霍林生

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:土木工程系

学科:结构工程

办公地点:综合实验4号楼501

联系方式:0411-84706304

电子邮箱:lshuo@dlut.edu.cn

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Grouting monitoring of post-tensioning tendon duct using PZT enabled time-reversal method

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论文类型:期刊论文

发表时间:2018-07-01

发表刊物:MEASUREMENT

收录刊物:SCIE、EI、Scopus

卷号:122

页面范围:513-521

ISSN号:0263-2241

关键字:Post-tensioning tendon duct (PTTD); Reinforced concrete; Grouting; Grouting monitoring; Lead Zirconate Titanate (PZT); Time-reversal method

摘要:The post-tensioning method, which involves the post-tensioning tendon duct (PTTD), is often used to reinforce concrete beams. An important procedure of the post-tensioning method is to fill the tendon duct with grout to protect the prestressed reinforcement from moisture and air. The grouting quality has a great impact on the corrosion prevention for the prestressed reinforcement and the bearing capacity of the concrete structures. In this paper, a method using Lead Zirconate Titanate (PZT) enabled time-reversal method to monitor the grouting quality is proposed. PZT is a commonly used piezoceramic material with strong piezoelectric effect. In the proposed method, one PZT ring installed on the prestressed reinforcement is used as an actuator to generate stress waves and the other distributive PZT patches bonded on the outer surface of the tendon duct are applied as sensors to detect the propagated stress waves. The grout in tendon duct forms conduits between PZT ring actuator and PZT patch sensors. To quantitatively represent the grout's presence, the time-reversal method is used. The received signals from the sensors are reversed by the time-reversal operation and re-emitted. The grouting quality is evaluated by analyzing the peak value changes of the time-reversal focused signal. Experiments with 0%, 50%, 75%, and 100% grouting levels are conducted by the proposed method. The experimental results show that the grouting quality in the tendon duct can be estimated by monitoring the peak value changes of the time-reversal focused signal. (C) 2017 Elsevier Ltd. All rights reserved.