ISSC Technical Committee II.1 - Quasi-Static Response
Paper i proceeding, 2018
(COMMITTEE MANDATE) Concern for the quasi-static response of ships and offshore structures, as required for safety and serviceability assessments. Attention shall be given to uncertainty of calculation models for use in reliability methods, and to consider both exact and approximate methods for the determination of stresses appropriate for different acceptance criteria.
quasi-static response
extreme load
IMO Goal-Based Standards
strength assessment
corrosion
Benchmark study
IACS Common Structural Rules
fatigue assessment
stress response calculation
offshore structures
residual strength
load modelling
uncertainty analysis
probabilistic approach
optimisation
direct calculations
impact loads
experiments and testing
finite element analysis
structural integrity
reliability analysis
ship structures
class rule-related software
Författare
Jonas Ringsberg
Chalmers, Mekanik och maritima vetenskaper, Marin teknik
Beom-Seon Jang
Seoul National University
Svein Erling Heggelund
DNV Netherlands
Nanne Homma
Bureau Veritas
Jasmin Jelovica
University of British Columbia (UBC)
Yun-Tzu Huang
CSBC Corporation
Jerolim Andric
Sveučilište u Zagrebu
Yasumi Kawamura
Yokohama National University
Paul Lara
Naval Surface Warfare Center
Matteo Sidari
Fincantieri
James Underwood
BMT Group
Jun Wang
China Ship Scientific Research Centre (CSSRC)
Deqing Yang
Shanghai Jiao Tong University
Proceedings of The 20th International Ship and Offshore Structures Congress (ISSC 2018)
Vol. 1 171-253
978-1-61499-862-4 (ISBN)
The 20th International Ship and Offshore Structures Congress (ISSC 2018)
Liege / Amsterdam, ,
Liege / Amsterdam, ,
Chalmers styrkeområde Transport – finansiering 2018
Chalmers, 2018-01-01 -- 2018-12-31.
Ämneskategorier (SSIF 2011)
Maskinteknik
Materialteknik
Drivkrafter
Hållbar utveckling
Innovation och entreprenörskap
Styrkeområden
Transport
Building Futures (2010-2018)
Produktion
Materialvetenskap
Fundament
Grundläggande vetenskaper
Infrastruktur
C3SE (-2020, Chalmers Centre for Computational Science and Engineering)
DOI
10.3233/978-1-61499-862-4-171