Test-Simulation Dialogue: What Gain Can We Expect From Data Fusion in Solid Mechanics?

The traditional approach to mechanical testing and numerical simulation is to perform the two activities separately. However, this approach can be inefficient and time-consuming. In recent years, there has been growing interest in the use of data fusion to improve the test-simulation dialogue. Data fusion is the process of combining data from multiple sources to create a more complete and accurate representation of reality. In the context of mechanical testing and numerical simulation, data fusion can be used to combine data from experiments, simulations, and other sources.

Data fusion can improve the accuracy of simulation results, reduce the cost of testing and simulation, and increase the efficiency of the design process. The use of data fusion in solid mechanics is still in its early stages, but it has the potential to revolutionize the way that mechanical testing and numerical simulation are performed. This presentation will discuss the potential gains that can be expected from data fusion in solid mechanics and the challenges that need to be addressed to realize these gains.