Juan Chiachío Ruano

Universidad de Granada

Publicaciones

Generative Adversarial Networks for Improved Model Training in the Context of the Digital Twin

AUTHORS: María Megía; Francisco Javier Melero; Manuel Chiachío; Juan Chiachío; Ka-Veng Yuen

Structural Control and Health Monitoring

2024
journal-article

10.1155/stc/9997872

Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics

AUTHORS: Juan Fernández; Juan Chiachío; José Barros; Manuel Chiachío; Chetan S. Kulkarni

Reliability Engineering & System Safety

2024
journal-article

10.1016/j.ress.2023.109822

Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle’s Acceleration Measurements

AUTHORS: Masoud Haghbin; Juan Chiachío; Sergio Muñoz; Jose Luis Escalona Franco; Antonio J. Guillén; Adolfo Crespo Marquez; Sergio Cantero-Chinchilla

Sensors

2024
journal-article

10.3390/s24144627

A Quantitative Group Decision-Making Methodology for Structural Eco-Materials Selection Based on Qualitative Sustainability Attributes

AUTHORS: Majdi Al Shdifat; María L. Jalón; Esther Puertas; Juan Chiachío

Applied Sciences

2023
journal-article

10.3390/app132212310

Bayesian structural parameter identification from ambient vibration in cultural heritage buildings: The case of the San Jerónimo monastery in Granada, Spain

AUTHORS: Enrique Hernández-Montes; María L. Jalón; Rubén Rodríguez-Romero; Juan Chiachío; Víctor Compán-Cardiel; Luisa María Gil-Martín

Engineering Structures

2023
journal-article

10.1016/j.engstruct.2023.115924

Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data

AUTHORS: Morteza Moradi; Agnes Broer; Juan Chiachío; Rinze Benedictus; Theodoros H. Loutas; Dimitrios Zarouchas

Engineering Applications of Artificial Intelligence

2023
journal-article

10.1016/j.engappai.2022.105502

Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns

AUTHORS: Juan Fernández; Juan Chiachío; Manuel Chiachío; José Barros; Matteo Corbetta

Engineering Applications of Artificial Intelligence

2023
journal-article

10.1016/j.engappai.2022.105790

Reduction of Petri net maintenance modeling complexity via Approximate Bayesian Computation

AUTHORS: Manuel Chiachío; Ali Saleh; Susannah Naybour; Juan Chiachío; John Andrews

Reliability Engineering & System Safety

2022
journal-article

10.1016/j.ress.2022.108365

Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials

AUTHORS: Juan Fernández; Manuel Chiachío; Juan Chiachío; Rafael Muñoz; Francisco Herrera

Engineering Applications of Artificial Intelligence

2022
journal-article

10.1016/j.engappai.2021.104511

Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys

Sustainability (Switzerland)

2021
journal-article

10.3390/su13116038

Optimal sensor and actuator placement for structural health monitoring via an efficient convex cost-benefit optimization

AUTHORS: Sergio Cantero-Chinchilla; James L. Beck; Manuel Chiachío; Juan Chiachío; Dimitrios Chronopoulos; Arthur Jones

Mechanical Systems and Signal Processing

2020
journal-article

10.1016/j.ymssp.2020.106901

Optimal sensor configuration for ultrasonic guided-wave inspection based on value of information

AUTHORS: Sergio Cantero-Chinchilla; Juan Chiachío; Manuel Chiachío; Dimitrios Chronopoulos; Arthur Jones

Mechanical Systems and Signal Processing

2020
journal-article

10.1016/j.ymssp.2019.106377

A Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media

AUTHORS: Juan Chiachío; Manuel Chiachío; Shankar Sankararaman; Darren Prescott

Transport in Porous Media

2019
journal-article

10.1007/s11242-018-1094-2

A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves

AUTHORS: Sergio Cantero-Chinchilla; Juan Chiachío; Manuel Chiachío; Dimitrios Chronopoulos; Arthur Jones

Mechanical Systems and Signal Processing

2019
journal-article

10.1016/j.ymssp.2018.12.021

openO&M

AUTHORS: Athanasios Kolios; Julia Walgern; Sofia Koukoura; Ravi Pandit; JUAN CHIACHIO-RUANO

Proceedings of the 29th European Safety and Reliability Conference.

