MonteCarloResult

Monte Carlo realizations of the long-term capacity.

Usage

MonteCarloResult(
    ltc,
    shaft,
    toe_eod,
    bias,
    dphi,
    crr_multiplier,
    top_phi,
    elevation,
    phi_quantiles,
    converged,
    percentiles=(5, 25, 50, 75, 95),
)

Attributes

ltc: ndarray: Long-term capacity per realization, kips.
shaft: ndarray: Long-term shaft resistance per realization, kips.
toe_eod: ndarray: End-of-drive toe resistance per realization, kips.
bias: ndarray: Capacity-formula bias drawn per realization.
dphi: ndarray: Shift of the friction angle correlation line drawn per realization, deg.
crr_multiplier: ndarray: Multiplier on the cyclic resistance ratio drawn per realization.
top_phi: ndarray: Top-segment friction angle drawn per realization, deg.
elevation: ndarray: Elevation of each foot of the analysis grid, ft.
phi_quantiles: ndarray: Friction angle percentiles 5, 25, 50, 75 and 95 per foot, shape (n_feet, 5).
converged: bool: True if the stopping criterion was met before the realization limit.

Attributes

Name	Description
n	Number of realizations.

n

Number of realizations.

n: int

Methods

Name	Description
mean_ci()	Mean long-term capacity and its confidence half-width, kips.
plot_ltc()	Plot the distribution of long-term capacity.
quantiles()	Quantiles of the long-term capacity.

mean_ci()

Mean long-term capacity and its confidence half-width, kips.

Usage

Source

mean_ci(z=1.96)

plot_ltc()

Plot the distribution of long-term capacity.

Usage

Source

plot_ltc(ax=None)

quantiles()

Quantiles of the long-term capacity.

Usage

Source

quantiles(q)

Parameters

q: float or array_like: Probabilities in [0, 1].

Returns

ndarray: Capacity at each probability, kips.