The structural performance of a vertebra can be significantly undermined if it develops a
tumour, that could even lead to the vertebra's structural collapse. In cancers with a high …

Many engineering systems can be described by using differential models whose solutions,
generally obtained after discretization, can exhibit a noticeable deviation with respect to the …

Knowing the thermo-mechanical history of a part during its processing is essential to master
the final properties of the product. During forming processes, several parameters can affect …

This paper presents an advanced meta-modeling framework that efficiently combines
Machine Learning and Model Order Reduction (MOR) techniques for real-time virtual testing …

Soil-filled wire and geotextile gabions stand as vital bulwarks in military bases, harnessing
soil's innate capacity to absorb shock and safeguard both personnel and critical assets from …

Due to the growing trend towards miniaturization, small-scale manufacturing processes
have become widely used in various engineering fields to manufacture miniaturized …

In the context of hybrid twins, a data-driven enrichment is added to the physics-based
solution to represent with higher accuracy the reference solution assumed to be known at …

In the present work, a new methodology is proposed for building surrogate parametric
models of engineering systems based on modular assembly of pre-solved modules. Each …

Trajectory planning aims at computing an optimal trajectory through the minimization of a
cost function. This paper considers four different scenarios:(i) the first concerns a given …

In the 20th century, engineering made remarkable strides in various fields, while other
disciplines turned to data for diagnostic and prognostic purposes. Recognizing the potential …