International Journal of R&D in Engineering, Science and Management

7

Authors: N. Vivekanandan

Estimation of Extreme Wind Sped (EWS) is one of the important parameter for planing, design and management of civil structures such as bridges, wind turbines and radio masts etc. This can be achieved through Extreme Value Analysis (EVA) of wind sped data adopting five probabilty distributions. Method of L-Moments (LMOM) is aplied for determination of parameters of the distributions for estimation of EWS. Godnes-of-Fit ests such as Chi-Square and Kolmogorov-Smirnov are aplied for checking the adequacy of iting of distributions to the recorded data. A diagnostic test of D-index is used for the selection of a suitable distribution for EVA of wind sped. The paper presents the Gumbel Extreme Value is beter suited amongst five distributions studied for estimation of EWS for Delhi and Extreme Value Type-1 distribution for Kanyakumari