ArticleResearch (Washington, D.C.)2025
Design and Visualization of a Hierarchical Metamaterial with Tunable Stiffness.
Article in Research (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Tailoring Energy Absorption of Curved-Beam Lattices Through a Data-Driven Approach.Materials (Basel, Switzerland) · 2025Article
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Authors and funding
6 authors.
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Abstract
Metamaterials with stiffness tunability have demonstrated great potential in mechanical systems that operate in variable environments. However, most existing stiffness-tunable metamaterials exhibit high-dimensional and nonlinear structure-property relationships, which hinder precise on-demand tuning and real-time stiffness visualization. Here, we present a reconfigurable hierarchical metamaterial that integrates stiffness tunability, linear structure-property relationship, and real-time self-sensing stiffness visualization into a unified platform. Kinematic analysis shows that the hierarchical metamaterial can be reconfigured through kinematic bifurcations into various single- and multi-level configurations with different numbers of active hinges, and maintain a single degree of freedom in each deformation path. Subsequently, a linear relationship between the number of active hinges and the stiffness of the metamaterial is established through theoretical modelling and verified by experiments, allowing a wide range of tunable stiffness. Furthermore, mechanical logic circuits are embedded into the metamaterial to map transitions between units at different levels to electrical outputs, achieving real-time stiffness visualization via light-emitting diode (LED) states without external sensors. This proposed metamaterial, and more generally, the structure-property-information integration design framework, will greatly advance the development of intelligent adaptive systems.
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Registered trials
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