用于力学逻辑的折纸超材料的判别跃迁序列
Discriminative transition sequences of origami metamaterials for mechano-logic
摘要：
结构中的多稳性转变已经被开发用于各种功能和应用，例如谱隙调谐、碰撞能量捕获和波转向。然而，一个基本的和全面的理解的过渡，无论是准静态或动态的过渡，尚未收购，特别是在序列的可预测性和剪裁机制。这项研究，利用堆叠的Miura-ori-variant（SMOV）结构，具有特殊的多稳定性和形状可重构性作为一个平台，揭示了准静态和动态转换的深入知识，并开创了相应的通用形成和调整的机械逻辑门。通过理论，数值和实验手段，歧视性和确定性的准静态过渡序列，包括可逆和不可逆的，被发现，在那里他们构成一个过渡图，是可编辑的调整设计参数。通过施加动态激励和定制激励条件，可以实现所有稳定构型之间的可逆转换，从而生成完全连接的转换映射。利用准静态和动态转换的非线性特性，实现了基本和复合机械逻辑门。该方案的通用性通过采用单一的SMOV结构来实现不同的复杂逻辑运算而不增加结构复杂性来证明，显示出其优越的计算能力，并启发了高效物理智能的途径。
英文摘要：
Transitions of multistability in structures have been exploited for various functions and applications, such as spectral gap tuning, impact energy trapping, and wave steering. However, a fundamental and comprehensive understanding of the transitions, either quasi-static or dynamic transitions, has not yet been acquired, especially in terms of the sequence predictability and tailoring mechanisms. This research, utilizing the stacked Miura-ori-variant (SMOV) structure that has exceptional multistability and shape reconfigurability as a platform, uncovers the deep knowledge of quasi-static and dynamic transitions, and pioneers the corresponding versatile formation and tuning of mechanical logic gates. Through theoretical, numerical, and experimental means, discriminative and deterministic quasi-static transition sequences, including reversible and irreversible ones, are uncovered, where they constitute a transition map that is editable upon adjusting the design parameters. Via applying dynamic excitations and tailoring the excitation conditions, reversible transitions between all stable configurations become attainable, generating a fully-connected transition map. Benefiting from the nonlinearity of the quasi-static and dynamic transitions, basic and compound mechanical logic gates are achieved. The versatility of the scheme is demonstrated by employing a single SMOV structure to realize different complex logic operations without increasing structural complexity, showing its superior computing power and inspiring the avenue for efficient physical intelligence.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
