王言磊

个人信息Personal Information

教授

博士生导师

硕士生导师

主要任职:Professor

性别:男

毕业院校:哈尔滨工业大学

学位:博士

所在单位:土木工程系

学科:结构工程

办公地点:辽宁省大连市高新区凌工路2号大连理工大学土木工程学院4号楼311室  116024

联系方式:Tel: 0411-84706493; Mob: 139420502六六; QQ: 12557297

电子邮箱:wangyanlei@dlut.edu.cn

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Strain and damage self-sensing properties of carbon nanofibers/carbon fiber-reinforced polymer laminates

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论文类型:期刊论文

发表时间:2017-02-01

发表刊物:ADVANCES IN MECHANICAL ENGINEERING

收录刊物:SCIE、Scopus

卷号:9

期号:2

ISSN号:1687-8140

关键字:Carbon nanofibers; carbon fiber-reinforced polymer laminates; resistance; self-sensing; strain; damage

摘要:Unidirectional fiber-reinforced composites of "plain'' carbon fiber-reinforced polymer laminates and carbon nanofibers modified carbon fiber-reinforced polymer laminates were prepared based on the manufacture of the epoxy resin modified with various contents of carbon nanofibers. The carbon nanofibers-modified epoxy matrix and carbon fiberreinforced polymer laminates specimens were subject to constant amplitude cyclic tensile loading, quasi-static tension loading, and incremental cyclic tension loading while the values of their electrical resistance were monitored through electrical resistance technique. Resistance-change curves of carbon nanofibers/carbon fiber-reinforced polymer laminates indicated the changes in conductive percolation networks formed by carbon fibers or carbon nanofibers. These changes can identify the complex damage modes and the loss of mechanical integrity in laminates. The changes in resistance of specimens showed a nearly linear correlation with the strain, so the damage process of the carbon fiberreinforced polymer laminates can be self-sensed according to the resistance-change curves. In addition, uniformly dispersed carbon nanofibers formed a network that spans the whole insulation area, which improved their self-sensing property of strain sensitivity without compromising the mechanical properties of the carbon fiber-reinforced polymer laminates. This technology can achieve the quantitative strain and damage self-sensing properties of nano-reinforced composites without any additional sensor, and it is bound to be a promising method for in situ health monitoring.