#
# Data set for MSU Multi-Stage Fatigue Model v.2.2 (Academic Version)
#
model_tag= MSF2

# Fields in the data set
# material - Tag for material
# tag - Tag for data set
# source - Source of data set
# comment - Any other comment on data set
# Emod - Young's modulus [MPa]
# Syld - Yield stress [MPa]
# Sult - Ultimate Stress [MPa]
# SF - Schmid Effect due to grain orientation
# DCS0 - Reference grain size (microns)
# DCS - Grain size (microns)
# GMO0 - Reference grain Misorientation (units?)
# GMO - Grain Misorientation (units?)
# poresize - Pore size
# porennd - Pore nearest neighbor distance
# porosity - Porosity
# porTH - Porosity threshold
# partsize - Particle size average
# partdev - Particle size standard deviation
# NTYPE - Type of fatigue loading: 1=Crack length propagation, 2=Fatigue life
# MODEL - 1=Elastic, 2=Plastic
# NSPEC - No. of spectrum fatigue loads (0 for undetermined and crack length limit)
# NSAMP - 1=Strain, 2=Stress amplitude load
# excluded - Is dataset excluded? 0=no, 1=yes
# is_curve - Is dataset a curve only? 0=no, 1=yes
# experiment - (Stress/Strain/a, No. of Cycles)
# NFLOAD - Number of applied fatigue loads
# FLOAD - Fatigue loading [Nloadef, S, Smean or R, a, NCycles]
#
material= C93700
tag= C93700
source= C93700.data
comment= Atlas of Fatigue Curves
Emod= 75840
Syld= 126.4
Sult= 241.3
SF= 1
DCS0= 30
DCS= 30
GMO0= 30
GMO= 30
poresize= 500
porennd= 10
porosity= 0.002
porTH= 0.001
partsize= 30
partdev= 5
NTYPE= 2
MODEL= 2
NSPEC= 1
NSAMP= 1
excluded= 0
is_curve= 0
NFLOAD= 1
FLOAD= 1
2 0.003 0.04 0.1 100
experiment= 29
0.00300593 1.29235e+08
0.00368358 1.00057e+07
0.00370984 1.65003e+08
0.00372743 1.17565e+08
0.00372743 2.0122e+08
0.00479605 3.13328e+06
0.00529187 1.63766e+08
0.00530392 1.23635e+08
0.00540117 3.86965e+07
0.0059511 1.29419e+07
0.0060451 2.61349e+06
0.00607219 3.50504e+06
0.00607219 6.81933e+06
0.00800601 2.60433e+06
0.0116008 590942
0.0123538 1.18366e+06
0.0123538 1.5106e+06
0.0124037 1.00327e+06
0.0170592 316856
0.017092 401049
0.0171248 507614
0.024217 327809
0.0243048 377283
0.0243488 145194
0.0243929 262230
0.0244371 119063
0.031639 17071.7
0.0390652 22533.4
0.0411317 75047.2