To solve the problem of system-level thermal effect and condition assessment, the dynamic reliability assessment model of the structural and functional components is established. The continuous process simulation is combined with discrete event simulation. The temperature field, deformation field and stress field is calculated by continuous process simulation, and the reliability index, such as the health status is calculated by discrete event simulation. Meanwhile the efficient and collaborative algorithm of the model is studied. On the basis of the above analysis method, the multiple component system is established and the cycles directed energy boundary conditions is applied. The state of the system is obtained by simulation. The analysis results show that the health state of the system decreases faster with the increase of power density. When the power density increases from 2W/cm2 to 8W/cm2 , the decline rate of health state of the system increases by 1 times. This analysis method can provide a technical basis for the study of system irradiation effect.
The thermal effect is one of the main effects of directed energy interaction with materials. Currently, research on thermal effects between directed energy and materials have been extensively developed. However the system level thermal effect and thermal failure evaluation is relatively less, especially the system level thermal failure evaluation lacks of effective analysis method. In this paper, the method of reliability analysis based on fuzzy inference and Monte-Carlo method is proposed to quantitatively evaluate the thermal failure process of the system. Based on the above method, simulation verification is performed. The component model is established and the boundary conditions of the directed energy are applied. Through the simulation, the thermal failure quantitative evaluation results of the system are obtained. The thermal failure rules of the system are studied and the results can be used for system level radiation effect research.
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