Reliability analysis of a microwave tower for fluctuating mean wind with directional effect

被引:11
|
作者
Deoliya, R
Datta, TK
机构
[1] Indian Inst Technol, Dept Civil Engn, New Delhi 110016, India
[2] Struct Engn Res Ctr, Ghaziabad, Uttar Pradesh, India
关键词
microwave towers; reliability; system reliability; fluctuating mean wind; directional effect; first order second moment method;
D O I
10.1016/S0951-8320(99)00053-8
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The reliability analysis of a 75 m tall steel lattice tower is presented for the annual variation of mean wind velocity taken as a function of both mean wind speed and direction. A parametric study is also conducted in order to investigate the effect of different important parameters on the component and system reliability of the tower. Variation of the mean wind velocity is determined from the continuous records of the hourly mean wind speed and the hourly mean values of the two components of the wind velocity. Annual probability of maximum response of a component of the tower exceeding a threshold level is determined as the mean number of crossing per day of the velocity vector out of the safe resistance boundary surface defined as a function of mean wind speed and direction. Using the above method of analysis, reliability against allowable stress failure of critical members of the tower and the consequent, system reliability are determined for a number of parametric variations. It is shown that the probability of failure of the tower increases with the increase in the standard deviation of mean wind speed, the zero crossing rate and the correlation coefficient between the velocities in the two directions. Further, the variation of the probability of failure is found to he sensitive to the variation of the above parameters in the lower range of the threshold levels of stresses. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:257 / 267
页数:11
相关论文
共 50 条
  • [41] The System Reliability Analysis of 1000 kV UHV Transmission Tower Based on Moment Method
    Li, Maohua
    Li, Zhengliang
    Yu, Dengke
    2012 INTERNATIONAL CONFERENCE ON FUTURE ENERGY, ENVIRONMENT, AND MATERIALS, PT A, 2012, 16 : 166 - 171
  • [42] Analysis on Reliability Indices of Wind Farm and its Influencing Factors
    Xu, Yu
    Zhu, Yongqiang
    Ding, Zejun
    POWER AND ENERGY ENGINEERING CONFERENCE 2010, 2010, : 775 - 779
  • [43] Progressive advanced-mean-value method for CDF and reliability analysis
    Wu, YT
    Shah, CR
    Baruah, AKD
    INTERNATIONAL JOURNAL OF MATERIALS & PRODUCT TECHNOLOGY, 2002, 17 (5-6) : 303 - 318
  • [44] Field-data-based reliability analysis of power converters in wind turbines: Assessing the effect of explanatory variables
    Pelka, Karoline
    Fischer, Katharina
    WIND ENERGY, 2023, 26 (03) : 310 - 324
  • [45] Wind-induced failure analysis of a transmission tower-line system with long-term measured data and orientation effect
    Bi, Wenzhe
    Tian, Li
    Li, Chao
    Ma, Zhen
    Pan, Haiyang
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2023, 229
  • [46] Reliability based modeling and analysis for a wind power system integrated by two wind farms considering wind speed dependence
    Eryilmaz, Serkan
    Kan, Cihangir
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2020, 203
  • [47] Sensitivity Analysis of Offshore Wind Farm Topology based on Reliability Calculation
    Athamna, Issam
    Zdrallek, Markus
    Wiebe, Eduard
    Koch, Friedrich
    2014 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS), 2014,
  • [48] Dynamic response and reliability analysis of tall buildings subject to wind loading
    Zhang, Lin-lin
    Li, Jie
    Peng, Yongbo
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2008, 96 (01) : 25 - 40
  • [49] Reliability analysis of grid connected small wind turbine power electronics
    Arifujjaman, Md.
    Iqbal, M. T.
    Quaicoe, J. E.
    APPLIED ENERGY, 2009, 86 (09) : 1617 - 1623
  • [50] Stochastic Dynamic Response Analysis of Offshore Wind Turbines in a Reliability Perspective
    Moan, Torgeir
    EURODYN 2014: IX INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS, 2014, : 21 - 36