In this paper, a new multi‐cell lattice honeycomb paperboard was designed based on the expansion manufacturing process, aiming to improve the load‐bearing capacity and energy absorption of the honeycomb paperboard. Quasi‐static axial crush experiments were conducted on multi‐cell lattice honeycomb paperboard (MHC) and standard honeycomb paperboard (HC), and the out‐of‐plane crushing response and energy absorption of MHC and HC are compared. The deformation mode of MHC is discussed in detail. A typical folding element is selected, and a theoretical model is developed to predict the plateau stress of the MHC. The results show that under the same structural and cell length dimensions, the peak stress of MHC is 3.3 times higher than that of HC, the plateau stress and energy absorption are 3.9 times higher than that of HC. Under the same relative density conditions, the peak stress of MHC is enhanced by 10% over HC, and the plateau stress and energy absorption are enhanced by 30% and 29%, respectively. The predicted plateau stress from the theoretical model compares well with the experimental values. The great potential for industrial applications of multi‐cell lattice honeycomb paperboard based on an expansion manufacturing process is demonstrated, with minimal modifications to the manufacturing process but with a significant increase in load‐bearing capacity and energy absorption. These results could be used as a reference for the design and improvement of honeycomb structures and other similar structures.

目的 通过分析随机误差在基于试验频响函数(FRFs)的逆子结构分析方法中的传递,得出随机误差对预测结果的影响规律,为基于逆子结构方法分析复杂结构的动态特性提供参考价值.方法 对获得的系统频响函数施加不同程度(1％,5％,10％)的随机误差,对比分析各个耦合系统频响函数对预测子结构频响函数的影响.结果 对耦合系统频响函数施加随机误差后,采用逆子结构方法对耦合系统解耦后预测的子结构频响函数严重偏离真实值,尤其是共振频率附近,所施加的随机误差在预测子结构频响函数中甚至被放大了数十倍,导致预测结果不可靠;且耦合系统耦合点处的频响函数对预测结果的影响最大.结论 通过分析明确了系统频响函数所携带的随机误差对预测结果的影响规律,且这些误差将随着矩阵的求逆运算被放大,且交叉耦合系统频响函数对预测结果的影响最为显著.

目的 探究以凹六边形为芯层的蜂窝纸板的力学性能,为凹六边形蜂窝纸箱的运输包装设计提供理论基础.方法 运用有限元仿真,分析不同结构参数影响下的凹六边形蜂窝纸板的面内承载性能.结果 当水平胞壁的长度减小,其他结构参数保持不变,凹六边形蜂窝纸板面内方向上的平台应力增大,能量吸收平台阶段标准化应力增大,最佳吸能点也上升.结论 凹六边形蜂窝纸板结构参数的变化对其平台应力和能量吸收特性有深远影响,其性能研究促进了蜂窝纸箱的进一步发展.

目的 提出一种基于奇异值分解(SVD)技术和Hanke矩阵的多重门限奇异值分解方法(MTSVD),对测量源数据进行降噪,使其更接近理论值,减少试验误差对后续计算结果的影响.方法 对获得的系统频响函数(FRFs)施加10％的随机误差,之后利用文中提出的MTSVD方法进行降噪处理,并与未经过去噪处理的预测结果以及经奇异值累积法获得的降噪结果进行对比.结果 利用MTSVD方法对试验获取的耦合系统频响函数进行处理后,得到的修正值更接近理论值,并且该方法的降噪效果优于现有的奇异值累积法.结论 验证结果表明文中提出的MTSVD方法能有效降噪,减少试验测量源数据携带的误差,使其更接近理论值,因此该方法在运输包装领域具有良好的可行性和应用前景.