期刊文献+

基于应力和当量损伤系数的石油井架损伤识别 被引量:4

Damage identification of oil derrick based on stress and equivalent damage coefficients
下载PDF
导出
摘要 损伤是影响石油井架承载性能最重要的因素,为了准确诊断石油井架的损伤,提出了基于应力和当量损伤系数的识别法。首先,应用当量损伤系数作为判别损伤是否存在与程度大小的综合评价指标,建立了损伤刚度矩阵;其次,确定了应力与当量损伤系数之间的函数关系,推导了应力残差矩阵对当量损伤系数的灵敏度表达式;然后,构造了基于应力的目标函数,提出应用正算过程和优化方法反演识别当量损伤系数;最后,用该方法对某石油井架进行了损伤识别。结果表明:该方法能够准确地识别单损伤、两损伤和对称位置损伤。相对其他静力识别方法,计算工作量小,识别效率高。 Damage is the most important factor that influences the load - carrying capacity of oil derricks. To correctly diagnose the damage, a novel identification approach to oil derricks is proposed based on two indices, stress and equivalent damage coefficient. Firstly, equivalent damage coefficient is taken as the synthetical index to identify the existence and degree of damage, based on which, the damaged stiffness matrix is established. Secondly, the functional relationship between stress and equivalent damage coefficients is determined, and the sensitivity expression of stress residual matrix to equivalent damage coefficients is built. After that, the objective function based on stress is constructed, the direct derivation and optimization method are applied to identify the equivalent damage coefficients. Finally, the method is demonstrated with some oil derrick. Results show that single, two - damage and symmetry damage can be identified accurately. Compared with other static identification methods, it is more efficient and needs less working capacity.
出处 《石油钻采工艺》 CAS CSCD 北大核心 2008年第1期29-32,共4页 Oil Drilling & Production Technology
基金 中国石油天然气集团公司科学研究与技术开发资助项目(No:03B209000)
关键词 石油井架 损伤识别 应力 当量损伤系数 优化 oil derrick damage identification stress equivalent damage coefficient optimization
  • 相关文献

参考文献6

二级参考文献20

  • 1赵庆梅,周国强,韩东颖.井架结构安全承载力动态参数评定方法[J].石油矿场机械,2005,34(6):36-38. 被引量:3
  • 2[1]Hajela P, Soerio F J. Recent developments in damage detection based on system identification methods[J]. Structural Optimization, 1990(2) :1 - 10.
  • 3[2]Sanayei M, Saletnik M J. Parameter estimation of structure from static strain measurements I: Foruulation[J]. Journal of Structural Engineering, 1996,122(5): 555-562.
  • 4[3]Banan M R, Hjelmstad K D. Parameter estimation of structures fron static response 1: Computational aspects[J]. Joumal of Structural Engineering,1994, 120(11): 3243-3258.
  • 5WU X, GHABOUSSI J, GARRETT Jr J H. Use of neural networks in detection of structural damage [ J ]. Comput Struct, 1992, 42(4) : 649 -59.
  • 6SZEWCZYK Z, HAJELA P. Neural network based damage detection in structure [J].ASCE Journal of Computing and Civil Engineering, 1994, 8(2) :163 -78.
  • 7TSOU P, SHEN M H H. Structural damage detection and identification using neural networks[J].AIAA Journal,1994, 32(1) : 176 -83.
  • 8WANG X, HU N, FUKUNAGA H, et al. Structure damage identification using static test data and changes in frequencies[ J]. Engineering Structures, 2001 ( 23 ) :610 -21.
  • 9YUN Chungbang, EUN Young Bahng. Substructure indentification using neural networks[ J]. Computers and Structures, 2000(77): 41 -52.
  • 10Hajela P, Soerio F J. Recent developments in damage detection based on system identification methods. Structural Optimization, 1990, (2).

共引文献114

同被引文献47

引证文献4

二级引证文献30

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部