activity
20222025
most citedSparse Polynomial Chaos Expansion for Universal Stochastic Kriging

7 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Model-Based Transfer Learning for Real-Time Damage Assessment of Bridge Networks

Elisa Tomassini, Enrique García-Macías, Filippo Ubertini

The growing use of permanent monitoring systems has increased data availability, offering new opportunities for structural assessment but also posing scalability challenges, especi…

cs.CE2024

Fast Stochastic Subspace Identification of Densely Instrumented Bridges Using Randomized SVD

Elisa Tomassini, Enrique García-Macías, Filippo Ubertini

The rising number of bridge collapses worldwide has compelled governments to introduce predictive maintenance strategies to extend structural lifespan. In this context, vibration-b…

math.NA2024★ 7 cited

Sparse Polynomial Chaos Expansion for Universal Stochastic Kriging

José Calos García-Marino, Carmen Calvo-Jurado, Enrique García-Macías

Surrogate modelling techniques have opened up new possibilities to overcome the limitations of computationally intensive numerical models in various areas of engineering and scienc…

physics.app-ph2023★ 5 cited

Piezoelectric composite cements: Towards the development of self-powered and self-diagnostic materials

Daniel A. Triana-Camacho, Jorge H. Quintero-Orozco, Enrique Mejía-Ospino +2

Piezoresistivity is the most commonly used sensing principle in cement-based smart composites for strain-monitoring applications. Nonetheless, the need for external electric power…

cs.CE2022

Micromechanics-based phase field fracture modelling of CNT composites

L. Quinteros, E. García-Macías, E. Martínez-Pañeda

We present a novel micromechanics-based phase field approach to model crack initiation and propagation in carbon nanotube (CNT) based composites. The constitutive mechanical and fr…