scispace - formally typeset
F

Fatima Daim

Researcher at ESI Group

Publications -  8
Citations -  121

Fatima Daim is an academic researcher from ESI Group. The author has contributed to research in topics: Parametric statistics & Statistical model. The author has an hindex of 3, co-authored 8 publications receiving 99 citations.

Papers
More filters
Journal ArticleDOI

Non incremental strategies based on separated representations: applications in computational rheology

TL;DR: This paper proposes a separated representation of transient models leading to a non-incremental strategy, allowing impressive CPU time savings, and addresses the second lengthening point, the one related to the transient behavior.
Journal ArticleDOI

A parametric and non-intrusive reduced order model of car crash simulation

TL;DR: The construction of the reduced order model will be presented, the relevancy of using the reduction order model into a design process will be exhibited through the treatment of two industrial test-cases, and improvements and potential uses will be outlined.
Journal ArticleDOI

Advanced model order reduction and artificial intelligence techniques empowering advanced structural mechanics simulations: application to crash test analyses

TL;DR: A general framework for expressing parametrically quantities of interest related to the solution of complex structural mechanics models, in particular the ones involved in crash analyses where strongly coupled nonlinear and dynamic behaviors coexist with space-time localized mechanisms is proposed.
Journal ArticleDOI

On the coupling of local 3D solutions and global 2D shell theory in structural mechanics

TL;DR: An enrichment procedure able to address 3D local behaviors, preserving the direct minimally-invasive coupling with existing plate and shell discretizations is proposed and will be extended to inelastic behaviors and structural dynamics.
Journal ArticleDOI

Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems

TL;DR: An approach based on the use of reduced order modeling, in particular the construction of a parametric solution by employing a non-intrusive formulation of the Proper Generalized Decomposition combined with a powerful phase-angle unwrapping strategy for accurately addressing the electric and magnetic fields interpolation, contributing to improve the design, the calibration and the operational use of those systems.