Título	Autores	Año
Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle’s Acceleration Measurements	M Haghbin, J Chiachío, S Muñoz, JL Escalona Franco, AJ Guillén, ....	2024
A computer-based simulation methodology of the predetermined maintenance scheme of an irradiation facility	MH Ismail, M Chiachío, J Chiachío, F Arranz, A Saleh.	2024
Particle Filter-Based Delamination Shape Prediction in Composites	T Li, F Cadini, M Chiachío, J Chiachío, C Sbarufatti.	2023
Intelligent Health Indicators Based on Semi-supervised Learning Utilizing Acoustic Emission Data	M Moradi, A Broer, J Chiachío, R Benedictus, D Zarouchas.	2023
Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data	M Moradi, A Broer, J Chiachío, R Benedictus, TH Loutas, D Zarouchas.	2023
Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns	J Fernández, J Chiachío, M Chiachío, J Barros, M Corbetta.	2023
Optimized Petri Net Model for Condition-Based Maintenance of a Turbine Blade	A Saleh, M Chiachio, J Chiachio.	2023
Bayesian structural parameter identification from ambient vibration in cultural heritage buildings: The case of the San Jerónimo monastery in Granada, Spain	E Hernández-Montes, ML Jalón, R Rodríguez-Romero, J Chiachío, ....	2023
Developing health indicators for composite structures based on a two-stage semi-supervised machine learning model using acoustic emission data	M Moradi, J Chiachío, D Zarouchas.	2023
A Quantitative Group Decision-Making Methodology for Structural Eco-Materials Selection Based on Qualitative Sustainability Attributes	M Al Shdifat, ML Jalón, E Puertas, J Chiachío.	2023
Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics	J Fernández, J Chiachío, J Barros, M Chiachío, CS Kulkarni.	2023
Advanced Health Monitoring of Composite Structures Through Deep Learning-Based Analysis of Lamb Wave Data for Developing Health Indicators	M MORADI, FC GUL, J CHIACHIO, R BENEDICTUS, D ZAROUCHAS.	2023
Modelling and Analysis of the Scheduled Maintenance for the Test Cell of the IFMIF DONES Facility	MH Ismail, M Chiachío, J Chiachío, F Arranz.	2023
Análisis de la enseñanza universitaria sobre fiabilidad y riesgo en Ingeniería: perspectivas desde distintas universidades nacionales	MLJ Ramírez, JC Ruano.	2023
Bayesian Inverse Problems	J Chiachío-Ruano, M Chiachío-Ruano, S Sankararaman.	2023
An assessment of the trade-off between energetic efficiency and structural integrity in Wave Energy Converters	ML Jalón, J Chiachıo, M Chiachıo.	2023
Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials	J Fernández, M Chiachío, J Chiachío, R Muñoz, F Herrera.	2022
Reduction of Petri net maintenance modeling complexity via Approximate Bayesian Computation	M Chiachío, A Saleh, S Naybour, J Chiachío, J Andrews.	2022
A Bayesian approach for damage assessment in welded structures using Lamb-wave surrogate models and minimal sensing	MA Fakih, M Chiachío, J Chiachío, S Mustapha.	2022
Yield Displacement Charts for performance-based seismic design	EH Montes, ML Jalón, J Chiachio, LM Gil-Martín.	2022
Structural digital twin framework: Formulation and technology integration	M Chiachío, M Megía, J Chiachío, J Fernandez, ML Jalón.	2022
A cross-sectoral review of the current and potential maintenance strategies for composite structures	J Contreras Lopez, J Chiachío, A Saleh, M Chiachío, A Kolios.	2022
Particle filter-based delamination shape prediction in composites subjected to fatigue loading	T Li, F Cadini, M Chiachío, J Chiachío, C Sbarufatti.	2022
Probabilistic Safety Assessment in Composite Materials using BNN by ABC-SS	J Fernández, J Chiachío, M Chiachío, A Saleh.	2022
Robust optimal sensor configuration using the value of information	S Cantero‐Chinchilla, C Papadimitriou, J Chiachío, M Chiachío, ....	2022
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects	I Palomares, E Martínez-Cámara, R Montes, P García-Moral, M Chiachio, ....	2021
Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys	S Alonso, R Montes, D Molina, I Palomares, E Martínez-Cámara, ....	2021
Bayesian damage localization and identification based on a transient wave propagation model for composite beam structures	S Cantero-Chinchilla, MK Malik, D Chronopoulos, J Chiachío.	2021
Probabilistic identification of surface recession patterns in heritage buildings based on digital photogrammetry	ML Jalón, J Chiachío, LM Gil-Martín, E Hernández-Montes.	2021
Bayesian Inverse Problems: Fundamentals and Engineering Applications	J Chiachio-Ruano, M Chiachio-Ruano, S Sankararaman.	2021
Adaptive approximate Bayesian computation by subset simulation for structural model calibration	J Barros, M Chiachío, J Chiachío, F Cabanilla.	2021
