关键词: 炮振环境试验, 炮振通用谱, 冲击响应谱（SRS）, 实测数据建模, OPAX响应预计, 试验验证

Abstract: It is widely used the gunfire environment general spectrum, which is regulated in the GJB (Military Standard Quality Management System) in carrying out the gunfire environmental screening test of the airframe structure and airborne equipment. However, practical applications reveal significant discrepancies between this spectrum and real-world gunfire vibration environments, leading to substantial energy mismatch (amplitude differences exceeding fivefold) and failure in accurately evaluating structural cumulative damage. To address these issues, this study conducted gunfire vibration measurements on an aircraft equipment cabin. The results demonstrated that the traditional random vibration-based general spectrum cannot characterize the real shock pulse characteristics. Subsequently, a Shock Response Spectrum (SRS) was constructed based on measured data. The Operational Path Analysis with eXogenous inputs（OPAX）method was further applied to predict responses in high-impact zones where direct measurement is restricted. Finite element simulations and laboratory experiments were employed to validate the SRS method. The findings revealed:1）The SRS-derived waveform exhibited high consistency with measured data in terms of pulse morphology and amplitude trends (energy matching error <15%); 2）The SRS strain responses effectively enveloped the full range of transient shock test results. This study further established that SRS, by integrating multi-pulse energy statistics with structural dynamics coupling, precisely replicates the dynamic characteristics of real gunfire environments. Combined with OPAX predictions, the approach fills the technical gap in domestic engineering applications of gunfire vibration spectra and response estimation. It fills the technical gap in domestic engineering applications of gunfire vibration spectra and provides a scientific, standardized testing methodology for evaluating the reliability of aircraft structures and airborne equipment. The proposed approach significantly enhances the precision and practicality of environmental adaptability verification for defense systems.

Key words: Gunfire vibration environment testing, General spectrum, Shock Response Spectrum (SRS), Measured data modeling, OPAX-based response prediction, Experimental validation