ProbPipingFixedWaterlevel

ProbPipingFixedWaterlevel()

Class for probabilistic piping calculations with a fixed water level.

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
fixed_waterlevel_failureprobability	Calculate the failure probability for a fixed water level.
fixed_waterlevel_fragilitycurve	Calculate the fragility curve for a fixed water level.
fixed_waterlevel_semiprob	Perform semi-probabilistic calculations for a constant water level.
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.

fixed_waterlevel_failureprobability

ProbPipingFixedWaterlevel.fixed_waterlevel_failureprobability(
    prob_input,
    h=None,
    settings=None,
    z_type='sellmeijer',
    copula=None,
    leave=True,
)

Calculate the failure probability for a fixed water level.

Parameters

Name	Type	Description	Default
prob_input	ProbInput	Probabilistic input settings.	required
h	float or None	Water level, by default None.	None
settings	PipingSettings or None	Piping settings, by default None.	None
z_type	str	Type of the limit state function, by default “sellmeijer”.	'sellmeijer'
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	Updated settings and results of the failure probability calculations.

fixed_waterlevel_fragilitycurve

ProbPipingFixedWaterlevel.fixed_waterlevel_fragilitycurve(
    prob_input,
    hlist=None,
    settings=None,
    z_type='sellmeijer',
    copula=None,
)

Calculate the fragility curve for a fixed water level.

Parameters

Name	Type	Description	Default
prob_input	ProbInput	Probabilistic input settings.	required
hlist	list of float or None	List of water levels, by default None.	None
settings	PipingSettings or None	Piping settings, by default None.	None
z_type	str	Type of the limit state function, by default “sellmeijer”.	'sellmeijer'
copula	ot.Distribution or None	Copula distribution, by default None.	None

Returns

Name	Type	Description
	tuple	Updated settings and results of the fragility curve calculations.

fixed_waterlevel_semiprob

ProbPipingFixedWaterlevel.fixed_waterlevel_semiprob(
    prob_input,
    settings=None,
    h=None,
)

Perform semi-probabilistic calculations for a constant water level.

Parameters

Name	Type	Description	Default
prob_input	ProbInput	Probabilistic input settings.	required
settings	PipingSettings or None	Piping settings, by default None.	None
h	float or None	Water level, by default None.	None

Returns

Name	Type	Description
	pd.DataFrame	DataFrame containing the results of the calculations.

get_FORM_startpoint

ProbPipingFixedWaterlevel.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

ProbPipingFixedWaterlevel.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

ProbPipingFixedWaterlevel.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