The present application relates to the technical field of material dynamic
mechanical property testing, and discloses a self-adaptive Hopkinson bar experimental parameter real-time regulation method and
system, which comprises the following steps: obtaining
incident wave signals, reflected wave signals and transmitted wave signals; denoising the
incident wave signals to obtain denoised waveforms; loading the denoised waveforms into a finite
element model to perform transient dynamics calculation to obtain a simulated response set, and combining a dispersion equation model analysis to obtain a geometric dispersion
delay spectrum; reconstructing a simulated distorted waveform from the geometric dispersion
delay spectrum and calculating a constitutive matrix; loading the constitutive matrix into the finite
element model to obtain a time-domain response sequence, combining a regression
model prediction to obtain a comprehensive
distortion prediction, and predicting a preliminary compensation amount through a neural
network model; calculating an initial
strain rate, correcting the preliminary compensation amount to obtain a corrected compensation amount, using the corrected compensation amount to perform
distortion compensation, calculating a feedback
strain rate, combining a constant
strain rate to verify a strain rate deviation, and realizing a constant sample strain rate. The
present method can realize constant sample strain rate.