Data-driven modeling and learning in science and engineering

FJ Montáns, F Chinesta, R Gómez-Bombarelli… - Comptes Rendus …, 2019 - Elsevier
In the past, data in which science and engineering is based, was scarce and frequently
obtained by experiments proposed to verify a given hypothesis. Each experiment was able …

A physics-informed multi-agents model to predict thermo-oxidative/hydrolytic aging of elastomers

A Ghaderi, V Morovati, Y Chen, R Dargazany - International Journal of …, 2022 - Elsevier
This paper introduces a novel physics-informed multi-agents constitutive model to propose
prediction in quasi-static constitutive behavior of cross-linked elastomer and the loss of …

General solution procedures to compute the stored energy density of conservative solids directly from experimental data

J Crespo, FJ Montans - International Journal of Engineering Science, 2019 - Elsevier
Energy-conservative, hyperelastic solids assume the existence of a stored energy density
which relates stresses and strains for any deformation state. The usual approach to model …

A Physics-Based Data-Driven Approach for Modeling of Environmental Degradation in Elastomers

A Ghaderi, Y Chen… - ASME …, 2022 - asmedigitalcollection.asme.org
Elastomers are now commonly used in a number of industries, including aerospace,
structure, transportation, shipbuilding, and automotive, due to their excellent workability …

[PDF][PDF] Multiscale structural simulation of metamaterials under large strains. Generation of the RVE behaviour

FJSM Fiel, FJ Montáns - 2019 - eucass.eu
Metamaterials are designed to achieve the desired properties (structural, optical, acoustic
absorption, etc) not found in ordinary materials, and possess in general an internal micro …