plotGpdot: Gp_t_dot vs Gpp_t_dot

In oreo: Large Amplitude Oscillatory Shear (LAOS)

Description

create Gp_t_dot vs Gpp_t_dot

create Gp_t_dot vs Gpp_t_dot

Usage

plotGpdot(Gp_t_dot, Gpp_t_dot, ...)

plotGpdot(Gp_t_dot, Gpp_t_dot, ...)

Arguments

Gp_t_dot	from the output matrix from fft analysis or numerical differentiation analysis
Gpp_t_dot	from the output matrix from fft analysis or numerical differentiation analysis
...	parameters of plot()

Value

No return value

No return value

Author(s)

Giorgio Luciano and Serena Beretta, based on the Plotting functions created by Simon Rogers Group for Soft Matter

Giorgio Luciano and Serena Beretta, based on the Plotting functions created by Simon Rogers Group for Soft Matter

References

Simon A. Rogersa, M. Paul Letting, A sequence of physical processes determined and quantified in large-amplitude oscillatory shear (LAOS): Application to theoretical nonlinear models Journal of Rheology 56:1, 1-25

Simon A. Rogersa, M. Paul Letting, A sequence of physical processes determined and quantified in large-amplitude oscillatory shear (LAOS): Application to theoretical nonlinear models Journal of Rheology 56:1, 1-25

Examples

 data(mydata)
df <- rpp_read2(mydata , selected=c(2, 3, 4, 0, 0, 1, 0, 0))
time_wave <- df$raw_time
resp_wave <- data.frame(df$strain,df$strain_rate,df$stress) 
out <- Rpp_num(time_wave, resp_wave , L=1024, k=8, num_mode=1)
Gp_t_dot= out$spp_data_out$Gp_t_dot
Gpp_t_dot= out$spp_data_out$Gpp_t_dot
plotGpdot(Gp_t_dot,Gpp_t_dot)

oreo documentation built on March 11, 2021, 1:07 a.m.