复合材料螺栓连接参数对承载强度的影响及优化

doi:10.19936/j.cnki.2096-8000.20251128.003

复合材料科学与工程 ›› 2025, Vol. 0 ›› Issue (11): 20-29.DOI: 10.19936/j.cnki.2096-8000.20251128.003

复合材料螺栓连接参数对承载强度的影响及优化

孙昕阳¹, 武涛^1,2*, 朱兆轩¹, 黄严¹

1.中国民航大学交通科学与工程学院,天津 300300;
2.沈阳航空航天大学航空制造工艺数字化国防重点学科实验室,沈阳 110136

收稿日期:2024-10-08 出版日期:2025-11-28 发布日期:2025-12-24
通讯作者: 武涛(1989—),男,博士,讲师,主要从事先进装配与连接和航空维修工程分析方面的研究,twu_cauc@163.com。
作者简介:孙昕阳(2001—),男,硕士研究生,主要研究方向为复合材料连接技术。
基金资助:
沈阳航空航天大学航空制造工艺数字化国防重点学科实验室开放基金资助项目(SHSYS202410);国家自然科学基金(U2033209)

Influence and optimization of process parameters on bearing strength of composite bolted connection structure

SUN Xinyang¹, WU Tao^1,2*, ZHU Zhaoxuan¹, HUANG Yan¹

1. School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China;
2. Laboratory of National Defense Key Discipline of Digitalization of Aviation Manufacturing Technology, Shenyang Aerospace University, Shenyang 110136, China

Received:2024-10-08 Online:2025-11-28 Published:2025-12-24

摘要/Abstract

摘要： 为分析复合材料连接件的参数影响规律,优化常规参数间的配比,提升结构经济性与实用性,针对板厚、端径比和预紧力三个制造装配阶段的显著连接参数开展拉伸强度影响研究。结合UMAT子程序建立了CFRP螺栓连接件有限元模型,开展了静力拉伸破坏及SEM损伤观测试验验证有限元模型;在此基础上,基于Box-Behnken设计,结合响应回归方程、3D响应面以及等高线图建立承载强度与影响因素联合响应模型,从单因素、多因素交互作用等方面对三个参数进行了分析,所建立的联合响应模型决定系数R²为0.984 7,Adj R²为0.957 1,Pred R²为0.794 4,模型拟合效果和预测能力较好;分析结果表明,三个参数中,板厚是影响承载强度的最显著单因素,而板厚与端径比的交互作用影响最为显著,模型给出了板厚、端径比和预紧力的优化组合,预测强度与有限元结果误差为0.37%,表明所建立联合响应模型有较好的强度预测能力。

关键词: 复合材料, 螺栓连接, 响应面法, 交互作用, 优化组合

Abstract: In order to analyze the influence of the parameters of composite connectors, optimize the ratio between conventional parameters, and improve the structural economy and practicability, the influence of tensile str-ength on the significant connection parameters in the three manufacturing and assembly stages of plate thickness, end-diameter ratio and preload was studied. Combined with the UMAT subroutine, the finite element model of CFRP bolted joints was established, and the static tensile failure and SEM damage observation tests were carried out to verify the finite element model. On this basis, based on the Box-Behnken design, combined with the response regression equation, 3D response surface and contour map, the joint response model of bearing strength and influencing factors was established, and the three parameters were analyzed from the aspects of single factor and multi-factor interaction, and the determined coefficient R² of the joint response model was 0.984 7, Adj R² is 0.957 1, Pred R² value is 0.794 4, the model fitting effect and prediction ability are better; the analysis results show that plate thickness is the most significant single factor affecting the bearing strength among the three parameters, and the interaction between plate thickness and end-diameter ratio has the most significant effect, and the model gives an optimization of plate thickness, end-diameter ratio and preload, and the error between the predicted strength and the finite element result is 0.37%, indicating that the established joint response model has a good strength prediction ability.

Key words: composites, bolted connections, response surface method, interactions, optimization

中图分类号:

TB332

孙昕阳, 武涛, 朱兆轩, 黄严. 复合材料螺栓连接参数对承载强度的影响及优化[J]. 复合材料科学与工程, 2025, 0(11): 20-29.

SUN Xinyang, WU Tao, ZHU Zhaoxuan, HUANG Yan. Influence and optimization of process parameters on bearing strength of composite bolted connection structure[J]. COMPOSITES SCIENCE AND ENGINEERING, 2025, 0(11): 20-29.

