Novel damage criterion in database form based on component-level vulnerability assessment

Bo Feng, Fengjiang An*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Target vulnerability assessments commonly involve large and complex components such as engines exhibiting a lack of systematic and comprehensive representation of damage criteria. This study presents a novel approach to characterizing the damage criteria of large and complex components when impacted by fragments in the form of a database. The damage criteria are formulated based on component-level vulnerability assessments and presented in tabular format, providing information on the component damage probability under the impact of fragments with different velocities, masses, and directions, as well as the residual velocity and mass data for fragments passing through the component. A servo is chosen as a representative component to establish damage criteria in the form of a database. Steel fragments, with masses ranging from 4 g to 7 g and velocities from 100 m/s to 1800 m/s, are employed to impact the servo component from 26 different directions. A total of 1144 sets of vulnerability data for the component are collected, including the damage probability of the servo and the residual mass and velocity of fragments. These data serve as comprehensive damage criteria for the servo component. A comparison between these component damage criteria in a database form with those derived using an equivalent target method shows that the former approach offers greater accuracy and adequacy in representing the damage characteristics exhibited by large and complex components than the latter. the proposed method in this study to represent damage criteria for large complex components in the form of a vulnerability database has broad application prospects and provides new ideas for future research on damage criteria for components.

Original languageEnglish
Article number042026
JournalJournal of Physics: Conference Series
Volume2891
Issue number4
DOIs
Publication statusPublished - 2024
Event4th International Conference on Defence Technology, ICDT 2024 - Xi'an, China
Duration: 23 Sept 202426 Sept 2024

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Feng, B., & An, F. (2024). Novel damage criterion in database form based on component-level vulnerability assessment. Journal of Physics: Conference Series, 2891(4), Article 042026. https://doi.org/10.1088/1742-6596/2891/4/042026