Study on Nonlinear Stochastic Process of Deck Slamming on Floating Offshore Platform

被引:0
作者
Nam, Hyun-Seung [1 ]
Kim, Yonghwan [2 ]
机构
[1] Korea Res Inst Ships & Ocean Engn, Offshore Platform Res Div, Daejeon 34103, South Korea
[2] Seoul Natl Univ, Dept Naval Architecture & Ocean Engn, Seoul 08826, South Korea
关键词
nonlinear stochastic process; deck slamming; slamming occurrence; Hermite-moment method; joint probability distribution;
D O I
10.3390/pr9020231
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In this paper, a semi-analytic method is introduced to predict the deck-slamming probability and corresponding loads. This method is based on a nonlinear statistical approach that takes into account the linear and second-order components of the relative wave elevation up to the second order. The linear and second-order wave elevation is assumed to be a two-term Volterra series. The joint probability density function of the relative wave elevation and velocity are formulated using the Hermite-moment method, and the probability distributions of the wave crest and relative wave velocity are calculated. These probability distributions are verified using the data sampled from the linear and second-order relative wave elevation. Based on this formulation, the probabilities of deck slamming and slamming-induced loads are estimated. This method is applied to a tension leg platform (TLP) model, and the effects of the second-order component of the relative wave elevation on the deck slamming are investigated.
引用
收藏
页码:1 / 18
页数:18
相关论文
共 28 条
[1]  
American Bureau of Shipping, 2018, AIR GAP WAV IMP AN S
[2]   OUTPUT PROPERTIES OF VOLTERRA SYSTEMS (NONLINEAR SYSTEMS WITH MEMORY) DRIVEN BY HARMONIC AND GAUSSIAN INPUTS [J].
BEDROSIAN, E ;
RICE, SO .
PROCEEDINGS OF THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, 1971, 59 (12) :1688-+
[3]   Wave-in-deck loads on exposed jetties [J].
Cuomo, Giovanni ;
Tirindelli, Matteo ;
Allsop, William .
COASTAL ENGINEERING, 2007, 54 (09) :657-679
[4]  
Det Norske Veritas, 2017, STRUCT DES OFFSH UN
[5]  
Det Norske Veritas, 2010, RECOMMENDED PRACTICE
[6]  
Forristall GZ, 2000, J PHYS OCEANOGR, V30, P1931, DOI 10.1175/1520-0485(2000)030<1931:WCDOAS>2.0.CO
[7]  
2
[8]   Analysis and simulation tools for wind engineering [J].
Gurley, KR ;
Tognarelli, MA ;
Kareem, A .
PROBABILISTIC ENGINEERING MECHANICS, 1997, 12 (01) :9-31
[9]   AN EXPLICIT REPRESENTATION OF A STATIONARY GAUSSIAN PROCESS [J].
KAC, M ;
SIEGERT, AJF .
ANNALS OF MATHEMATICAL STATISTICS, 1947, 18 (03) :438-442
[10]  
Kaplan P, P 14 INT C OFFSH MEC