渲染(计算机图形)
灵敏度(控制系统)
应变计
无穷小
有限元法
拉伤
材料科学
结构工程
计算机科学
声学
电子工程
复合材料
工程类
人工智能
物理
数学
生物
数学分析
解剖
作者
J. Y. Lee,Yoon-Nam Kim,J. Lee,Jooik Jeon,Jae‐Young Bae,Ju‐Yong Lee,Kyung‐Sub Kim,Minseong Chae,Hyunjun Park,Jong-hyoung Kim,Kang-Sik Lee,Jeonghyun Kim,Jung Keun Hyun,Daeshik Kang,Seung‐Kyun Kang
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2024-12-20
卷期号:10 (51)
被引量:4
标识
DOI:10.1126/sciadv.ads9258
摘要
Real-time monitoring of infinitesimal deformations on complex morphologies is essential for precision biomechanical engineering. While flexible strain sensors facilitate real-time monitoring with shape-adaptive properties, their sensitivity is generally lower than spectroscopic imaging methods. Crack-based strain sensors achieve enhanced sensitivity with gauge factors (GFs) exceeding 30,000; however, such GFs are only attainable at large strains exceeding several percent and decline below 10 for strains under 10 −3 , rendering them inadequate for minute deformations. Here, we introduce hypersensitive and flexible “meta-crack” sensors detecting infinitesimal strains through previously undiscovered crack-opening mechanisms. These sensors achieve remarkable GFs surpassing 1000 at strains of 10 −4 on substrates with a Poisson’s ratio of −0.9. The crack orientation–independent gap-widening behavior elucidates the origin of hypersensitivity, corroborated by simplified models and finite element analysis. Additionally, parallel mechanical circuits of meta-cracks effectively address the trade-off between resolution and maximum sensing threshold. In vivo real-time monitoring of cerebrovascular dynamics with a strain resolution of 10 −5 underscores the hypersensitivity and conformal adaptability of sensors.
科研通智能强力驱动
Strongly Powered by AbleSci AI