Abstract
Predictions of the remaining lifetime of aging solid-propellant rocket motors are affected by the uncertainties of various chemical parameters in the reaction. This paper proposes a nonprobabilistic interval method for evaluating the life bounds of aging solid-propellant rocket motors. In this method, chemical uncertainties in the aging process are represented by uncertain-but-bounded initial parameters, and the uncertainties arising in aging solid-propellant rocket motors are described by an interval model. A sparse regression Legendre inclusion function is then employed to establish an interval model for aging solid-propellant rocket motors, which can be directly solved in deterministic form using the finite element method. Finally, in conjunction with the deterministic solutions, the sparse regression Legendre interval algorithm is employed to obtain the bounds of the storage life related to the uncertain interval parameters. The effectiveness of the proposed method is verified by considering an uncertain storage life prediction problem under the accelerated thermoaging process with constant temperature conditions. The proposed method provides a reliable tool for predicting the storage life of aging solid-propellant rocket motors.
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