Application of Digital Image Correlation to composite reinforcements testing

数字图像相关 复合数 结构工程 拉伸试验 材料科学 极限抗拉强度 传感器 计算机科学 数字图像 软件 复合材料 复合材料层合板 工程类 图像处理 图像(数学) 人工智能 电气工程 程序设计语言
作者
Marcin Tekieli,Stefano De Santis,Gianmarco de Felice,Arkadiusz Kwiecień,Francesca Roscini
出处
期刊:Composite Structures [Elsevier BV]
卷期号:160: 670-688 被引量:188
标识
DOI:10.1016/j.compstruct.2016.10.096
摘要

Digital Image Correlation (DIC) is a full-field contactless optical method for measuring displacements in experimental testing, based on the correlation of the digital images taken during test execution. It is used in several fields of experimental solid mechanics, but its potential application to the characterization of composite reinforcements has not been fully investigated yet. In this paper DIC is used in tensile and bond tests on composite reinforcements comprising different textiles and matrices. Results obtained by two DIC software programs are validated by comparison with displacement and strain transducers. DIC provides additional information on damage pattern (crack location and width) and composite-to-substrate load transfer mechanism (effective bond length and local stress concentrations). It also offers the advantageous possibility of selecting several measurement points after the test, overcoming some drawbacks of traditional transducers. On the other hand, since only on the outer surface of the specimen is monitored, no information is directly available on the textile embedded in the matrix. The combination of DIC and traditional sensors in laboratory testing allows improving the understanding of the mechanical behaviour of composite reinforcements and the identification of their fundamental properties.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
1秒前
刘老哥6完成签到,获得积分10
1秒前
哈哈哈发布了新的文献求助10
1秒前
自觉醉香完成签到 ,获得积分10
1秒前
乐观依云完成签到,获得积分10
1秒前
zho发布了新的文献求助10
2秒前
2秒前
巴山夜雨完成签到,获得积分10
3秒前
上进完成签到,获得积分10
3秒前
整齐的幻柏完成签到,获得积分20
3秒前
失眠的雅琴完成签到,获得积分10
3秒前
Stella发布了新的文献求助10
3秒前
溜铭钛完成签到,获得积分10
3秒前
慕青应助快乐的紫寒采纳,获得10
4秒前
4秒前
科研牛马人完成签到,获得积分10
5秒前
小仙女发布了新的文献求助10
5秒前
5秒前
趙途嘵生发布了新的文献求助10
6秒前
POWER完成签到,获得积分10
6秒前
巴山夜雨发布了新的文献求助10
6秒前
pylchm完成签到,获得积分10
6秒前
Orange应助啦啦啦啦啦采纳,获得10
6秒前
7秒前
细心的若风完成签到,获得积分10
8秒前
Vincent完成签到,获得积分10
9秒前
夕照古风完成签到,获得积分10
9秒前
bkagyin应助Dr.lee采纳,获得10
9秒前
FashionBoy应助夏夏采纳,获得10
9秒前
10秒前
chenjian完成签到 ,获得积分10
11秒前
情怀应助奔跑的蜗牛采纳,获得10
11秒前
11秒前
酸葡萄完成签到,获得积分10
11秒前
hu完成签到 ,获得积分10
12秒前
徐志豪完成签到,获得积分10
12秒前
11号迪西馅饼完成签到,获得积分10
13秒前
大马猴完成签到,获得积分10
17秒前
yxy999完成签到,获得积分10
17秒前
高分求助中
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
Christian Women in Chinese Society: The Anglican Story 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3960556
求助须知:如何正确求助?哪些是违规求助? 3506870
关于积分的说明 11132558
捐赠科研通 3239151
什么是DOI,文献DOI怎么找? 1790050
邀请新用户注册赠送积分活动 872129
科研通“疑难数据库(出版商)”最低求助积分说明 803128