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复合材料可靠性分析方法及其研究现状

Reliability Analysis Methods and Research Status of Composite Materials

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【作者】 孟志新吴垚峰吴金明于越徐唯一张家辉

【Author】 MENG Zhixin;WU Yaofeng;WU Jinming;YU Yue;XU Weiyi;ZHANG Jiahui;School of Materials Engineering,Xi’an Aeronautical Institute;National Key Laboratory of Thermostructure Composite Materials,Northwestern Polytechnical University;College of Materials Science and Engineering,Xi’an University of Architecture and Technology;

【机构】 西安航空学院材料工程学院西北工业大学超高温结构复合材料重点实验室西安建筑科技大学材料科学与工程学院

【摘要】 复合材料因其优异性能在航空航天、汽车、船舶及能源化工等领域得到广泛应用,其可靠性分析尤为重要。然而,复杂的结构与多样的失效模式为分析带来挑战。为此,科学界积极探索适用的可靠性分析方法,以提升工程应用中的安全性与稳定性。综述了复合材料可靠性分析的方法及其研究现状。首先,探讨了复合材料可靠性分析的实验方法,包括拉伸、压缩和弯曲等实验手段,获取其力学特性和失效行为的关键信息。然后,分析了基于多尺度建模和多物理场耦合的仿真技术以及统计分析方法(如正态分布、Weibull分布和贝叶斯分析)来预测复合材料的可靠性。通过综合分析这些方法和技术的发展,展望了其未来的发展方向,旨在为相关领域的研究者提供一定的参考。

【Abstract】 Because of their excellent performance, composite materials are widely used in the fields of aerospace, automobile, ship and energy chemical industry, and its reliability analysis is particularly important. However, complex structures and diverse failure modes pose challenges for analysis. To this end, the scientific community actively explores suitable reliability analysis methods to improve safety and stability in engineering applications. In this paper, the reliability analysis methods and research status of composite materials were systematically reviewed. Firstly, the experimental methods for reliability analysis of composite materials, including tensile, compression and bending, were discussed to obtain the key information of mechanical properties and failure behavior. Then, simulation techniques based on multi-scale modeling and multi-physics coupling, as well as statistical analysis methods such as normal distribution, Weibull distribution and Bayesian analysis, were analyzed to predict the reliability of the composite materials. Through comprehensive analysis of the development of these methods and technologies, the future development direction was prospected, aiming at providing some reference for researchers in related fields.

【基金】 陕西省教育厅青年创新团队科研计划项目(项目编号:23JP072);陕西省教育厅专项科研计划项目(项目编号:23JK0497);陕西省创新人才推进计划青年科技新星项目(项目编号:2022KJXX-45);陕西省自然科学基础研究计划项目(项目编号:2021JQ-853);大学生创新创业训练计划项目(项目编号:202211736004、S202211736078)
  • 【文献出处】 当代化工 ,Contemporary Chemical Industry , 编辑部邮箱 ,2025年11期
  • 【分类号】TB33
  • 【下载频次】109
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