摘要
为了弥补现有传感器在混凝土非连续变形监测上的不足,采用特殊构型法,以还原氧化石墨烯-纳米纤维素(RGO-CNF)为传感层、聚二甲基硅氧烷(PDMS)为基层,设计和制备了PDMS/RGO-CNF/PDMS层状感应元件,对其力学、电学和力敏性能进行测试和分析.结果表明,CNF能够有效地协助RGO在异丙醇中均匀分散,经化学溶胀和孔隙填充构建的传感层与基底层紧密结合,能够承受超过100%的拉伸应变.感应元件经过约10次循环拉伸后,应变电阻响应达到稳定状态,表现出良好的可回复性和可重复性.在0~10%应变下,感应元件的电阻变化率近似呈线性变化,灵敏系数可达15,随应变继续增大,电阻变化率呈指数型增长.应变电阻响应强度随应变速率的增大而提高,利用建立的考虑应变率效应的应变电阻响应模型,能够较好地预测感应元件的力敏行为.
A PDMS/RGO-CNF/PDMS layered sensor was designed and prepared with reduced graphene oxidecellulose nanofiber(RGO-CNF)as the sensing layer and polydimethylsiloxane(PDMS)as the substrate by using a special configuration method in order to make up for the shortcomings of existing sensors in monitoring discontinuous deformation of concrete.The mechanical,electrical properties and force sensitivity of the sensor were tested and analyzed.Results show that CNF can effectively assist RGO to uniformly disperse in isopropanol.The sensing layer constructed through chemical swelling and pore filling was tightly bonded to the substrate layer,and could withstand over 100%tensile strain.The strain resistance response of the sensor reaches a stable state after about 10 cycles of stretching,exhibiting good recoverability and repeatability.The resistance change rate of the sensor shows an approximate linear variation within the range of 0-10%strain,with a sensitivity coefficient of up to 15.The resistance change rate increases exponentially as the strain continues to increase.The strain resistance response strength increases with the increase of strain rate,and the established response model considering strain rate effect can better predict the force sensitive behavior of the sensor.
作者
吴志强
卫军
董荣珍
WU Zhiqiang;WEI Jun;DONG Rongzhen(College of Architecture and Civil Engineering,Xinyang Normal University,Xinyang 464000,China;School of Civil Engineering,Central South University,Changsha 410075,China)
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2024年第1期150-160,共11页
Journal of Zhejiang University：Engineering Science
基金
国家自然科学基金资助项目(51778628)
河南省科技攻关计划资助项目(222102210241)。
关键词
石墨烯
层状感应元件
力敏性
应变电阻响应模型
纳米纤维素
graphene
layered sensor
force sensitivity
strain resistance response model
cellulose nanofiber
