simbase {WoodSimulatR}

Predefined simbases in WoodSimulatR

Description

Predefined simbases in WoodSimulatR

Usage

ws_t
 ws_t_tr
 ws_t_te
 ws_t_logf
 ws_t_tr_logf
 ws_t_te_logf
 ws_be
 ws_be_tr
 ws_be_te
 ws_be_logf
 ws_be_tr_logf
 ws_be_te_logf

Format

For statistical simulation of datasets in WoodSimulatR, one needs a simbase_covar object. WoodSimulatR contains a set of such predefined simbases for Norway spruce (Picea abies) grown in Austria.

The names of the simbases follow the following schema – the different parts are separated by "_":

• "ws" – abbreviation of "WoodSimulatR simbase"

• loadtype – can either be "t" for material tested in tension, or "be" for material tested in bending

• subsample – empty for the full dataset, "tr" for the part of the dataset that was used for training, "te" for the part that was used for testing. The latter two can be used to more closely simulate independent training and test samples

• transformation – empty for no transformation, "logf" if the strength has been log-transformed prior to calculation of the simbase – see also the argument transforms in simbase_covar.

The simbases contain the basis for simulating the following variables:

f

Bending or tension strength, in N/mm².

E

Static modulus of elasticity in bending or tension, in N/mm².

rho

Density of a small clear sample, in kg/m³.

E_dyn

Dynamic modulus of elasticity of the timber after drying to a moisture content of about 12%, in N/mm².

E_dyn_u

Dynamic modulus of elasticity of the timber in the green state, with moisture contents mostly above fibre saturation point, in N/mm².

ip_rho

An "indicating property" (IP) for density, established by measuring the weight of each board and dividing by its volume, in kg/m³.

ip_f

An "indicating property" (IP) for strength, established by linear regression on E_dyn, ip_rho and a knot parameter called "total knot area ratio" (tKAR), in N/mm².

Source

The simbases were created based on data from the research project SiOSiP of Holzforschung Austria. "SiOSiP" is short for "simulation-based optimization of sawn timber production" and ran from 2014 to 2017.