Accurately determining and comparing failure strain between physical tests and simulations is a vital part of material calibration, validation, and iterative improvement of constitutive models. 

Below image illustrates a single test (black) that requires to be compared with several simulations with varying degrees of correlation. Picking the simulation that best matches the test is critical to finding the optimum simulation parameters.

d3VIEW simplifies this comparison between a test and a simulation with the newly created worker *DATASET_COMPUTE_FAILURE_STRAIN_ERROR worker, which automates failure strain detection for both Reference and Simulation datasets and then computes the error metrics between them.

This worker plays a key role in polymer calibration workflows, metals regularization workflows, and any pipeline that requires comparison of strain-to-failure between test and simulation.

The *DATASET_COMPUTE_FAILURE_STRAIN_ERROR worker requires a Reference and a Simulation Dataset. Depending on the failure type detection such as strain or eroded-energy, the failure time and the percentage of differences will be reported. Below is an example of a computed failure error values that is often used in mesh-regularization.

 

 
The worker is instrumental and is regularly used in several workflows to calibrate Polymers, Metals, and to track the improvement of calibration over several iterations.

In summary, by providing robust error metrics, it enables engineers to make data-driven decisions, accelerate calibration cycles, and ensure accurate material behavior representation.