亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Experimental and numerical investigation of the bonding conditions of piezoelectric sensors under high compressive strains on structures

压电 材料科学 复合材料 抗压强度 压电传感器 压缩传感 结构工程 工程类 计算机科学 算法
作者
Prateek Negi,Naveet Kaur,Pardeep Kumar
出处
期刊:Journal of Intelligent Material Systems and Structures [SAGE Publishing]
卷期号:35 (5): 587-604 被引量:2
标识
DOI:10.1177/1045389x231221128
摘要

In the past two decades, thin lead zirconate titanate (PZT) sensors have been widely used in the electro-mechanical impedance (EMI) technique for sensing applications, particularly for monitoring civil structures. They are typically surface bonded using an industrial adhesive to the monitored structure. The bond between a PZT sensor and structure must be sufficiently strong to transmit the response of the structure to the sensor. In this study, acrylic cubes bonded with PZT patches are subjected to high compressive strains above 2000 με to develop a better understanding of bonding conditions when structures undergo such high strains. Acrylic can undergo such high strains without developing fissures or cracks. Thus, the recorded EMI response only reflects changes in the bonding condition due to the development of strains. The experiments are also numerically supplemented by simulating various debonding conditions. At higher strains, it was observed that the admittance signatures tend to behave similarly to a freely vibrating PZT patch, indicating debonding around the periphery. Even after the complete unloading of the structure, the signatures did not return to their initial state, indicating a permanent partial debonding. The strains developed on a loaded structure are not uniform and can be localized due to structural imperfections, resulting in higher strains in the region where a sensor is bonded. The insights from this study will aid in expanding the scope of the application of PZT sensors for monitoring civil structures through better comprehension of the PZT-structure bond under high compressive strains.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
cen发布了新的文献求助10
4秒前
呆萌尔风完成签到,获得积分10
6秒前
华仔应助cen采纳,获得10
15秒前
Andrew完成签到,获得积分10
19秒前
独特的不尤完成签到,获得积分10
37秒前
开朗含海完成签到,获得积分10
40秒前
41秒前
sword完成签到 ,获得积分10
44秒前
47秒前
何同学完成签到,获得积分10
48秒前
48秒前
Sunvo完成签到,获得积分10
51秒前
卜卜脆完成签到 ,获得积分10
54秒前
cen发布了新的文献求助10
54秒前
hh完成签到 ,获得积分10
55秒前
Lucas应助Zzzzzzz采纳,获得10
1分钟前
星辰大海应助cen采纳,获得30
1分钟前
超帅蛋挞完成签到 ,获得积分10
1分钟前
科研通AI2S应助YJ采纳,获得10
1分钟前
悲凉的丝完成签到,获得积分10
1分钟前
1分钟前
1分钟前
wl完成签到 ,获得积分10
1分钟前
CyberHamster完成签到,获得积分10
1分钟前
狂野冰蓝完成签到,获得积分10
1分钟前
炜大的我应助科研通管家采纳,获得10
1分钟前
英姑应助浪迹采纳,获得10
2分钟前
60岁刚当博导完成签到,获得积分10
2分钟前
2分钟前
cen发布了新的文献求助30
2分钟前
2分钟前
小二郎应助清风采纳,获得10
2分钟前
完美飞凤完成签到,获得积分10
2分钟前
浪迹发布了新的文献求助10
2分钟前
2分钟前
猕猴桃猴完成签到,获得积分10
2分钟前
呆萌的冷玉完成签到,获得积分10
2分钟前
yoooooooo完成签到,获得积分10
3分钟前
俏皮冰露完成签到,获得积分10
3分钟前
Ava应助1233445采纳,获得10
3分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Management and the Arts 310
Teaching Social and Emotional Learning in Physical Education 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7633625
求助须知:如何正确求助?哪些是违规求助? 9207769
关于积分的说明 19748078
捐赠科研通 7202234
什么是DOI,文献DOI怎么找? 3274964
关于科研通互助平台的介绍 2436900
邀请新用户注册赠送积分活动 2271818