Wind and Structures

  • 제10권1호
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  • Pages.45-60
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  • 2007
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  • 1226-6116(pISSN)
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  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Probability density evolution analysis on dynamic response and reliability estimation of wind-excited transmission towers

  • Zhang, Lin-Lin (Department of Building Engineering, School of Civil Engineering, Tongji University) ;
  • Li, Jie (Department of Building Engineering, School of Civil Engineering, Tongji University)
  • 투고 : 2005.11.15
  • 심사 : 2006.11.03
  • 발행 : 2007.02.25
⟨ 이전 논문 다음 논문 ⟩

초록

Transmission tower is a vital component in electrical system. In order to accurately compute the dynamic response and reliability of transmission tower under the excitation of wind loading, a new method termed as probability density evolution method (PDEM) is introduced in the paper. The PDEM had been proved to be of high accuracy and efficiency in most kinds of stochastic structural analysis. Consequently, it is very hopeful for the above needs to apply the PDEM in dynamic response of wind-excited transmission towers. Meanwhile, this paper explores the wind stochastic field from stochastic Fourier spectrum. Based on this new viewpoint, the basic random parameters of the wind stochastic field, the roughness length $z_0$ and the mean wind velocity at 10 m heigh $U_{10}$, as well as their probability density functions, are investigated. A latticed steel transmission tower subject to wind loading is studied in detail. It is shown that not only the statistic quantities of the dynamic response, but also the instantaneous PDF of the response and the time varying reliability can be worked out by the proposed method. The results demonstrate that the PDEM is feasible and efficient in the dynamic response and reliability analysis of wind-excited transmission towers.

키워드

참고문헌

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피인용 문헌

  1. Reliability of Tower and Tower-Line Systems under Spatiotemporally Varying Wind or Earthquake Loads vol.143, pp.10, 2017, https://doi.org/10.1061/(ASCE)ST.1943-541X.0001835
  2. New Perspective on Application of First-Order Reliability Method for Estimating System Reliability vol.143, pp.9, 2017, https://doi.org/10.1061/(ASCE)EM.1943-7889.0001280
  3. Dynamic Responses and Vibration Control of the Transmission Tower-Line System: A State-of-the-Art Review vol.2014, 2014, https://doi.org/10.1155/2014/538457
  4. A Bayesian network based framework to evaluate reliability in wind turbines vol.22, pp.5, 2016, https://doi.org/10.12989/was.2016.22.5.543
  5. Stability behavior of the transmission line system under incremental dynamic wind load vol.31, pp.6, 2007, https://doi.org/10.12989/was.2020.31.6.509