文献检索

查找使用阿拉丁产品的科研文献

检索与阿拉丁产品相关的同行评审论文、DOI、PubMed 编号、期刊、作者、CAS 号及研究领域。

科研影响力快照

与阿拉丁产品相关的已发表科研成果

在搜索之前,这些指标可帮助访客快速了解产品关联科研的规模与质量。

346,364+ SCI 论文 与阿拉丁产品引用相关
2,295,288.15 总影响因子 匹配文献记录中影响因子的总和
81.20 最高期刊影响因子 匹配期刊中的最高 IF
6.63 平均期刊影响因子 匹配文献的平均 IF

参考指标 指标基于阿拉丁文献引用数据库及期刊影响因子记录。文献关联仅供科研参考,请以原始文献为准。

热门产品

视图 列表 网格

1 项目

设置提升方向
PDMS薄膜基底
SENSORS AND ACTUATORS A-PHYSICAL · 2024 · IF 4.1

Damage detection of FRP structures using the electrical resistance response of MWCNTs networks in a PDMS film substrate

Ziju Wang,Lulu Yang,Shuzheng Zhang,Wenlong Hu,Chaojie Hu,Bin Yang

s To overcome the disadvantages such as local stiffness/strength reduction caused by the embedded sensors in composites structures used for structural health monitoring , we designed a surface pasting film sensor (SPFS) to locate the impact damage in glass-fiber reinforced polymer (GFRP) panels and composite overwrapped pressure vessel (COPV). The SPFS was made by printing MWCNTs/PDMS ink onto a PDMS film substrate. The relative resistance response (Δ R / R 0 ) of the sensing networks was recorded during loading. Sensing performance of SPFSs was evaluated by monitoring damages in GFRP panels with three different thicknesses and assessing three typical positions within a COPV. The experimental results demonstrated that variations in the load magnitude and position can be estimated by Δ R / R 0 shift of the SPFS. The newly designed SPFS shows superior accuracy in in-situ detecting damages in FRP structures. The maximum root mean square error for damage localization is 4.45% in GFRP panels and 4.27% in COPV. The presented concept provides a novel approach for early detection of damages in FRP structures, offering advanced warning without disrupting their inherent integrity.

CAS / MDL: 109-99-9
研究领域: 材料科学 · 结构健康监测
✓ 已验证 产品关联 DOI 高影响因子
查看原文 查看 PubMed
已复制

文献关联基于可获得的产品、CAS、DOI 及引用记录。收录不代表作者或出版方对阿拉丁产品的背书,请以原始文献为准。