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Safety of maritime operations - loads and responses.

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Presentation on theme: "Safety of maritime operations - loads and responses."— Presentation transcript:

1 Safety of maritime operations - loads and responses.
Igor Rychlik

2 Outline of presentation
Introduction Marine research in Chalmers Environmental loads Modelling significant wave height Wave loads (Gaussian & non-Gaussian) WAFO Responses (Linear & non-Linear) Risk for capsizing Ongoing projects

3 Marine research in Chalmers (SMT) Group of Jonas Ringsberg
Mathematical Sciences cooperate within I & IV.

4 Researches on environmental models
Models of Sea state variability Model for the mean value of Hs  = 2/365.2 ; Xt(p) = ln(Hs(p)); p=(p1,p2), position; t – time. Model for the covariance function of X(p,t) and encountered Hs; z(t)=X(p(t),t). Application: Estimates of 100-year Hs

5 Simulation of encountered Hs:
2/24/20192/24/2019

6 Wave loads and responses
Fatigue and extreme responses Wave loads (Gaussian & Second order model) Structural responses linear, quadratic filters Gaussian and non-Gaussian input Goal: Estimation of design values (extreme) and fatigue life Uncertainty analysis

7 Ongoing projects (1) No.1: fatigue routing and extreme estimation

8 Ongoing projects (2) Investigate crossing of quadratic responses with Laplace Moving Average excitation Thomas Galtier, joint PhD student Chalmers and UBS Vannes. IFREMER

9 Ongoing projects (3) Investigation of fatigue in ship details and estimation of extreme responses Non-Gaussian stress models (spectrum, skewness, kurtosis) Structural analysis and stochastic models gives parametric function of operation conditions

10 Ongoing projects (4) Chasing uncertainties
Uncertainties in material related parameters Chaos expansion for parameters in models (wave loads and responses) Variability of load condition For North Atlantic DNV uses 3 parameter Weibul model The DNV model gives about 50% smaller expected damage per sea state then observed. Another methods are needed. We use more detailed model for Hs variability, presented before.

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