relation: https://khub.utp.edu.my/scholars/2447/ title: Statistical modelling of environmental load uncertainty for jacket platforms in Malaysia creator: Kurian, V.J. creator: Nizamani, Z. creator: Liew, M.S. description: 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. © 2012 IEEE. date: 2012 type: Conference or Workshop Item type: PeerReviewed identifier: Kurian, V.J. and Nizamani, Z. and Liew, M.S. (2012) Statistical modelling of environmental load uncertainty for jacket platforms in Malaysia. In: UNSPECIFIED. relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877660779&doi=10.1109%2fCHUSER.2012.6504284&partnerID=40&md5=8531a11f79e557b20f4d732320bfd8c3 relation: 10.1109/CHUSER.2012.6504284 identifier: 10.1109/CHUSER.2012.6504284