Despite the existence of computationally efficient tools, the effort for parametric
investigations is currently high in industry. In this paper, within the context of Li-Ion batteries …

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 …

The bending stiffness, torsional stiffness, and low-order modal frequencies of the body-in-
white (BIW) are crucial factors in structural lightweight design. This paper introduces a BIW …

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 …

This study undertakes the analysis of collision scenario using a car model with a dummy and
airbags, in the event of a direct collision with a hard wall, one of the necessary studies of …

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 …

The aim of this article is to discuss the application of multi-task regression (MTR) in multi-
objective optimization of automobile crashworthiness and lightweight. The applicability of …