By Topic

Assessing Laboratory and Field Measurements for Design

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Niedzwecki, J.M. ; Zachry Dept. of Civil Eng., Texas A&M Univ., College Station, TX

Present design methods rely heavily on model basin tests to validate the predictive models used in the design process for offshore structures. Data obtained from laboratory and field test program are closely held by industry; consequently the data analyzed in this study is for nearly similar but not identical deepwater platforms. The findings of this investigation are presented using contour and exceedance probability graphs. The exceedance graphs present exceedance information based upon the measured data with an overly of two different Weibull curve fit models. The first model illustrates the common two-parameter Maximum Likelihood approach, while the second explores the use of a two-parameter least-squares log Weibull model. Neither appears to be entirely satisfactory for the range considered, and the computed coefficients are found to differ only slightly. The most probable maxima are often used to help interpret the limits of experimental data that should be used. Here the most probable maximum was computed as a function Ochi's risk parameter for two different values, as noted in the legend. This study presents some alternate ways of visualizing and interpreting data measured in either laboratory or field studies. The intent here was to highlight some points that should be considered when either interpreting data or when designing measurement programs

Published in:


Date of Conference:

18-21 Sept. 2006