Probabilistic method for wind speed prediction and statistics distribution inference based on SHM data-driven

Author:

Ding YangORCID,Ye Xiao-Wei,Guo Yong,Zhang Ru,Ma Zhi

Publisher

Elsevier BV

Subject

Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Condensed Matter Physics,Nuclear Energy and Engineering,Civil and Structural Engineering,Statistical and Nonlinear Physics

Reference45 articles.

1. SHM-based probabilistic representation of wind properties: statistical analysis and bivariate modeling;Ye;Smart Struct. Syst.,2018

2. Experimental explorations of the torsional vortex-induced vibrations of a bridge deck;Xu;J. Bridge Eng.,2016

3. Two-degree-of-freedom inclined cable galloping-part 2: analysis and prevention for arbitrary frequency ratio;Macdonald;J. Wind Eng. Ind. Aerodyn.,2008

4. Analysis and probabilistic modeling of wind characteristics of an arch bridge using structural health monitoring data during typhoons;Ye;Struct. Eng. Mech.,2017

5. Machine learning approaches for wind speed forecasting using long-term monitoring data: a comparative study;Ye;Smart Struct. Syst.,2019

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