2019
conference-paper

10.3850/978-981-11-2724-3_1134-cd

A Bayesian assessment for railway track geometry degradation prognostics

4-th European Conference of the Prognostics and Health Management Society 2018

2018
conference-paper

A Bayesian assessment for railway track geometry degradation prognostics

AUTHORS: JUAN CHIACHIO-RUANO; Manuel Chiachio Ruano; Darren Prescott; John Andrews

Proceedings of the European Conference of the PHM Society

2018
conference-paper

A Bayesian time-of-flight estimation for ultrasonic damage detection

European Workshop on Structural Health Monitoring EWSHM 2018

2018
conference-paper

A knowledge-based prognostics framework for railway track geometry degradation

AUTHORS: JUAN CHIACHIO-RUANO; Manuel Chiachío; Darren Prescott; John Andrews

Reliability Engineering and System Safety

2018
journal-article

10.1016/j.ress.2018.07.004

A new paradigm for uncertain knowledge representation by Plausible Petri nets

Information Sciences

2018
journal-article

https://doi.org/10.1016/j.ins.2018.04.029

Lamb Wave-based Damage Indicator for Plate-Like Structures

4-th European Conference of the Prognostics and Health Management Society

2018
conference-paper

Lamb Wave-based Damage Indicator for Plate-Like Structures

AUTHORS: Sergio Cantero-Chinchilla; Juan Chiachío-Ruano; Manuel Chiachío-Ruano; Josu Etxaniz; Gerardo Aranguren; Arthur Jones; Yasser Essa; Federico Martin De La Escalera

PHM Society European Conference

2018
journal-article

10.36001/phme.2018.v4i1.368

Modelling adaptive systems using plausible petri nets

AUTHORS: JUAN CHIACHIO-RUANO; M. Chiachio; D. Prescott; J. Andrews

REC2018 Papers

2018
conference-paper

Modelling adaptive systems using plausible Petri nets

8-th International Workshop on Reliable Engineering Computing, “Computing with Confidence”

2018
conference-paper

Plausible Petri nets as self-adaptive expert systems: A tool for infrastructure asset monitoring

Computer-Aided Civil and Infrastructure Engineering

2018
journal-article

10.1111/mice.12427

A reliability-based prognostics framework for railway track management

AUTHORS: JUAN CHIACHIO-RUANO; Manuel Chiachio; Darren Prescott; John Andrews

Prognostics and Health Management Society Conference Proceedings

2017
conference-paper

A reliability-based prognostics framework for railway track management

Prognostics and Health Management Society Conference Proceedings 2017, v.8, 046, p. 396-406. ISBN 9781936263264.

2017
conference-paper

An information theoretic approach for knowledge representation using Petri nets

AUTHORS: Chiachio, M.; Chiachio, J.; Prescott, D.; Andrews, J.

FTC 2016 - Proceedings of Future Technologies Conference

2017
conference-paper

10.1109/FTC.2016.7821606

Integration of prognostics at a system level

AUTHORS: Manuel Chiachio; JUAN CHIACHIO-RUANO; Shankar Sankararaman; John Andrews

Proceedings of the 2017 Annual Conference of the Prognostics and Health Management Society

2017
conference-paper

Integration of prognostics at a system level: a Petri net approach

Proceedings of the 2017 Annual Conference of the Prognostics and Health Management Society. isbn: 9781936263264

2017
conference-paper

A multilevel Bayesian method for ultrasound-based damage identification in composite laminates

Mechanical Systems and Signal Processing

2016
journal-article

http://dx.doi.org/10.1016/j.ymssp.2016.09.035

A new algorithm for prognostics using Subset Simulation

AUTHORS: Chiachío, M.; Chiachío, J.; Sankararaman, S.; Goebel, K.; Andrews, J.

Reliability Engineering and System Safety

2016
journal-article

10.1016/j.ress.2017.05.042

Bayesian model selection and parameter estimation for fatigue damage progression models in composites

International Journal of Fatigue

2015
journal-article

10.1016/j.ijfatigue.2014.08.003

Condition-based prediction of time-dependent reliability in composites

Reliability Engineering and System Safety

2015
journal-article

10.1016/j.ress.2015.04.018

Logical inference for inverse problems

Inverse Problems in Science and Engineering

2015
journal-article

10.1080/17415977.2015.1047361

Model-Based Damage Evaluation of Layered CFRP Structures

AUTHORS: Munoz, Rafael; Bochud, Nicolas; Rus, Guillermo; Peralta, Laura; Melchor, Juan; Chiachio, Juan; Chiachio, Manuel; Bond, Leonard J.

41st Annual Review of Progress in Quantitative Nondestructive Evaluation, Vol 34

2015
book-chapter

10.1063/1.4914727

Nonlinear Ultrasonics for Early Damage Detection

AUTHORS: Rafael Muñoz; Guillermo Rus; Nicolas Bochud; Daniel J. Barnard; Juan Melchor; JUAN CHIACHIO-RUANO; Manuel Chiachio Ruano; Sergio Cantero; Antonio M. Callejas; Laura M. Peralta Pereira; Leonard J. Bond

Emerging Design Solutions in Structural Health Monitoring Systems

2015
book-chapter

10.4018/978-1-4666-8490-4.ch009

A BAYESIAN APPROACH TO FATIGUE DAMAGE ASSESSMENT IN COMPOSITE MATERIALS

2014
other

10.13140/2.1.1293.4729

A robust modeling approach for fatigue damage in composites based on bayesian model class selection

AUTHORS: Chiachio, J.; Chiachio, M.; Sankararaman, S.; Saxena, A.; Goebel, K.

