op3.anchors.AnchorCapacityResult

class op3.anchors.AnchorCapacityResult(method: str, H_ult_kN: float, V_ult_kN: float, T_ult_kN: float, load_angle_deg: float, interaction_exponents: tuple, interaction_envelope: DataFrame, depth_profile: DataFrame, alpha_outer: float, alpha_inner: float, metadata: dict = <factory>)[source]

Bases: object

Unified return type for every capacity method.

method

Name of the capacity method that produced this result.

Type:: str

H_ult_kN

Ultimate horizontal capacity at the current padeye depth.

Type:: float

V_ult_kN

Ultimate vertical (uplift) capacity assuming a plugged failure (outer + inner friction + reverse end-bearing).

Type:: float

T_ult_kN

Ultimate inclined tension at the applied load_angle_deg obtained by scaling a unit load vector until it meets the V-H envelope of the parent method.

Type:: float

load_angle_deg

Load angle used for T_ult_kN.

Type:: float

interaction_exponents

(a, b) in (H/H_ult)^a + (V/V_ult)^b = 1.

Type:: tuple[float, float]

interaction_envelope

Columns H_kN, V_kN describing the V-H envelope at 36 evenly-spaced load angles 0..90 deg.

Type:: pd.DataFrame

depth_profile

Columns depth_m, su_kPa, Np, dH_per_m_kN_per_m. Used for visualisation and Op3 Mode D dissipation comparison.

Type:: pd.DataFrame

alpha_outer

Outer skin-friction adhesion factor used.

Type:: float

alpha_inner

Inner skin-friction adhesion factor used.

Type:: float

metadata

Free-form extra fields (e.g. FE file path, N_p table tag).

Type:: dict

__init__(method: str, H_ult_kN: float, V_ult_kN: float, T_ult_kN: float, load_angle_deg: float, interaction_exponents: tuple, interaction_envelope: DataFrame, depth_profile: DataFrame, alpha_outer: float, alpha_inner: float, metadata: dict = <factory>) → None

Methods

`__init__`(method, H_ult_kN, V_ult_kN, ...)
`factor_of_safety`(applied_kN)	Ratio T_ult / T_applied at the method's load angle.

Attributes

`method`
`H_ult_kN`
`V_ult_kN`
`T_ult_kN`
`load_angle_deg`
`interaction_exponents`
`interaction_envelope`
`depth_profile`
`alpha_outer`
`alpha_inner`
`metadata`

H_ult_kN: float

T_ult_kN: float

V_ult_kN: float

alpha_inner: float

alpha_outer: float

depth_profile: DataFrame

factor_of_safety(applied_kN: float) → float[source]: Ratio T_ult / T_applied at the method’s load angle.

interaction_envelope: DataFrame

interaction_exponents: tuple

load_angle_deg: float

metadata: dict

method: str