JUAN CHIACHIO-RUANO

Has grant

Associate Professor

Universidad de Granada
Country flagSpain

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Juan Chiachio-Ruano is an Associate Professor at the University of Granada, Spain. His research areas encompass advanced computational methods in structural engineering, focusing on applications of neural networks, Bayesian computation, and decision-making frameworks for sustainability. His recent publications include work on predicting rail corrugation, structural response prognostics, and intelligent health indicator construction for composite structures.

Recent Grants

Grant: Close

Whole-life Cost Assessment of Novel Material Railway Drainage Systems

Open Date: 2015-09-13

Close Date: 2019-03-13

Articles (12)

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Year:

2020

Collaborators (13)

Masoud Haghbin

Universidad de Granada

SPAIN
View details

Víctor Compán

Profesor Contratado Doctor

Universidad de Sevilla

SPAIN
View details

Sergio Cantero Chinchilla

University of Bristol

UNITED KINGDOM
View details

María Esther Puertas García

Universidad de Granada

SPAIN
View details

Manuel Chiachio Ruano

Associate Professor

Universidad de Granada

SPAIN
View details

Morteza Moradi

Delft University of Technology

NETHERLANDS
View details

Rafael Muñoz Beltrán

Universidad de Granada

SPAIN
View details

Enrique Hernández-Montes

Professor

Universidad de Granada

SPAIN
View details

Francisco Javier Melero Rus

Universidad de Granada

SPAIN
View details

Adolfo Crespo Márquez

Professor

Universidad de Sevilla

SPAIN
View details

Sergio Alonso Burgos

Universidad de Granada

SPAIN
View details

Daniel Molina Cabrera

Senior Lecturer, Assistant Professor

Universidad de Granada

SPAIN
View details

Agnes Broer

Delft University of Technology

NETHERLANDS
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.