参考文献

[1] LIU K Q, LIU Y, SABBROJJAMAN M, et al. Effect of bolt size on the bearing strength of bolt-connected orthotropic CFRP laminate[J]. Polymer Testing, 2023, 118: 107894.
[2] MOHEE F M, Al-MAYAH A, PLUMTREE A. Friction characteristics of CFRP plates in contact with copper plates under high contact pressure[J]. Journal of Composites for Construction, 2016, 20(5): 04016022.
[3] AFFI J, OKAZAKI H, YAMADA M, et al. Fabrication of aluminum coating onto CFRP substrate by cold spray[J]. Materials Transactions, 2011, 52(9): 1759-1763.
[4] ZUO Y J, YUE T, JIANG R S, et al. Bolt insertion damage and mechanical behaviors investigation of CFRP/CFRP interference fit bolted joints[J]. Chinese Journal of Aeronautics, 2022, 35(9): 354-365.
[5] QIN X D, CAO X F, LI H, et al. Effects of countersunk hole geometry errors on the fatigue performance of CFRP bolted joints[J]. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2022, 236(4): 337-347.
[6] ZOU F, DANG J Q, CHEN T, et al. Evaluation of typical hole-making strategies on mechanical behavior of CFRP/Ti single-lap bolted joints[J]. Composite Structures, 2023, 305: 116511.
[7] QI Z C, LIANG G Y, DAI Y Z, et al. The effects of countersink depth on fatigue performance of CFRP joint[J]. The International Journal of Advanced Manufacturing Technology, 2023, 128(9/10): 4397-4412.
[8] ZHANG H Y, ZHANG L, XU C, et al. Global sensitivity analysis of mechanical properties in hybrid single lap aluminum-CFRP (plain woven) joints based on uncertainty quantification[J]. Composite Structures, 2022, 280: 114841.
[9] SHAN M J, LIU F R, YAND W, et al. Uncertainty evaluation for bearing fatigue property of CFRP double-lap, single-bolt joints[J]. Chinese Journal of Aeronautics, 2022, 35(3): 250-258.
[10] LI L Z, PICHLER N, CHATZI E, et al. Estimation of the mechanical behavior of CFRP-to-steel bonded joints with quantification of uncertainty[J]. Engineering Structures, 2022, 266: 114573.
[11] ZHANG H Y, ZHANG L, SONG Z Z, et al. Hierarchical uncertainty quantification of hybrid (riveted/bonded) single lap aluminum-CFRP joints with structural multiscale characteristic[J]. Composite Structures, 2023, 324: 117561.
[12] YU Q Q, GU X L, ZHAO X L, et al. Characterization of model uncertainty of adhesively bonded CFRP-to-steel joints[J]. Composite Structures, 2019, 215: 150-165.
[13] MANDAL B, CHAKRABORTY S, CHAKRABARTI A. A hybrid approach for global sensitivity analysis of FRP composite multi-bolt joints[J]. Composite Structures, 2019, 208: 189-199.
[14] LI X, GONG Y, JIANG L F, et al. A parametric study on the failure strength of multi-bolt composite repairs with different configurations[J]. Theoretical and Applied Fracture Mechanics, 2022, 121: 103459.
[15] FANG S E, PERERA R. Damage identification using response surface methodology[J]. Key Engineering Materials, 2009, 413: 669-676.
[16] KHOO L P, CHEN C H. Integration of response surface methodology with genetic algorithms[J]. The International Journal of Advanced Manufacturing Technology, 2001, 18: 483-489.
[17] BASHIRI M, SAMAEI F. Heuristic and metaheuristic structure of response surface methodology in process optimization[C]//2011 IEEE International Conference on Industrial Engineering and Engineering Management. Singapore: IEEE, 2011: 1495-1499.
[18] 王永菲, 王成国. 响应面法的理论与应用[J]. 中央民族大学学报(自然科学版), 2005(3): 236-240.
[19] 李莉, 张赛, 何强, 等. 响应面法在试验设计与优化中的应用[J]. 实验室研究与探索, 2015, 34(8): 41-45.
[20] 郭勤涛, 张令弥, 费庆国. 用于确定性计算仿真的响应面法及其试验设计研究[J]. 航空学报, 2006(1): 55-61.
[21] 符平坡, 丁华, 曾祥瑞, 等. 碳纤维复合材料-铝合金自冲铆接头成形规律及力学性能[J]. 复合材料学报, 2023, 40(8): 4517-4530.
[22] 贾宝惠, 任鹏, 宋挺, 等. 湿热环境下端径比对复合材料螺栓连接结构静力拉伸失效的影响[J]. 材料导报, 2024, 38(5): 246-252.
[23] 黎海银, 郑国彦, 王乐乐, 等. 预紧力对复合材料胶螺混合连接结构拉伸性能研究[J]. 复合材料科学与工程, 2023(7): 72-78.
[24] 钟茂平, 毛春见, 张霞. 配合精度对复合材料单钉双剪螺栓连接静强度的影响[J]. 材料科学与工程学报, 2021, 39(5): 750-756, 807.
[25] 余芬, 刘国峰, 何振鹏, 等. 碳纤维增强复合材料沉头螺栓搭接结构强度及渐进损伤分析[J]. 复合材料科学与工程, 2021(11): 12-20.
[26] YE H W, WU C J, LIU D J, et al. Friction and wear behavior of CFRP plate in contact with roughened mould steel under high normal pressure[J]. Construction and Building Materials, 2019, 220: 308-319.
[27] 秦怡歆, 曾凯, 邢保英, 等. 颗粒增强粘接层结构参数对连接强度的影响及工艺优化[J]. 材料导报, 2024, 38(6): 228-232.
[28] 田铖. 基于响应面法的结构优化设计研究[D]. 上海: 上海海洋大学, 2016.

