基于压电智能骨料的钢管混凝土柱冲击应力监测与数值模拟
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摘要
为研究钢管混凝土柱在冲击荷载作用下的应力监测方法,将压电智能骨料埋入钢管混凝土柱内部进行不同工况下的冲击应力监测试验。通过锤头加速度传感器和智能骨料的监测数据,分别转换并绘制了钢管混凝土柱的冲击力时程曲线和智能骨料的应力响应曲线,同时观测了试件的变形和破坏现象。利用ABAQUS软件对冲击试验进行有限元分析,将有限元分析结果与试验结果进行对比,二者吻合程度较好。结果表明,压电智能骨料能够有效监测钢管混凝土柱在冲击荷载作用下的内部应力变化,有限元建立的模型具有较好的适用性,本文研究成果可以为钢管混凝土结构动力灾变机理分析提供监测数据。
In order to research the stress monitoring method of the concrete filled steel tube column( CFST) under the impact load,the piezoelectric smart aggregate is embedded into CFST to carry out the impact stress monitoring test under different working conditions. Through the monitoring data of the hammerhead acceleration sensor and the smart aggregate,the impact force time-history curve of CFST and the stress response curve of the smart aggregate are transformed and plotted respectively,and the deformation and failure of the specimen are observed. The finite element analysis of impact test is carried out by ABAQUS software. The results of finite element analysis are compared with the experimental results,and the two are in good agreement. The results show that the piezoelectric smart aggregate can effectively monitor the internal stress changes of CFST under the impact load,and the model established by the finite element method has good applicability. The results of this paper can provide the monitoring data for the analysis of the dynamic catastrophe mechanism of the concrete filled steel tube structure.
In order to research the stress monitoring method of the concrete filled steel tube column( CFST) under the impact load,the piezoelectric smart aggregate is embedded into CFST to carry out the impact stress monitoring test under different working conditions. Through the monitoring data of the hammerhead acceleration sensor and the smart aggregate,the impact force time-history curve of CFST and the stress response curve of the smart aggregate are transformed and plotted respectively,and the deformation and failure of the specimen are observed. The finite element analysis of impact test is carried out by ABAQUS software. The results of finite element analysis are compared with the experimental results,and the two are in good agreement. The results show that the piezoelectric smart aggregate can effectively monitor the internal stress changes of CFST under the impact load,and the model established by the finite element method has good applicability. The results of this paper can provide the monitoring data for the analysis of the dynamic catastrophe mechanism of the concrete filled steel tube structure.
引文
[1] Zhao X L,Han L H,Lu H. Concrete-filled Tubular Members and Connections[M]. Crc Pr Inc,2010.
[2]杨有福,韩林海,范喜哲.钢管混凝土动力性能研究现状[J].哈尔滨建筑大学学报,2000,(5):40-46.
[3] Song G,Gu H,Li H. Application of the Piezoelectric Materials for Health Monitoring in Civil Engineering:An Overview[C]//Biennial Conference on Engineering,Construction,and Operations in Challenging Environments. 2004:680-687.
[4] Olmi C,Gu H,Song G. An overheight vehicle bridge collision monitoring system using piezoelectric transducers[J]. Smart Material Structures,2007,16(2):462-468.
[5]杜国锋,吴方红,何明星,等.基于压电陶瓷的高强度智能骨料研制[J].广西大学学报(自然科学版),2016,41(2):301-307.
[6] Du G F,Zhang J,Zhang J C,et al. Experimental study on stress monitoring of sand-filled steel tube during impact using piezoceramic smart aggregates[J].Sensors,2017,17(8):1930.
[7] Feng Q,Kong Q Z,Song G B. Damage detection of concrete piles subject to typical damage types based on stress wave measurement using embedded smart aggregates transducers[J]. Measurement,2016,88:345-352.
[8]许斌,王丹.混凝土嵌入式压电动态剪应力传感器研发[J].压电与声光,2015,37(5):764-767.
[9]张娟,吴方红,李召,等.压电智能骨料的灵敏度标定试验[J].混凝土,2017,(12):112-115.
[10]刘威.钢管混凝土局部受压时的工作机理研究[D].福州:福州大学,2005.
[11] Kulkarni S M,Shah S P. Response of reinforced concrete beams at high strain rates[J]. Structural Journal,1998,95(6):705-715.
[12]韩林海.钢管混凝土结构[M].北京:科学出版社,2000.
[13] Symonds P S. Survey of methodsof analysis for plastic deformation of structures under dynamic loading[J].Ciência E Tecnologia De Alimentos,1967,31(4):967-972.
[2]杨有福,韩林海,范喜哲.钢管混凝土动力性能研究现状[J].哈尔滨建筑大学学报,2000,(5):40-46.
[3] Song G,Gu H,Li H. Application of the Piezoelectric Materials for Health Monitoring in Civil Engineering:An Overview[C]//Biennial Conference on Engineering,Construction,and Operations in Challenging Environments. 2004:680-687.
[4] Olmi C,Gu H,Song G. An overheight vehicle bridge collision monitoring system using piezoelectric transducers[J]. Smart Material Structures,2007,16(2):462-468.
[5]杜国锋,吴方红,何明星,等.基于压电陶瓷的高强度智能骨料研制[J].广西大学学报(自然科学版),2016,41(2):301-307.
[6] Du G F,Zhang J,Zhang J C,et al. Experimental study on stress monitoring of sand-filled steel tube during impact using piezoceramic smart aggregates[J].Sensors,2017,17(8):1930.
[7] Feng Q,Kong Q Z,Song G B. Damage detection of concrete piles subject to typical damage types based on stress wave measurement using embedded smart aggregates transducers[J]. Measurement,2016,88:345-352.
[8]许斌,王丹.混凝土嵌入式压电动态剪应力传感器研发[J].压电与声光,2015,37(5):764-767.
[9]张娟,吴方红,李召,等.压电智能骨料的灵敏度标定试验[J].混凝土,2017,(12):112-115.
[10]刘威.钢管混凝土局部受压时的工作机理研究[D].福州:福州大学,2005.
[11] Kulkarni S M,Shah S P. Response of reinforced concrete beams at high strain rates[J]. Structural Journal,1998,95(6):705-715.
[12]韩林海.钢管混凝土结构[M].北京:科学出版社,2000.
[13] Symonds P S. Survey of methodsof analysis for plastic deformation of structures under dynamic loading[J].Ciência E Tecnologia De Alimentos,1967,31(4):967-972.