2019
DOI: 10.19080/ofoaj.2019.09.555775
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Uncertainty Quantification of Sea Waves - An Improved Approach

Abstract: Uncertainty Quantification -MethodologyWith the availability of the data shown in Table 1, the major challenge is to find an appropriate mathematical model. A literature review will indicate the joint probability density function (PDF) of T z and H s is generally represented as the

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Cited by 2 publications
(2 citation statements)
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“…It is widely acknowledged that lognormal for the conditional term and Weibull for the marginal distribution of Hs can provide a good fit e.g. [12]. This was also confirmed by the finding of this study on a specific location, in which Weibull and lognormal provide a better fit for the data as explained in Section 3.1.3 and 3.2.1.…”
Section: Joint Probability Distribution Of Wave Period and Amplitudesupporting
confidence: 85%
See 1 more Smart Citation
“…It is widely acknowledged that lognormal for the conditional term and Weibull for the marginal distribution of Hs can provide a good fit e.g. [12]. This was also confirmed by the finding of this study on a specific location, in which Weibull and lognormal provide a better fit for the data as explained in Section 3.1.3 and 3.2.1.…”
Section: Joint Probability Distribution Of Wave Period and Amplitudesupporting
confidence: 85%
“…A bivariate study is conducted by using the environmental contours to investigate the dependency of wave height and period. This is conducted because sea waves as important dynamic loads while highly uncertain can be better represented by joint distribution of wave period and height [12]. It should be noted that the environmental contours concept is based on defining the extreme condition [13].…”
Section: Introductionmentioning
confidence: 99%