|1||Work package number:||WP2|
|2||Work package title:||Determination of material constitutive relations for 3D printed metal and concrete specimens, using also recycled consumables, by means of tests and machine learning|
|5||Objectives:||The main objective of WP2 is to define the material constitutive relations that need to be introduced in the optimization runs carried out in the following WPs, for this reason both conventional and recycled consumables will be considered. Machine learning (ML) will be used to define the material constitutive relations using two different approaches. In order to justify that the structural capacity of the 3D printed specimens is in compliance with the one predicted numerically and develop the basis to train the ML techniques, experimental testing will also be performed in WP2.|
|6||Description of Work:|| |
Experimental tests of the 3D printed specimens will be carried out first in WP2. The choice of the material constitutive law and the determination of its parameters will be made from these experimental tests. The major difficulty encountered is that there will be limited experimental tests. Subsequently, an inverse analysis will then be considered.