Pedro Diez

Full Professor

Universitat Politècnica de Catalunya

Spain

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Pedro Diez is a Full Professor at the Universitat Politècnica de Catalunya in Spain. His research areas include inverse nonlinear elastostatic analysis, data augmentation in fluid dynamics, and model order reduction of thermo-hydro-mechanical systems. He has contributed to various studies on geophysical inversion, vehicle body structure analysis, and tissue engineering, showcasing a strong emphasis on parametric methods and nonintrusive techniques in his recent publications.

Articles (15)

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2026

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (4)

Thierry J Massart

Université libre de Bruxelles (ULB)

BELGIUM

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Alberto García

Professor

Universitat Politècnica de Catalunya

SPAIN

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Alba Muixí

Assistant Professor (Serra Húnter Programme)

Universitat Politècnica de Catalunya

SPAIN

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Ruben Sevilla

Full Professor

Swansea University

UNITED KINGDOM

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Pedro Diez

Research Interests

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Articles (15)

Inverse nonlinear elastostatic analysis of heterogeneous pre-stressed arterial cross-sections with elastic bed supports: an unfitted approach

Data Augmentation for the POD Formulation of the Parametric Laminar Incompressible Navier–Stokes Equations

Model order reduction of nonlinear thermo-hydro-mechanical systems by means of elastic and plastic domain sub-structuring

Physically consistent temperature fields for geophysical inversion based on the parametrized location of an isotherm

Nonintrusive parametric NVH study of a vehicle body structure

An Unfitted Method with Elastic Bed Boundary Conditions for the Analysis of Heterogeneous Arterial Sections

Discrete empirical interpolation for hyper‐reduction of hydro‐mechanical problems in groundwater flow through soil

Proper generalized decomposition solutions for composite laminates parametrized with fibre orientations

Bonding Performance of Glass Fiber-Reinforced Polymer Bars under the Influence of Deformation Characteristics

Nonintrusive parametric solutions in structural dynamics

Physics-based manifold learning in scaffolds for tissue engineering: Application to inverse problems

Using Reduced Basis Approximation for Efficient Surrogate-Based Inverse Identification of Thermo-Hydro-Mechanical Parameters from an In Situ Heating Test

A multiparametric advection-diffusion reduced-order model for molecular transport in scaffolds for osteoinduction

Nonintrusive reduced order model for parametric solutions of inertia relief problems

Nonlinear dimensionality reduction for parametric problems: A kernel proper orthogonal decomposition

Collaborators (4)

Thierry J Massart

Alberto García

Alba Muixí

Ruben Sevilla

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