Reliability of Digital Image Correlation Techniques for Cementitious Composite Fracture Characterization

Haruna Ibrahim, George Wardeh, Hanaa Fares
{"title":"Reliability of Digital Image Correlation Techniques for Cementitious Composite Fracture Characterization","authors":"Haruna Ibrahim, George Wardeh, Hanaa Fares","doi":"10.24271/psr.2024.188477","DOIUrl":null,"url":null,"abstract":"Conventional devices used for measuring strain, like strain gauges and LVDTs, typically used as single-point sensors, require enhanced precision of gathered data, encompassing accuracy and consistency. However, these instruments are incapable of generating strain maps. Furthermore, it requires more time and precision during the set-up test. However, this study assesses the reliability of digital image correlation (DIC) methods as a non-destructive and helpful tool for monitoring the development of cracks in cementitious composites by comparing the DIC test and the mechanical test (Machine test) results. In the objective study, three types of mortars were prepared: Normal Strength Mortar (NSM), High Strength Mortar (HSM), and High Strength Mortar with Fly Ash (HSMFA). Steel 13 mm in length and synthetic fibres 19mm and 54 mm in length (short and long) were mixed into the composites in varied volume ratios, ranging from 0% to 1. Pre-notched 40x40x160 mm prismatic specimens were tested in three-point bending while being simultaneously filmed to track the crack's growth. The results showed that the post-cracking behaviour switches from softening to hardening for some types of mortar and certain fibre dosages. To evaluate the reliability of DIC for the characterisation of fracture properties, the vertical displacements for all specimens were analysed using GOM correlate software and compared with machine test data. The use of the DIC approach for the measurement of crack opening and the interpretation of the results in terms of Force-crack mouth opening displacement (CMOD) were made possible by the good agreement between the results regarding vertical deflection for all the employed mortars.","PeriodicalId":508608,"journal":{"name":"Passer Journal of Basic and Applied Sciences","volume":"19 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Passer Journal of Basic and Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24271/psr.2024.188477","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Conventional devices used for measuring strain, like strain gauges and LVDTs, typically used as single-point sensors, require enhanced precision of gathered data, encompassing accuracy and consistency. However, these instruments are incapable of generating strain maps. Furthermore, it requires more time and precision during the set-up test. However, this study assesses the reliability of digital image correlation (DIC) methods as a non-destructive and helpful tool for monitoring the development of cracks in cementitious composites by comparing the DIC test and the mechanical test (Machine test) results. In the objective study, three types of mortars were prepared: Normal Strength Mortar (NSM), High Strength Mortar (HSM), and High Strength Mortar with Fly Ash (HSMFA). Steel 13 mm in length and synthetic fibres 19mm and 54 mm in length (short and long) were mixed into the composites in varied volume ratios, ranging from 0% to 1. Pre-notched 40x40x160 mm prismatic specimens were tested in three-point bending while being simultaneously filmed to track the crack's growth. The results showed that the post-cracking behaviour switches from softening to hardening for some types of mortar and certain fibre dosages. To evaluate the reliability of DIC for the characterisation of fracture properties, the vertical displacements for all specimens were analysed using GOM correlate software and compared with machine test data. The use of the DIC approach for the measurement of crack opening and the interpretation of the results in terms of Force-crack mouth opening displacement (CMOD) were made possible by the good agreement between the results regarding vertical deflection for all the employed mortars.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于水泥基复合材料断裂表征的数字图像相关技术的可靠性
用于测量应变的传统设备,如应变片和 LVDT,通常用作单点传感器,需要提高收集数据的精度,包括准确性和一致性。然而,这些仪器无法生成应变图。此外,在设置测试过程中需要更多的时间和精度。不过,本研究通过比较数字图像相关性(DIC)测试和机械测试(机器测试)结果,评估了数字图像相关性(DIC)方法作为监测水泥基复合材料裂缝发展的非破坏性和有用工具的可靠性。在目标研究中,制备了三种砂浆:普通强度砂浆(NSM)、高强度砂浆(HSM)和含粉煤灰的高强度砂浆(HSMFA)。将长度为 13 毫米的钢材和长度为 19 毫米和 54 毫米的合成纤维(短纤维和长纤维)以 0% 至 1 的不同体积比混合到复合材料中。在三点弯曲试验中,对预缺口为 40x40x160 毫米的棱柱试样进行了测试,同时对裂纹的生长过程进行了跟踪拍摄。结果表明,对于某些类型的砂浆和某些纤维用量,开裂后的行为会从软化转为硬化。为了评估 DIC 用于断裂特性表征的可靠性,使用 GOM correlate 软件对所有试样的垂直位移进行了分析,并与机器测试数据进行了比较。由于所有使用的砂浆在垂直变形方面的结果都非常一致,因此可以使用 DIC 方法测量裂缝张开情况,并用力-裂缝口张开位移(CMOD)来解释结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Comparative Evaluation of Derived and Previously Published Models for Estimating Annual Runoff in the Mountainous Watersheds of Sulaimani Province Machine Learning Models for Predicting Flexural Behavior of FRP-Strengthened RC Beams Molecular identification, Prevalence, and Phylogeny of Burkholderia cepacia Complex (BCC) Species in the Respiratory Tract of Hospitalized Patients Effect of temperature on the reaction of pristine and Au-doped SnO2 pyramid clusters with H2: A transition state theory study Personality Traits and Language Learning Strategies among EFL Students
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1