复合材料螺栓连接参数对承载强度的影响及优化

Influence and optimization of process parameters on bearing strength of composite bolted connection structure

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	卓晴, 王诗仪, 赵伟, 李明普, 王煜祺, 李媛媛, 李英儒. 基于Pickering乳液法的石墨烯/PCM复合材料的制备与性能[J]. 复合材料科学与工程, 2025, 0(9): 1-7.
[2]	邓裕, 涂昊昀. 基于DIC的短切纤维增韧碳纤维复合材料Ⅰ型层间性能研究[J]. 复合材料科学与工程, 2025, 0(9): 8-15.
[3]	张龙, 张伟, 范钧滔, 廖文林. 随机分布载荷作用下双向功能梯度材料悬臂梁的半解析模拟方法[J]. 复合材料科学与工程, 2025, 0(9): 16-26.
[4]	慕文龙, 陈良玉, 黎世杰, 张世坤, 蒋军委. 铺层顺序对亚麻/玄武岩纤维混杂增强复合材料低速冲击性能的影响[J]. 复合材料科学与工程, 2025, 0(9): 27-34.
[5]	李科辉, 张月尧, 宋龙杰, 杨莉玲, 陈丁丁, 邢素丽, 尹昌平, 唐俊. 纳米碳酸钙改性前端聚合双环戊二烯树脂性能研究[J]. 复合材料科学与工程, 2025, 0(9): 35-41.
[6]	黄顺枫, 刘文博, 王培培, 杨帆, 王荣国, 胡可军. 基于热-流-固多场耦合的厚截面复合材料凝胶前后固化均匀性优化[J]. 复合材料科学与工程, 2025, 0(9): 47-54.
[7]	郭敬, 焦亚男, 周庆, 万喜莉, 陈利. 蜂窝状三维机织复合材料的制备及压缩失效行为研究[J]. 复合材料科学与工程, 2025, 0(9): 55-64.
[8]	王岩, 黄永勇, 李毅超. L形复合材料长梁件的倒圆角对其固化变形特性影响规律研究[J]. 复合材料科学与工程, 2025, 0(9): 65-74.
[9]	姜鹏飞, 李磊, 张一帆. 纬纱层向偏转角对2.5D机织复合材料经向拉伸力学行为的影响[J]. 复合材料科学与工程, 2025, 0(9): 75-83.
[10]	方思明, 庄雷, 周晓亮, 孔魁, 徐利强, 张定好, 李亚龙. 有限差分法在大型风电叶片静力测试中的应用与研究[J]. 复合材料科学与工程, 2025, 0(9): 93-97.
[11]	广禹波, 任明伟, 邱睿, 曹清林, 王勇, 王馨钰. 乘用车复合材料后排座椅背板设计与分析[J]. 复合材料科学与工程, 2025, 0(9): 110-116.
[12]	孙卓伟, 袁国青. 复合材料无缝衬套挤压强化仿真及其疲劳寿命预测研究[J]. 复合材料科学与工程, 2025, 0(9): 125-134.
[13]	吴迪, 刘驻, 毕团利, 程路超, 刘震宇, 章继峰. 碳纤维增强复合材料反射镜制备与应用研究进展[J]. 复合材料科学与工程, 2025, 0(9): 135-146.
[14]	李壮壮, 刘新浩, 牟秀娟, 王其坤. 高超音速飞行器用新型树脂基烧蚀防热材料研究进展[J]. 复合材料科学与工程, 2025, 0(9): 147-156.
[15]	武顺心, 朱水文. 基于渐近均匀化法的黏弹性复合材料时域本构模型研究[J]. 复合材料科学与工程, 2025, 0(8): 8-14.