| plotStressStrain {oreo} | R Documentation |
Stress-Strain plot
Description
create Stress Strain Plot
create Stress Strain Plot
Usage
plotStressStrain(stress, strain, strain_in, stress_in, ...)
plotStressStrain(stress, strain, strain_in, stress_in, ...)
Arguments
stress |
data the output matrix from fft analysis or numerical differentiation analysis |
strain |
data the output matrix from fft analysis or numerical differentiation analysis |
strain_in |
data the input matrix from fft analysis or numerical differentiation analysis |
stress_in |
data the input 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)
strain= out$spp_data_out$strain
stress= out$spp_data_out$stress
strain_in= out$spp_data_in$strain
stress_in= out$spp_data_in$stress
plotStressStrain(stress, strain,strain_in,stress_in)