@inproceedings{scholars2447,
           pages = {74--79},
         address = {Kota Kinabalu, Sabah},
           title = {Statistical modelling of environmental load uncertainty for jacket platforms in Malaysia},
         journal = {CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research},
             doi = {10.1109/CHUSER.2012.6504284},
            year = {2012},
            note = {cited By 2; Conference of 2012 IEEE Colloquium on Humanities, Science and Engineering Research, CHUSER 2012 ; Conference Date: 3 December 2012 Through 4 December 2012; Conference Code:96849},
          author = {Kurian, V. J. and Nizamani, Z. and Liew, M. S.},
            isbn = {9781467346153},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877660779&doi=10.1109\%2fCHUSER.2012.6504284&partnerID=40&md5=8531a11f79e557b20f4d732320bfd8c3},
        keywords = {Gumbel distribution; Location parameters; Mean and standard deviations; scale; shape; Significant wave height; Statistical modelling; Uncertainty variables, Drilling platforms; Engineering research; Extrapolation; Uncertainty analysis; Wind effects, Weibull distribution},
        abstract = {Proper evaluation of load is the most important step for the design of a structure. This paper presents the uncertainty modeling of environmental load for jacket platforms in Malaysia. We are interested only in extreme loads for the modeling of environmental load which are distributed by extreme values. Here in this paper, Weibull or Gumbel distributions are used. The existing platforms are designed for 100 year return period but are assessed for 10,000 years as recommended by ISO 19902 and API RP2A. The nature of environmental load is probabilistic and we need to ascertain the randomness of the load. This study covers three parameters of environmental load acting on jacket platforms namely significant wave height (Hs), wind speed and surface current speed in the Peninsular Malaysia (PM) region. Two-parameter Weibull and Gumbel distributions were used for the analysis. The data is in shape of 1, 10, 50, 100 year return period. Parameters of distribution are determined first, which are used to find mean and standard deviation of respective distribution. From this, uncertainty variables are extrapolated up to 1000 and 10,000 years. Finally the data was compared with data from Gulf of Mexico (GOM), Northern North Sea (NNS), Southern North Sea (SNS) and Central North Sea (CNS). This work will lead to determining the reliability of jacket platforms in Malaysia. {\^A}{\copyright} 2012 IEEE.}
}