ON A NEW METHOD TO DEFINE THE PERSISTENCE OF NONRECOVERABLE EXPENDABLE DEVICES IN EXPLOSIVE SYSTEMS
Background. In peacetime, the ammunition storing takes up to 95% of the duration of the operation stage, and it becomes necessary to develop and define a new criterion for the preservation of explosive complex technical systems of single use at the storage stage. This criterion, in accordance with State Standart RV 15.702-94 [1], is an assigned storage period before disposal. A scientific problem arises in the development of methods for determining the considered criterion of preservation. The purpose of the work is to develop a method for determining an assigned shelf life before decommissioning for non-recoverable devices (fuses, means of ignition) supplied with ammunition. Materials and methods. The essence of the method is to determine a designated storage period until the write-off before the onset of the first gradual or sudden failure, which are random variables that obey the normal and exponential distribution laws, respectively, or the laws generated by them. Results. The new method (based on the sign of the considered devices’ reliability) for determining the criterion of an assigned storage period until the write-off of nonrecoverable devices supplied with ammunition is different from the existing ones. It is distinguished by increased accuracy of the forecast of the proposed criterion without attracting the corresponding financial and material costs for conducting additional tests under resource constraints. Conclusions. A new method has been developed for determining the criterion of retention of non-recoverable devices of single-use explosive systems - an assigned storage period before decommissioning until the onset of the first gradual or sudden failure, which is a random variable, obeying the truncated exponential and generalized truncated exponential distribution laws. Analytical dependences have been obtained for calculating the mathematical expectation and variance of a random variable of the time of failure as the minimum of two random variables.