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
  • [21] Reliability Analysis Of Wind Turbines Using Petri Nets
    Tazi, Nacef
    Chatelet, Eric
    Aissaoui, Abdel Ghani
    Bouzidi, Youcef
    2018 7TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2018, : 858 - 864
  • [22] Wind turbine SCADA alarm analysis for improving reliability
    Qiu, Yingning
    Feng, Yanhui
    Tavner, Peter
    Richardson, Paul
    Erdos, Gabor
    Chen, Bindi
    WIND ENERGY, 2012, 15 (08) : 951 - 966
  • [23] Reliability analysis of wind turbines exposed to dynamic loads
    Sorensen, John Dalsgaard
    EURODYN 2014: IX INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS, 2014, : 39 - 46
  • [24] Reliability Analysis of the Collection System of an Offshore Wind Farm
    Dahmani, Ouahid
    Bourguet, Salvy
    Machmoum, Mohamed
    Guerin, Patrick
    Rhein, Pauline
    2014 NINTH INTERNATIONAL CONFERENCE ON ECOLOGICAL VEHICLES AND RENEWABLE ENERGIES (EVER), 2014,
  • [25] Experimental Analysis on Reliability of Needle Electrodes in Ionic Wind
    Kaphle, Sambhav Prashit
    Bhattacharya, Anandaroop
    IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY, 2025, 15 (02): : 428 - 431
  • [26] DYNAMIC RESPONSE AND RELIABILITY ANALYSIS OF WIND-EXCITED WIND TURBINE SYSTEMS
    He, Guang-Ling
    Li, Jie
    ISISS '2009: INNOVATION & SUSTAINABILITY OF STRUCTURES, VOLS 1 AND 2, 2009, : 1518 - 1525
  • [27] Experiment-based reliability analysis of structural joints in a steel lattice tower
    Szafran, Jacek
    Juszczyk, Klaudia
    Kaminski, Marcin
    JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH, 2019, 154 : 278 - 292
  • [28] Reliability analysis of Solar-Gas Hybrid Receivers for central tower plants
    Setien, E.
    Frasquet, M.
    Saliou, G.
    Silva, M.
    Pinna, G.
    Blazquez, R.
    Ruiz, V.
    INTERNATIONAL CONFERENCE ON CONCENTRATING SOLAR POWER AND CHEMICAL ENERGY SYSTEMS, SOLARPACES 2014, 2015, 69 : 1558 - 1567
  • [29] Fatigue Reliability Analysis of Wind Turbine Cast Components
    Rafsanjani, Hesam Mirzaei
    Sorensen, John Dalsgaard
    Faester, Soren
    Sturlason, Asger
    ENERGIES, 2017, 10 (04):
  • [30] A Reliability Analysis for Wireless Sensor Networks in a Wind Farm
    Vasar, Cristian
    Prostean, Octavian
    Filip, Ioan
    Robu, Raul
    Popescu, Dan
    2009 XXII INTERNATIONAL SYMPOSIUM ON INFORMATION, COMMUNICATION AND AUTOMATION TECHNOLOGIES, 2009, : 220 - +