According to the multi-parameter monitoring method and device for the material stress
corrosion test, the flow rate, temperature and
ion concentration of corrosive liquid are adjusted in real time through closed-
loop control, and the real service environment of a material is simulated; in combination with a constant
strain rate and
constant load mixed loading mode, loading parameters are dynamically adjusted according to material failure and environment change, and the behavior of deviating from real failure is avoided. Electrochemical, mechanical and
corrosion environment data are synchronously collected, a
ridge regression
algorithm is utilized to fuse multi-
modal features, a Granger causal test and
mutual information entropy are combined to analyze a
corrosion-mechanical-environment interaction effect, and early-stage tiny damage is captured. And calculating the number of residual cycles, generating a three-dimensional probability cloud picture to quantify a
failure risk level, and realizing dynamic regulation and control through a grading strategy instead of traditional fixed threshold judgment. According to the method, the real-time performance, the reliability and the
automation level of stress
corrosion testing are remarkably improved, and a systematic solution is provided for deep exploration of a material
failure mechanism in a complex service environment.