Page 195 - 《爆炸与冲击》2026年第5期
P. 195

第 46 卷     韩思豪,等: 机器学习驱动的折纸超材料夹芯结构低速冲击响应预测及多目标优化                                第 5 期

               [9]   CHEN C Q, HE Y L, XU R, et al. Dynamic behaviors of sandwich panels with 3D-printed gradient auxetic cores subjected to
                    blast load [J]. International Journal of Impact Engineering, 2024, 188: 104943. DOI: 10.1016/j.ijimpeng.2024.104943.
               [10]   JIANG Z F, RONG J L, CHEN Z C, et al. Deformation mechanisms and energy absorption characteristics of 3D-printed
                    negative Poisson's ratio sandwich structures subjected to underwater impulsive loading [J]. International Journal of Impact
                    Engineering, 2025, 203: 105355. DOI: 10.1016/j.ijimpeng.2025.105355.
               [11]   方虹斌, 吴海平, 刘作林, 等. 折纸结构和折纸超材料动力学研究进展 [J]. 力学学报, 2022, 54(1): 1–38. DOI:
                    10.6052/0459-1879-21-478.
                    FANG H B, WU H P, LIU Z L, et al. Advances in the dynamics of origami structures and origami metamaterials [J]. Chinese
                    Journal of Theoretical and Applied Mechanics, 2022, 54(1): 1–38. DOI: 10.6052/0459-1879-21-478.
               [12]   岳晓奎, 朱明珠, 耿浩华, 等. 折纸超材料及其在航空航天领域的应用与展望 [J]. 航空学报, 2025, 46(6): 531382. DOI:
                    10.7527/S1000-6893.2024.31382.
                    YUE X K, ZHU M Z, GENG H H, et al. Origami metamaterials and their applications and prospects in aerospace field [J].
                    Acta Aeronautica et Astronautica Sinica, 2025, 46(6): 531382. DOI: 10.7527/S1000-6893.2024.31382.
               [13]   HE Y L, ZHANG P W, YOU Z, et al. Programming mechanical metamaterials using origami tessellations [J]. Composites
                    Science and Technology, 2020, 189: 108015. DOI: 10.1016/j.compscitech.2020.108015.
               [14]   HE Y L, CHEN C Q, SUN J P, et al. Deformation and failure of 3D-Printed origami-inspired sandwich beam under blast
                    loading [J]. International Journal of Impact Engineering, 2025, 206: 105471. DOI: 10.1016/j.ijimpeng.2025.105471.
               [15]   何远鹏, 王凌峰, 杨秋松, 等. 多折角梯形台面折纸夹层结构的冲击防护性能 [J]. 爆炸与冲击, 2024, 44(4): 043103. DOI:
                    10.11883/bzycj-2023-0315.
                    HE Y P, WANG L F, YANG Q S, et al. Impact response of TPS folded sandwich structure [J]. Explosion and Shock Waves,
                    2024, 44(4): 043103. DOI: 10.11883/bzycj-2023-0315.
               [16]   ZHANG J J, LU G X, ZHANG Y, et al. A study on ballistic performance of origami sandwich panels [J]. International Journal
                    of Impact Engineering, 2021, 156: 103925. DOI: 10.1016/j.ijimpeng.2021.103925.
               [17]   QI J Q, LI C, TIE Y, et al. Energy absorption characteristics of origami-inspired honeycomb sandwich structures under low-
                    velocity impact loading [J]. Materials & Design, 2021, 207: 109837. DOI: 10.1016/j.matdes.2021.109837.
               [18]   代铁琳, 金刘超, 尚宸, 等. 超材料的智能设计研究进展 [J]. 计算机辅助设计与图形学学报, 2025, 37(1): 1–27. DOI:
                    10.3724/SP.J.1089.2024-00279.
                    DAI T L, JIN L C, SHANG C, et al. Advances in intelligent design of metamaterials [J]. Journal of Computer-Aided Design &
                    Computer Graphics, 2025, 37(1): 1–27. DOI: 10.3724/SP.J.1089.2024-00279.
               [19]   王清华, 徐丰, 郭伟国. 基于   ANN-GA  协同寻优的动态拉伸试样尺寸优化方法 [J]. 爆炸与冲击, 2022, 42(1): 014201.
                    DOI: 10.11883/bzycj-2021-0218.
                    WANG Q H, XU F, GUO W G. A method of geometry optimization for dynamic tensile specimen based on artificial neural
                    network and genetic algorithm [J]. Explosion and Shock Waves, 2022, 42(1): 014201. DOI: 10.11883/bzycj-2021-0218.
               [20]   XIAO L J, SHI G Q, SONG W D. Machine learning predictions on the compressive stress-strain response of lattice-based
                    metamaterials [J]. International Journal of Solids and Structures, 2024, 300: 112893. DOI: 10.1016/j.ijsolstr.2024.112893.
               [21]   SHEN X Y, HU Q R, ZHU D F, et al. Dynamic mechanical response prediction model of honeycomb structure based on
                    machine learning method and finite element method [J]. International Journal of Impact Engineering, 2024, 184: 104825. DOI:
                    10.1016/j.ijimpeng.2023.104825.
               [22]   ZHU Z H, KONG X S, ZHOU H, et al. A hybrid data-driven machine learning framework for predicting the impact resistance
                    of  composite  armor  [J].  International  Journal  of  Impact  Engineering,  2025,  195:  105125.  DOI:  10.1016/j.ijimpeng.2024.
                    105125.
               [23]   BROWN  N  K,  GARLAND  A  P,  FADEL  G  M,  et  al.  Deep  reinforcement  learning  for  the  rapid  on-demand  design  of
                    mechanical  metamaterials  with  targeted  nonlinear  deformation  responses  [J].  Engineering  Applications  of  Artificial
                    Intelligence, 2023, 126: 106998. DOI: 10.1016/j.engappai.2023.106998.
               [24]   ZHU  S  W,  CHEN  H,  YANG  X  Q,  et  al.  Rubik’s  cube  as  in-situ  programmable  matter  and  a  reconfigurable  mechanical
                    metamaterial [J]. Science China Technological Sciences, 2024, 67(10): 3221–3234. DOI: 10.1007/s11431-024-2681-1.


                                                         051441-17
   190   191   192   193   194   195   196   197   198   199   200