ProbPipingBase

ProbPipingBase()

Base class for probabilistic piping calculations.

Attributes

Name	Type	Description
model_config	ConfigDict	Configuration for the pydantic model.
progress	bool	Flag to indicate if progress should be shown.
debug	bool	Flag to indicate if debug information should be printed.
rel_stochasts	RelevantStochasts	Relevant stochastic variables for different types of analyses.
piping_eq	PipingEquations	Piping equations to use for the calculations.

Methods

Name	Description
get_FORM_startpoint	Get the starting point for the FORM analysis.
prob_calculation	Perform a probabilistic calculation.
set_calc_options	Set calculation options for the optimization algorithm.

get_FORM_startpoint

ProbPipingBase.get_FORM_startpoint(distribution, otzfunc, method='slice')

Get the starting point for the FORM analysis.

Parameters

Name	Type	Description	Default
distribution	ot.ComposedDistribution	Distribution of the input variables.	required
otzfunc	ot.PythonFunction	OpenTURNS Python function representing the limit state function.	required
method	str	Method to determine the starting point, by default “slice”.	'slice'

Returns

Name	Type	Description
	list[float]	Starting point for the FORM analysis.

prob_calculation

ProbPipingBase.prob_calculation(
    h,
    z_type,
    z_func,
    settings,
    prob_input,
    copula=None,
    leave=True,
)

Perform a probabilistic calculation.

Parameters

Name	Type	Description	Default
h	float	Water level.	required
z_type	str	Type of the limit state function.	required
z_func	Callable	Limit state function.	required
settings	PipingSettings	Piping settings.	required
prob_input	ProbInput	Probabilistic input settings.	required
copula	ot.Distribution or None	Copula distribution, by default None.	None
leave	bool	If True, remove the progress bar, by default True	True

Returns

Name	Type	Description
	tuple[PipingSettings, ProbResult]	Updated settings and results.

set_calc_options

ProbPipingBase.set_calc_options(optimAlgo, calc_options, debug)

Set calculation options for the optimization algorithm.

Parameters

Name	Type	Description	Default
optimAlgo	ot.AbdoRackwitz or ot.Cobyla or ot.ProbabilitySimulationAlgorithm or ot.DirectionalSampling	The optimization algorithm instance to configure.	required
calc_options	dict of str to float or int	A dictionary containing the calculation options to set, where keys are option names and values are option values.	required
debug	bool	If True, print debug information about the options being set.	required

Returns

Name	Type	Description
	None