Although the roller compaction process appears simple, efforts to quantitatively model the process have proven challenging because of complex material behavior in the feeding and compaction zones.
To help interpret the behavior of a complex material such as wood, a novelty of this study lies not only in combining ultrasonic and sclerometric nondestructive testing (NDT) methods so as to reduce measurement errors, but also in framing the outcomes from mechanical tests within the biological analysis of fungi detected on the timbers.
The mechanical response of the beams in three-point bending was computed using the finite element method, and the simulation results were in good agreement with the experimental data at both the microscopic and the macroscopic level, demonstrating the potential of this approach to simulate the fracture behavior of complex, heterogeneous materials.
While challenges related to image resolution and contrast complicate the characterization in specific cases, non-destructive 3D imaging with μCT is shown to contribute to the understanding of the link between the microstructure and the self-healing behavior of these complex materials.
This model, inheriting the merits of the neural network based models, can be employed to model the behavior of modern, complex materials such as composites.
It is shown that the proposed computational approach can be used alternatively to corresponding costly experiments in order to accurately evaluate the nonlinear constitutive behavior of such complex materials.
Mechanisms, processes, and behavior of complex systems present particular challenges.
However, more advanced cyclic plasticity models, capable of capturing complex material behavior under multiaxial non-proportional loadings, often require the determination of a large number of material constants from experimental data that are not always available to the analyst.
On the basis of these tests a complex material behavior model covering elastic and plastic material behavior for various stress states can be obtained.
Due to the complex behavior of the material, first a solution algorithm for the isotropic case is analyzed, then the procedure is extended to solving the more complex problem.
