广义局部信息熵在简支梁损伤识别中的应用
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摘要
为了探寻简便的混凝土桥梁损伤识别方法,基于信息熵基本理论,利用广义局部信息熵损伤指标,验证指标在钢筋混凝土简支梁中的损伤识别效果。采用有限元软件Midas/civil建立钢筋混凝土简支梁的数值模型,运行分析得到简支梁的动力特性,采用简支梁一阶和二阶振型数据构建广义局部信息熵损伤指标,分别研究广义局部信息熵在简支梁单点和多点损伤定位、损伤定量和抗噪性方面的效果。结果表明广义局部信息熵损伤指标在简支梁损伤识别中简易、高效,且具有一定的抗噪能力。
For seeking simple damage identification method of concrete bridge,based on comentropy basic theory,damage identification effect in reinforced concrete simply supported beam of index is verified with generalized local comentropy.Using finite element software Midas/civil to build reinforced concrete simply supported beam,and get dynamic property of simply supported beam after operation.The achieved first-order and second-order vibration mode data in analysis is used to make up generalized local comentropy damage index,which is used to research the effect of generalized local comentropy in simply supported beam single point and multi points damage location,quantifying damage and anti-noise property.The result shows that generalized local comentropy damage index is simple and efficient in identifying damage of simply supported beam,with some anti-noise function.
For seeking simple damage identification method of concrete bridge,based on comentropy basic theory,damage identification effect in reinforced concrete simply supported beam of index is verified with generalized local comentropy.Using finite element software Midas/civil to build reinforced concrete simply supported beam,and get dynamic property of simply supported beam after operation.The achieved first-order and second-order vibration mode data in analysis is used to make up generalized local comentropy damage index,which is used to research the effect of generalized local comentropy in simply supported beam single point and multi points damage location,quantifying damage and anti-noise property.The result shows that generalized local comentropy damage index is simple and efficient in identifying damage of simply supported beam,with some anti-noise function.
引文
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[2]孙晓丹,欧进萍.基于小波包和概率主成份分析的损伤识别[J].工程力学,2011,28(2):12-17.
[3]Zhou L R,Yan G R,Ou J P.Response Surface Method Based on Radial Basis Functions for Modeling Large-Scale Structures in Model Updating[J].Computer-Aided Civil and Infrastructure Engineering,2013,28(3):210-226.
[4]狄生奎,高虹.基于概率神经网络的桩-承台的损伤识别[J].甘肃科学学报,2007,19(3):142-144.
[5]张保强,陈国平,郭勤涛.使用有效模态质量和遗传算法的有限元模型修正[J].振动、测试与诊断,2012,32(4):577-580.
[6]杜永峰,李万润,刘迪.含模糊参数桁架结构动力特性的模糊性分析[J].甘肃科学学报,2010,22(4):92-95.
[7]张继国,辛格.信息熵-理论与应用[M].北京:中国水利水电出版社,2012.
[8]Bang Bin W U,Ru W Z,Bo C,et al.Crack Status Analysis for Concrete Dams Based on Measured Entropy[J].Science China Technological Sciences,2016,(5):1-6.
[9]刘国华,吴志根.引入信息熵理论的砼结构损伤动力识别新思路[J].振动与冲击,2011,30(6):162-171.
[10]Yang Z,Chen X,Jiang Y,et al.Generalised Local Entropy Analysis for Crack Detection in Beam-like Structures[J].Nondestructive Testingand Evaluation,2014,29(2):133-153.
[11]瞿伟廉,彭琦.桅杆结构竖向杆件损伤位置识别的时域方法[J].地震工程与工程振动,2007,27(5):110-116.
[12]曹晖,林秀萍.结构损伤识别中噪声的模拟[J].振动与冲击,2010,29(5):106-109.