PARAM_BASEVAR-class: Parametric Random Variable (PARAM_BASEVAR)

In TesiproV: Reliability Analysis Methods for Structural Engineering

Parametric Random Variable (PARAM_BASEVAR)

Description

Extends 'PROB_BASEVAR' so that one of the distribution parameters (Mean, Sd or DistributionType) can be **swept** over a user-defined vector of values.

Details

The method 'nextParam()' advances 'pos' (circularly) and updates the basic fields ('Mean', 'Sd', 'DistributionType', 'DistributionParameters') before calling 'prepare()' again. 'getCurrentParam()' returns the *last* value that was used (convenient for readable run names).

Fields

ParamValues

Numeric vector holding the values that will be assigned during the sweep.

ParamType

Which parameter is varied: '"Mean"', '"Sd"' or '"DistributionType"'.

pos

Current index inside 'ParamValues' (used internally).

Author(s)

(C) 2021-2026 K. Nille-Hauf, T. Feiri, M. Ricker, T. Lux – Hochschule Biberach (until 2022), TU Dortmund University - Chair of Structural Concrete (since 2023)

Examples

pvar <- PARAM_BASEVAR(
  Name = "E_mod",
  DistributionType = "norm",
  Sd = 3000,
  ParamType = "Mean",
  ParamValues = c(30e3, 35e3, 40e3)
)
pvar$getCurrentParam() # first value (30000), set by the constructor
pvar$nextParam()       # sets Mean = 35000 and prepares the distribution
pvar$getCurrentParam()

TesiproV documentation built on Oct. 28, 2026, 5:13 p.m.