Proceedings of the American Society for Composites - 29th Technical Conference, ASC 2014; 16th US-Japan Conference on Composite Materials; ASTM-D30 Meeting

2014
conference-paper

An efficient algorithm to predict the expected end-of-life in composites under fatigue conditions

AUTHORS: Chiachio, M.; Chiachio, J.; Saxena, A.; Rus, G.; Goebel, K.

16th European Conference on Composite Materials, ECCM 2014

2014
conference-paper

An efficient algorithm to predict the expected end-of-life in composites under fatigue conditions

AUTHORS: M. Chiachio; JUAN CHIACHIO-RUANO; A. Saxena; G. Rus; K. Goebel

16th European Conference on Composite Materials, ECCM 2014

2014
conference-paper

Approximate bayesian computation by subset simulation

SIAM Journal on Scientific Computing

2014
journal-article

10.1137/130932831

FDTD simulations for ultrasound propagation in a 2-D cervical tissue model

AUTHORS: Peralta, Laura; Rus, Guillermo; Bochud, Nicolas; Melchor, Juan; Chiachio, Juan; Chiachio, Manuel

Proceedings Iwbbio 2014: International Work-Conference on Bioinformatics and Biomedical Engineering, Vols 1 and 2

2014
journal-article

Information-theory approach to model class assessment for tissue-engineered cultures consistence evolution

AUTHORS: Chiachio, Juan; Chiachio, Manuel; Rus, Guillermo; Bochud, Nicolas; Peralta, Laura; Manuel Melchor, Juan

Proceedings Iwbbio 2014: International Work-Conference on Bioinformatics and Biomedical Engineering, Vols 1 and 2

2014
journal-article

Model-based probability of detection of pathologies in soft tissue

AUTHORS: Melchor, Juan; Rus, Guillermo; Bochud, Nicolas; Peralta, Laura; Chiachio, Juan; Chiachio, Manuel

Proceedings Iwbbio 2014: International Work-Conference on Bioinformatics and Biomedical Engineering, Vols 1 and 2

2014
journal-article

Nonlinear ultrasonic imaging of cortical bone

2014
conference-paper

10.13140/2.1.3232.8964

Predicting fatigue damage in composites: A Bayesian framework

Structural Safety

2014
journal-article

10.1016/j.strusafe.2014.06.002

Predicting remaining useful life in CRFP laminates under fatigue loads: A new efficient algorithm

AUTHORS: Chiachio, M.; Chiachio, J.; Sankararaman, S.; Saxena, A.; Goebel, K.

Proceedings of the American Society for Composites - 29th Technical Conference, ASC 2014; 16th US-Japan Conference on Composite Materials; ASTM-D30 Meeting

2014
conference-paper

Predicting remaining useful life in CRFP laminates under fatigue loads: A new efficient algorithm

AUTHORS: Chiachio, M.; Chiachio, J.; Sankararaman, S.; Saxena, A.; Goebel, K.

Proceedings of the American Society for Composites - 29th Technical Conference, ASC 2014; 16th US-Japan Conference on Composite Materials; ASTM-D30 Meeting

2014
conference-paper

Reliability-based design optimization of a CFRP bridge

AUTHORS: Rodriguez-Sanchez, J.; Chiachio, J.; Rus, G.; Chiachio, M.

Engineering for Progress, Nature and People

2014
conference-paper

Ultrasonic monitoring of artificial tissue mechanical properties in biorreactor

AUTHORS: Rus, Guillermo; Bochud, Nicolas; Melchor, Juan; Peralta, Laura; Chiachio, Juan; Chiachio, Manuel; Gomez, Antonio; Antonio Marchal, Juan

Proceedings Iwbbio 2014: International Work-Conference on Bioinformatics and Biomedical Engineering, Vols 1 and 2

2014
journal-article

An energy-based prognostic framework to predict fatigue damage evolution in composites

AUTHORS: Chiachío, J.; Chiachío, M.; Saxena, A.; Rus, G.; Goebel, K.

PHM 2013 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2013

2013
conference-paper

Reliability in composites – A selective review and survey of current development

Composites Part B: Engineering

2012
journal-article

10.1016/j.compositesb.2011.10.007

An inverse-problem based stochastic approach to model the cumulative damage evolution of composites

Procedia Engineering

2011
conference-paper

10.1016/j.proeng.2011.07.196

Device and method of monitoring samples

AUTHORS: Guillermo Rus; Nicolas Bochud; Juan Manuel Melchor Rodríguez; JUAN CHIACHIO-RUANO; Manuel Chiachio Ruano

2011
patent

Estructura autotensada para puente de material compuesto

AUTHORS: JUAN CHIACHIO-RUANO; Manuel Chiachio Ruano; Guillermo Rus

2008
patent

Contacto

jchiachio@ugr.es