Assessing the harmfulness of defects based on images is becoming more and more common in industry. Today these defects can be insert in digital twins that aim to replicated in a mechanical model what is observed on a component. We propose a methodology for defect classification and defect labeling in view of fast prediction of their harmfulness by ...
Defects such as gas pores can be formed and trapped in the fusion zone during laser welding. These defects can affect significantly the mechanical reliability of the welded joint. Current non-destructive inspection technologies are able to detect micro-voids in a mass production context. Finite Element Analysis can therefore be used to assess the l...
This research considers the offline training stage of the Reduced Order Models (ROM), that has been getting attention recently on the endeavor to come up with efficient solutions for the highly complex numerical models. In this work, a simply supported beam problem has been considered, for which a reduced basis creation has been investigated. Reduc...
Numerical simulations have become an essential part of design in every field of engineering, and the boundaries of technology are pushed further out every year. In structural engineering, the desire to design structures that have complex shapes or that are simply cheaper and more efficient, has necessitated the use of complex numerical simulations....
A Reduced Order Model (ROM) is developed that can accurately predict the elastoplastic simulations for practical applications. Non-linear solid mechanics problems are computationally expensive because of (i) large numbers of Degrees Of Freedom (DOFs), (ii) large numbers of quadrature points that must be visited at each iteration to construct the fo...
Most engineering applications involving solutions by numerical methods are dependent on several parameters, whose impact on the solution may significantly vary from one to the other. At times an evaluation of these multivariate solutions may be required at the expense of a prohibitively high computational cost. In the present work, a multivariate f...
Proper Orthogonal Decomposition (POD) allows to compress information by identifying the most energetic modes obtained from a database of snapshots. In this work, POD is used to predict the behavior of compressible flows by means of global and local approaches which exploit some features of a discontinuous Galerkin spatial discretization. The presen...
The computation time needed to compute modes remains the main drawback of modal methods. This computation time can be reduced by using the sub structuring modal method. First of all, the model is divided into elementary entities, and modes of each entity are independently computed. In order to solve the original problem, only specific modes are cho...
In proton therapy, the calculation of the dose distribution is of great importance in order to find the best treatment plan. For a treatment plan with high quality, several error scenarios are investigated, in order to come up with a general plan that suits best in these scenarios. All of the scenarios have a different simulated error, e.g., in pat...
The advent of Virtual Testing and industry's willingness for hyper fine structural optimization impose technical constraints for computational mechanics community. Optimize mechanical criterion for a turbine blade with classical techniques costs around months of CPU computation. To handle this issue, many cost-killer methods have been developed and...
