Defect Detection in Grouting Sleeve Grouting Material by Piezoelectric Wave Method

Author:

Qiao Qiyun1,Wang Xiuyu1,Liu Wenchao2,Yang Hongchun2

Affiliation:

1. Urban Construction Department, Beijing University of Technology, Beijing 100020, China

2. CCCC Construction Group Co., Ltd., Beijing 100120, China

Abstract

The construction defects in grouting sleeves can jeopardize the safety of precast reinforced concrete structures. Thus, efficient and accurate defect detection is critical in engineering construction. In this paper, a defect detection method based on piezoelectric wave theory was proposed. Two piezoelectric ceramics were arranged within the grouting sleeve. One piezoelectric ceramic was affixed on the top of the steel bar, while the other was embedded in the grouting material, serving as the driver and sensor, respectively. The compactness defects, air cavity defects, steel anchoring defects, and water–binder ratio defects were set in the grouting sleeves, and the trends in time domain signals and signal evaluation indicators based on the wavelet packet total energy value (WPTEV) of different specimens were investigated. Based on the WPTEV, the evaluation index (EI) was proposed. In addition, the effect of the grouting material’s age on the piezoelectric wave signal was verified. Furthermore, the influence of grouting material defects on signals was simulated in ABAQUS, and the time domain signals and wavelet packet energy of sensor signals for specimens with varying defect dimensions were evaluated. The results showed that: (1) The defects in the grouting materials reduced the stress waves propagated through the grouting materials, resulting in a decrease in attenuation and an increasing trend in the signal; (2) The peak-to-peak values of piezoelectric ceramic sensors and the WPTEV of the signal increased with the degree of defects, and the WPTEV was more pronounced. For specimen M68, the WPTEV was 3.3 times that of the healthy specimen, however, the peak-to-peak value was only 2.3 times that of the healthy specimen; (3) The degree of defects was accurately determined by the defect evaluation index (EI) based on the WPTEV; (4) The signal was significantly attenuated with the increase in the age of the grouting material, especially in the first three days, and finally the signal achieved a stable value; (5) The numerical simulation indicated that the defects in the length and thickness of the air cavity in the grouting material were efficiently detected by the proposed piezoelectric arrangement in this study.

Funder

Ministry of Science and Technology of the People’s Republic of China

Publisher

MDPI AG

Reference27 articles.

1. Zheng, Q. (2017). Experimental Study on Effects of Grouted Defects on Behaviors of Grout Sleeve Splicing and Specimens. [Master’s Thesis, China Academy of Building Research]. Available online: https://kns.cnki.net/kcms2/article/abstract?v=yXT3uqWUX__0J6U_S1eFkpkRPAPj47-gKVvHutIJhudmkj0-x6tUkeYC9xdc823y4-xgThhoLA8uOpPOzLumOgJHN1E08Cy7DIW4E_7RUYgq97RHELKn1I7dfCFbz3eo_z-a1QTxjxI=&uniplatform=NZKPT&language=CHS.

2. Acoustic emission testing method for the sleeve grouting compactness of fabricated structure;Ma;Constr. Build. Mater.,2019

3. Zhang, L., Fang, Z.M., Tang, Y.Z., Li, H.Y., and Liu, Q.Z. (2022). Characterization of Damage Progress in the Defective Grouted Sleeve Connection Using Combined Acoustic Emission and Ultrasonics. Sensors, 22.

4. Experimental investigation on connection performance of fully-grouted sleeve connectors with various grouting defects;Guo;Constr. Build. Mater.,2022

5. A low-cost version of electro-mechanical impedance technique for damage detection in reinforced concrete structures using multiple piezo configurations;Kaur;Adv. Struct. Eng.,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3