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基于压电陶瓷传感器的钢筋混凝土框架结构裂缝损伤全过程监测
引用本文:孙 威,阎 石,姜绍飞,陈 鑫. 基于压电陶瓷传感器的钢筋混凝土框架结构裂缝损伤全过程监测[J]. 建筑科学与工程学报, 2013, 0(4): 84-90
作者姓名:孙 威  阎 石  姜绍飞  陈 鑫
作者单位:福州大学 土木工程学院
摘    要:基于压电陶瓷传感器开展了动力荷载作用下的钢筋混凝土框架模型结构裂缝损伤全过程监测试验。在1个2层2榀钢筋混凝土框架结构中埋入压电陶瓷传感器,对模型结构先后施加拟动力荷载和拟静力荷载的作用,监测结构在荷载作用下的损伤发展全过程,并采用移动平均法对监测数据进行平滑处理。结果表明:所采用的监测方法能够有效监测结构健康状态的发展趋势,但受环境等因素的影响,监测数据存在波动性,给损伤识别带来一定困难;采用移动平均法进行数据处理可使损伤识别结果更加准确;基于压电陶瓷传感器的混凝土裂缝损伤监测方法可用于结构的长期监测,有效的数据平滑滤噪措施对于损伤的正确识别具有重要意义。

关 键 词:压电陶瓷传感器  钢筋混凝土框架结构  动力荷载  裂缝损伤  全过程监测

Cracking Damage Process Monitoring of RC Frame Structure Based on Piezoelectric Ceramic Transducers
SUN Wei,YAN Shi,JIANG Shao-fei,CHEN Xin. Cracking Damage Process Monitoring of RC Frame Structure Based on Piezoelectric Ceramic Transducers[J]. Journal of Architecture and Civil Engineering, 2013, 0(4): 84-90
Authors:SUN Wei  YAN Shi  JIANG Shao-fei  CHEN Xin
Affiliation:School of Civil Engineering, Fuzhou University
Abstract:Based on piezoelectric ceramic transducers, a cracking damage process monitoring of reinforced concrete (RC) frame structure under dynamic load was conducted. In the test, some piezoelectric transducers were buried into a two-span and two-story RC frame structure; the pseudo dynamic load and static load were applied on the model structure respectively. The cracking damage process of structure under the load was monitored. Moving average method was used in data smooth processing. The results show that the method is effective for monitoring the development tendency of structure health situation in long-term period. But monitoring data has volatility caused by environmental factors, which brings certain difficulty for damage identification. It will get better results after the data processing by moving average method. The concrete crack damage monitoring method based on piezoelectric ceramic transducers is fit for a long-term monitoring of structure, and the effective measure of data processing is significant for the damage identification.
Keywords:piezoelectric ceramic transducer  RC frame structure  dynamic load  crack damage  process monitoring
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