Long-term stochastic extreme response analysis of floating bridges

被引:4
作者
Giske, Finn-Idar Grotta [1 ,2 ]
Leira, Bernt Johan [1 ]
Oiseth, Ole [3 ]
机构
[1] NTNU, Dept Marine Technol, N-7491 Trondheim, Norway
[2] Multiconsult, Nedre Skoyen Vei 2, N-0213 Oslo, Norway
[3] NTNU, Dept Struct Engn, N-7491 Trondheim, Norway
来源
X INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS (EURODYN 2017) | 2017年 / 199卷
关键词
floating bridge; pontoon; extreme response; long-term response; stochastic processes; IFORM; ISORM;
D O I
10.1016/j.proeng.2017.09.305
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
For the assessment of extreme responses needed in design of marine structures, a full long-term analysis is recognized as the most accurate approach. However, due to the very large number of structural response analyses traditionally needed for this approach, the computational effort is usually considered to increase above acceptable levels for complex structures such as floating bridges. This paper shows that the first and second order reliability methods (FORM and SORM) found in connection with structural reliability analysis can be used in an inverse manner to efficiently obtain approximate solutions for the full long-term extreme response of structures subjected to environmental loads, and this is demonstrated for floating bridges. Very accurate results are obtained using a limited number of short-term response calculations, and by applying a fast calculation method for the short-term stochastic response, full long-term extreme responses are calculated for two different pontoon floating bridges. (C) 2017 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:1175 / 1180
页数:6
相关论文
共 14 条
[1]  
Barstow S.F. etal, 2005, Measuring and Analysing the Directional Spectrum of Ocean Waves
[2]  
DNV, 2014, SESAM US MAN WAD WAV
[3]  
Giske F.-I. G., 2017, APPL OCEAN RES
[4]  
Giske F.-I. G., 2016, PROC 19 C IABSE CHAL, P48
[5]  
Giske F.-I. G., 2017, PROB ENG MECH UNPUB
[6]  
Giske F.-I. G., 2017, OMAE2017 UNPUB
[7]  
Haver S., 2004, ASME 2004 23rd International Conference on Offshore Mechanics and Arctic Engineering, P337, DOI DOI 10.1115/OMAE2004-51157
[8]   Modelling the stochastic dynamic behaviour of a pontoon bridge: A case study [J].
Kvale, Knut Andreas ;
Sigbjornsson, Ragnar ;
Oiseth, Ole .
COMPUTERS & STRUCTURES, 2016, 165 :123-135
[9]  
Kvåle KA, 2014, EURODYN, P2921
[10]   ON THE LONG-TERM STATISTICS OF EXTREMES [J].
NAESS, A .
APPLIED OCEAN RESEARCH, 1984, 6 (04) :227-228