Gaussian Analysis of an Irregular Wave Impact on Deck

Author(s):  
Ravikiran S. Kota ◽  
Torgeir Moan

Level-crossing analysis of long-crested, Gaussian waves in space and time are studied in the context of wave loads on a fixed, horizontal deck-box above mean waterline. Vertical wave loads on decks due to insufficient airgap are a major concern for many in-service platforms. Reliable estimation of magnitude and duration of these loads is important in assessing structural and global response of an offshore platform. In the case of an irregular wave-impact on a flat deck of dimensions comparable to mean wavelength of the incident waves, both temporal and spatial variability of wave-kinematics need to be considered during the deck-wetting process. In the present study, we have used a multidimensional Gaussian formulation of incident wave-kinematics to derive a joint probability density function of deck-wetting (or exceedance) duration and its spatial extent. We have also derived a probability density function for initial slam force on deck. A numerical scheme for simulating wave-impact events on a two-dimensional deck is discussed, results from which are compared against corresponding analytical estimates. Vertical force on deck was estimated using the momentum method, which includes a von Kármán slamming model applied over the wetted-length determined from an undisturbed wave profile.

2020 ◽  
Vol 43 (1) ◽  
pp. 3-20
Author(s):  
Mohammad Bolbolian Ghalibaf

Mutual information (MI) can be viewed as a measure of multivariate association in a random vector. However, the estimation of MI is difficult since the estimation of the joint probability density function (PDF) of non Gaussian distributed data is a hard problem. Copula function is an appropriate tool for estimating MI since the joint probability density function ofrandom variables can be expressed as the product of the associated copula density function and marginal PDF’s. With a little search, we find that the proposed copulas-based mutual information is much more accurate than conventional methods such as the joint histogram and Parzen window-based MI. In this paper, by using the copulas-based method, we compute MI forsome family of bivariate distribution functions and study the relationship between Kendall’s tau correlation and MI of bivariate distributions. Finally, using a real dataset, we illustrate the efficiency of this approach.


1970 ◽  
Vol 109 (3) ◽  
pp. 11-16 ◽  
Author(s):  
D. S. Krstic ◽  
P. B. Nikolic ◽  
M. C. Stefanovic ◽  
F. Destovic

In this paper the probability density function of the Switch and Stay Combiner (SSC) output signal at one time instant and the joint probability density function of the SSC combiner output signal at two time instants, in the presence of log-normal fading, are determined in the closed form expressions. The results are shown graphically for different variance values and decision threshold values. If the digital telecommunication systems work on the manner described in this paper, the error probability will be significantly reduced. Ill. 6, bibl. 24 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.109.3.161


Author(s):  
In Seob Hong ◽  
Adrian Connolly

The tolerance limit approach has been internationally adopted for nuclear safety analyses as a way of identifying more realistic safety limits in the Best Estimate Plus Uncertainty (BEPU) methodology. The approach is based on the Wilks’ formula set suggested by the GRS (Gesellschaft fu¨r Anlagen-und Reaktorsicherheit), and consists of two approaches; one-sided approach to obtain a statistical meaning of the maximum output value in the multiple code runs, and two-sided approach for the minimum and maximum values at the same time. The Wilks’ formula set suggested by the GRS has been employed without questioning any ambiguities in its true meaning, especially in the two-sided approach. In this paper, the formula set is derived based on the binomial distribution as a direct vehicle to the formulas for clarification purposes. This approach is distinguished from the present integral form of the original Wilks’ formula in that it is based on the probability density function and the joint probability density function associated with the order statistics. The purposes of this paper are to derive the true meanings of the present Wilks’ formulas, which are applied in the nuclear safety analysis, and to derive a new set of formulas to determine statistically meaningful minimum number of code runs in the BEPU. An improved formula set, which consists of the Generalized Maximum Tolerance Limit (GMTL) and the Generalized Max-Mini Tolerance Limit (GMMTL), is proposed with an emphasis on a new form of the two-sided formula: Centered Two-sided Tolerance Limit (CTTL) formula, which is directly derived from the GMMTL formula. For example, a minimum number of 146 code runs is suggested in lieu of the present 93 code runs to achieve the 95th percentile with 95% confidence in the two-sided approach.


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