O. Sidelnykov, R. Riaboshapka, O. Brunetkin, V. Davydov, V. Demydenko, M. Maksymov, O. Maksymova, Y. Dobrynin, O. Maksymov, & V. Boltenkov, Simulation modeling of artillery systems for improving game simulators. From theory to practice (pp. 89-116). Scientific Route OÜ®. https://doi.org/10.21303/978-9908-8450-1-2.ch4
