Parameter Variations of Identified Model for Static Deformation Analysis of Arch Dam
Parameter Variations of Identified Model for Static Deformation Analysis of Arch Dam
摘要
The structural health monitoring of a dam is important for maintaining the safe operation and longevity of the dam system. The structural health of a large dam can be monitored from the measured static deformation. This paper presents an investigation of the parameter variations of the identified model of the measured long-term static deformation for the structural health monitoring of Fui-Tsui Dam, which is located in a very active seismic zone of Taiwan. The measured static deformation is characterized as a function of the measured physical parameters, including the effects of hydrostatic pressure and temperature variation. The identified parameters, associated with the effects of hydrostatic pressure and temperature variation, change with environmental factors, such as flooding, earthquake and foundation change.
参考文献11
-
1Brownjohn, J. M. W. 2007. "Structural Health Monitoring of Civil Infrastructure." Philosophical Transactions of the Royal Society A 365: 589-622.
-
2Su, J. Z., Xia, Y., Chen, L., Zhao, X., Zhang, Q. L., and Xu, Y. L., et al. 2013. "Long-Term Structural Performance Monitoring System for the Shanghai Tower." Journal of Civil Structural Health Monitoring 3: 49-61.
-
3Fanelli, M. A. 1992. The SaJety of Large Dams, Engineering Safety, edited by Blockley, D. Berkshire: McGraw-Hill.
-
4Sohn, H., Farrar, C. R., Hemez, F. M., Czameki, J. J., Shunk, D. D., and Stinemates, D. W. 2002. A Review of Structural Health Monitoring Literature: 1996-2001. Los Alamos National Laboratory Report, LA-13976-MS.
-
5Lew, J. S. 1995. "Using Transfer Function Parameter Changes for Damage Detection of Structures." A1AA Journal 33 (11): 2189-93.
-
6Loh, C. H., Hsu, T. Y., and Chen, C. H. 2011. "Application of Advanced Statistical Methods for Extracting Long-Term Trends in Static Monitoring Datafrom an Arch Dam." Structural Health Monitoring 10 (6): 587-601.
-
7Peeters, B., and De Roeck, G. 2001. "One-Year Monitoring of the Z24-Bridge: Environmental Effects Versus Damage Events." Earthquake Engineering and Structural Dynamics 30: 149-71.
-
8Sohn, H., Dzwonczyk, M., Straser, E. G., Kiremidjian, A. S., Law, K. H., and Meng, ;F. 1999. "An Experimental Study of Temperature Effect on Modal Parameters of the Alamosa Canyon Bridge." Earthquake Engineering andStructural Dynamics 28: 879-97.
-
9De Sortis, A., and Paoliani, P. 2007. "Statistical Analysis and Structural Identification in Concrete Dam Monitoring." Eng. Struct. 29 (1): 110-20.
-
10Mata, J. 2011. "Interpretation of Concrete Dam Behaviour with Artificial Neural Network and Multiple Linear Regression Models." Eng. Struct. 33 (3): 903-10.
-
1齐良锋.大坝坝体水平变形模型研究[J].上海应用技术学院学报（自然科学版）,2011,11(4):290-293. 被引量：1
-
2李峰,申屠宝卿.模流分析在含嵌件制品优化设计中的应用[J].塑料工业,2007,35(9):35-37. 被引量：13
-
3陆付民.时间水位因子模型在大坝变形分析中的应用[J].三峡大学学报（自然科学版）,2003,25(6):488-491.
-
4唐丽云,杨更社,赵涛,彭景.重力坝坝体水平变形模型研究[J].西安科技大学学报,2012,32(2):193-197. 被引量：4
-
5刘文宝.变形模型的可发现性分析[J].武测科技,1994(4):1-6. 被引量：1
-
6郑华升,李静,朱四荣.CFRP智能表层在结构健康监测中的应用[J].塑料工业,2017,45(3):157-160. 被引量：2
-
7侯振宁,武珂.起重机械结构健康监测关键技术分析[J].中国机械,2015,0(3):95-96. 被引量：1
-
8谢碧云,马能武.三峡升船机及临时船闸高边坡岩体变形分析[J].人民长江,1999,30(8):11-13. 被引量：3
-
9Akasa.,T,周梦玲.受载子午线车辆轮胎的变形分析[J].轮胎研究与开发,1993(4):66-75.
-
10姚翔.保护涂层材料对天然橡胶在静态变形下进行臭氧防护的研究[J].橡胶参考资料,2001,31(11):25-26.
