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An experimental investigation on the health monitoring of concrete structures using piezoelectric transducers at various environmental temperatures  ( SCI-EXPANDED收录 EI收录)   被引量:35

文献类型:期刊文献

英文题名:An experimental investigation on the health monitoring of concrete structures using piezoelectric transducers at various environmental temperatures

作者:Zou, Dujian[1];Liu, Tiejun[1];Liang, Chaofeng[2];Huang, Yongchao[1];Zhang, Fuyao[1];Du, Chengcheng[1]

机构:[1]Harbin Inst Technol, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China;[2]Shaoxing Univ, Dept Civil Engn, Shaoxing, Peoples R China

年份:2015

卷号:26

期号:8

起止页码:1028

外文期刊名:JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES

收录:SCI-EXPANDED(收录号:WOS:000353419600011)、、EI(收录号:20152500942891)、Scopus(收录号:2-s2.0-84930916177)、WOS

基金:The work is sponsored by the Program for National Science Foundation for Excellent Young Scientists under Grand 51422804, New Century Excellent Talents in University under Grant NCET-13-0171, National Nature Science Foundation of China under Grants 51308322 and 51178154, China Postdoctoral Science Foundation under Grants 2013M530049 and 2014T70085, and Program of Shenzhen Science and Technology Plan under Grant ZDSY20120613125318342.

语种:英文

外文关键词:Health monitoring; concrete structures; smart aggregate; environmental temperature

外文摘要:The application of piezoelectric transducers in in situ health monitoring of concrete structures has been widely investigated. However, previous experimental studies were normally performed in an isothermal room environment, which offers insufficient considerations for temperature variations that real engineering structures experience in practical monitoring cases. In this article, the temperature effects on smart aggregate-based monitoring results are treated by performing active structural health monitoring on two plain concrete specimens at various temperatures. Experimental results show that the amplitude of the monitoring signal increases with temperature, with low-frequency signals being more sensitive to temperature variation while high-frequency signals less temperature dependent. This research demonstrates the necessity of temperature compensation in smart aggregate-based monitoring techniques.

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