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作 者:赵乃志[1,2] 陈桂凤[1] ZHAO Naizhi;CHEN Guifeng(School of Civil Engineering,Yangzhou Polytechnic Institute,Yangzhou 225127,China;School of Civil Engineering,Jiangnan University,Wuxi 214122,China)
机构地区:[1]扬州工业职业技术学院建筑工程学院,江苏扬州225127 [2]江南大学环境与土木工程学院,江苏无锡214122
出 处:《混凝土》2018年第10期6-9,13,共5页Concrete
基 金:国家自然科学基金项目(51308357);江苏省高校自然科学基金项目(16KJB560024);江苏高校‘青蓝工程’资助项目;江苏省第五期"333高层次人才培养工程"资助项目
摘 要:以压电陶瓷(PZT)作为传感器进行混凝土结构损伤研究,提出一种基于概率统计理论的混凝土结构损伤预警算法。探讨了不同的监测信号参数变化对混凝土结构损伤的敏感性,确定了损伤临界值方法。通过对在地震作用下的两层智能钢筋混凝土框架结构的试验研究,验证了提出的损伤识别算法的有效性。结果表明:提出的算法能有效地对混凝土结构进行损伤预警及损伤程度识别,在实际的工程结构中有着很好的应用性。This paper presents a new damage identification algorithm for concrete structure based on wave analysis method using piezoceramic(PZT)sensors.the importance and property of structure damage prewarning was discussed and a new structure damage prewarning method based on probability and statistic theory.A critical value for the damage happening of the concrete structure was evaluated using the proposed method,avoiding the subjectivemisjudgment by previous experience.This can provide a theoretical basis for the determination of the damage threshold.The proposed method for the structure damage identification was validated by an experiment of two-storey reinforced smart concrete frame structure under the earthquake excitation.The proposed algorithm can be successfully used for the concrete structure damage prewarning and the identification of the damage level.Compared with the traditional relevant method,the proposed method has the advantages of timely damage prewarning,reasonable damage level calculation,and is suitable to be used in practical engineering.
分 类 号:TU528.01[建筑科学—建筑技术科学]
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