Method for in-situ determination of time-varying performance parameters of 3d-printed concrete materials

A method for in-situ determination of time-varying performance parameters of 3d-printed concrete materials, comprising following steps:

• S100:
• determining, based on a time-varying constitutive model constructed by a physics-informed neural network (PINN), the to-be-tested parameters, in which the to-be-tested parameters are configured to describe critical mechanical properties of the concrete materials during a time-varying process, proceeding to S200;
• S200:
• determining, based on the time-varying constitutive model and initial parameters, structural deformation results;
• S300:
• acquiring, by employing a binocular vision monitoring system based on stereo matching and disparity calculation, real-time 3D geometric data of concrete structures during a 3D printing process, generating and transmitting the real-time 3D point cloud data to obtain actual measured deformation data;
• and
• S400:
• optimizing, through inversion analysis based on comparison between structural deformation results computed in S200 and actual measured deformation data from S300, time-varying performance parameters, storing the time-varying performance parameters by inversion analysis, and iteratively proposing and refining a new time-varying constitutive model using a data-driven approach.