Juan José Ródenas

Proffesor

Universitat Politècnica de València

Spain

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Juan José Ródenas is a Professor at Universitat Politècnica de València, Spain. His research interests include structural topology optimization, acoustic topology optimization, and the application of machine learning in obesity studies. He has published recent articles focusing on topics such as cell topology optimization, risk assessment in metastatic vertebrae, and numerical simulations in bone healing processes.

Articles (14)

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2021

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2021

Collaborators (5)

Francisco D. Denia

Full Professor of Mechanical Engineering

Universitat Politècnica de València

SPAIN

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Jose Martínez-Casas

Assistant Professor of Mechanical Engineering

SPAIN

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Blanca Alabadí

Profesor sustituto

Universitat Politècnica de València

SPAIN

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Ruben Sevilla

Full Professor

Swansea University

UNITED KINGDOM

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JOAQUIN ORTEGA SERRANO

Head of the Department

Universitat Politècnica de València

SPAIN

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Juan José Ródenas

Research Interests

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Articles (14)

Acoustic topology optimization using a mixed formulation and a three-material scheme

Accelerating cell topology optimisation by leveraging similarity in the parametric input space

Accelerating cell topology optimisation by leveraging similarity in the parametric input space

Acoustic topology optimization using a mixed formulation and a three-material scheme

Two-Level High-Resolution Structural Topology Optimization with Equilibrated Cells

Machine Learning Model in Obesity to Predict Weight Loss One Year after Bariatric Surgery: A Pilot Study

Machine Learning Model in Obesity to Predict Weight Loss One Year after Bariatric Surgery: A Pilot Study

Methodology for the assessment of the risk of failure of metastatic vertebrae through ROM-based patient-specific simulations

Patient-specific numerical simulation of the bone healing process including implant materials and gait conditions

Manifold learning for coherent design interpolation based on geometrical and topological descriptors

Manifold learning for coherent design interpolation based on geometrical and topological descriptors

Allying topology and shape optimization through machine learning algorithms

High‐order discontinuous Galerkin method for time‐domain electromagnetics on geometry‐independent Cartesian meshes

Error estimation for the polygonal finite element method for smooth and singular linear elasticity

Collaborators (5)

Francisco D. Denia

Jose Martínez-Casas

Blanca Alabadí

Ruben Sevilla

JOAQUIN ORTEGA SERRANO

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