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OrcaFlex Manual - Orcina

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73<br />

User Interface, Results<br />

remain, so you can adjust the model and re-run the simulation and the graphs will then be redrawn. Graphs are<br />

automatically deleted if the object that they refer to is removed, for example by loading a new model.<br />

Range Jump Suppression<br />

Just as it does for Time History and XY Graphs, <strong>OrcaFlex</strong> applies range jump suppression for range graphs of angles.<br />

3.9.10 Offset Graphs<br />

These graphs are available only after a multiple statics calculation has been done and only for the offset vessel. The<br />

following variables are plotted against offset distance:<br />

Restoring Force<br />

The magnitude of the horizontal component of the total force applied to the vessel by the attached Lines or other<br />

objects. Note that this force is not necessarily in the offset direction.<br />

Vertical Force<br />

The vertically downwards component of the total force applied to the vessel by the attached Lines or other objects.<br />

Yaw Moment<br />

The moment, about the vertical, applied to the vessel by the attached Lines or other objects.<br />

Worst Tension<br />

The largest tension in any segment of any Line connected to the vessel.<br />

To obtain an Offset Graph:<br />

� Select Offset Graph on the Results form.<br />

� Select the offset vessel.<br />

� Select the offset direction required.<br />

� Select the variable required.<br />

� CLICK the Graph button.<br />

3.9.11 Spectral Response Graphs<br />

These graphs are available only if you have run a response calculation wave. The graph is only available once the<br />

simulation has been completed.<br />

The graph plots the calculated RAO for the selected variable on the Y axis and wave frequency on the X axis.<br />

To obtain a Spectral Response Graph:<br />

� Select Spectral Response Graph on the Results form.<br />

� Select the object required.<br />

� Select the variable required (see Selecting Variables). More than one variable can be selected.<br />

� CLICK the Graph button.<br />

3.9.12 Extreme Value Statistics Results<br />

There is often a requirement to predict the extreme responses of a system, for example to determine the likelihood<br />

of a load exceeding a critical value that may lead to failure. Such values are needed when using standards such as<br />

DNV-OS-F201 and API RP 2SK.<br />

<strong>OrcaFlex</strong> can estimate extreme values for any given result variable by analysing the simulated time history of the<br />

variable using extreme value statistical methods. You may, for instance, perform a mooring analysis in an irregular<br />

sea-state and then estimate the maximum mooring line tension for a 3-hour storm.<br />

The statistical theory for this estimation is well-established and is described in the theory section. The procedure is<br />

essentially this:<br />

� You select the statistical distribution to be used to model the distribution of extremes. See Data below.<br />

� <strong>OrcaFlex</strong> estimates the distribution model parameters that best fit the simulation time history of the variable.

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