Inteligencia Artificial y Tecnologías Digitales para los ODS. Publicación de la Real Academia de Ingeniería	FH Rosana Montes, Francisco Javier Melero, Iván Palomares, Sergio Alonso ....	2021
Inteligencia Artificial y Tecnologías Digitales para los ODS	R Montes, FJ Melero, I Palomares, S Alonso, J Chiachío, M Chiachío, ....	2021
OptiSens—Convex optimization of sensor and actuator placement for ultrasonic guided-wave based structural health monitoring	S Cantero-Chinchilla, JL Beck, J Chiachío, M Chiachío, D Chronopoulos.	2021
Ultrasonic Guided-waves Based Bayesian Damage Localisation and Optimal Sensor Configuration	S Cantero-Chinchilla, J Chiachío, M Chiachío, D Chronopoulos.	2021
Solving Inverse Problems by Approximate Bayesian Computation	M Chiachío-Ruano, J Chiachío-Ruano, ML Jalón.	2021
Introduction to Bayesian Inverse Problems	J Chiachío-Ruano, M Chiachío-Ruano, S Sankararaman.	2021
Fundamentals of Sequential System Monitoring and Prognostics Methods	DE Acuña-Ureta, J Chiachío-Ruano, M Chiachío-Ruano, ME Orchard.	2021
Ultrasonic guided-wave based value of information approach for optimal sensor placement	S Cantero-Chinchilla, D Chronopoulos, J Chiachío, M Chiachío, H Meng.	2021
Ordering artificial intelligence based recommendations to tackle the sdgs with a decision-making model based on surveys. Sustainability 2021, 13, 6038	S Alonso, R Montes, D Molina, I Palomares, E Martínez-Cámara, ....	2021
Optimal sensor configuration for ultrasonic guided-wave inspection based on value of information	S Cantero-Chinchilla, J Chiachío, M Chiachío, D Chronopoulos, A Jones.	2020
Bayesian Damage Assessment and Prognostics in Engineering Materials	J Chiachio-Ruano, S Sankararaman, M Chiachio-Ruano.	2020
Optimal sensor and actuator placement for structural health monitoring via an efficient convex cost-benefit optimization	S Cantero-Chinchilla, JL Beck, M Chiachío, J Chiachío, D Chronopoulos, ....	2020
Señal ultrasónica guiada de monitorización de fatiga en placa metálica	M Chiachío Ruano, J Chiachío Ruano, S Cantero Chinchilla, ....	2020
Probabilistic Safety Assessment of Concrete Columns by Approximate Bayesian Com-putation	MC Ruano, JB Cabezas, JC Ruano.	2020
A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves	S Cantero-Chinchilla, J Chiachío, M Chiachío, D Chronopoulos, A Jones.	2019
A Bayesian assessment of an approximate model for unconfined water flow in sloping layered porous media	J Chiachío, M Chiachío, S Sankararaman, D Prescott.	2019
A knowledge-based prognostics framework for railway track geometry degradation	J Chiachío, M Chiachío, D Prescott, J Andrews.	2019
A Sensitivity Study for Operational Availability of Offshore Wind Energy Assets	J Chiachio, M Hermile, A Kolios.	2019
A Markov chains prognostics framework for complex degradation processes	J Chiachío, ML Jalón, M Chiachío, A Kolios.	2019
Uncertainty quantification in ultrasonic guided-waves based damage localization	S Cantero-Chinchilla, J Chiachío, M Chiachío, D Chronopoulos, A Jones, ....	2019
Optimal Ultrasonic Sensor Configuration Based on Value of Information	S Cantero-Chinchilla, J Chiachío, M Chiachío.	2019
Optimal Ultrasonic Sensor Configuration for Plate-Like Structures Using the Value of Information	S Cantero-Chinchilla, J Chiachío, M Chiachío, D Chronopoulos, A Jones, ....	2019
Open O&M: Robust O&M Open Access Tool for Improving Operation and Maintenance of Offshore wind Turbines	A Kolios, J Walgern, S Koukoura, R Pandit, J Chiachio.	2019
Plausible Petri nets as self-adaptive expert systems: A tool for infrastructure asset monitoring	M Chiachío Ruano, J Chiachío Ruano, D Prescott, J Andrews.	2019
Project-based learning in strenght of materials: Degree in industrial electronic engineering in academic courses between 2015-2017	BB Besteiro, AMC Zafra, JC Ruano, MC Ruano, G Rus, JM Rodríguez.	2019
Teaching the 21st century civil engineering: Research results and critical perspective	BB Besteiro, JC Ruano, MC Ruano, AMC Zafra, GR Carlborg, ....	2019
Innovación Docente e Investigación en Ciencias, Ingeniería y Arquitectura	FJE González, JJG Linares, MMM Jurado, MMS Márquez, ÁM Martínez, ....	2019
A new paradigm for uncertain knowledge representation by Plausible Petri nets	M Chiachío, J Chiachío, D Prescott, J Andrews.	2018
Plausible Petri nets as self‐adaptive expert systems: A tool for infrastructure asset monitoring	M Chiachío, J Chiachío, D Prescott, J Andrews.	2018
Modelling adaptive systems using plausible Petri nets	J Chiachío, M Chiachío, D Prescott, J Andrews.	2018
Lamb Wave-based Damage Indicator for Plate-Like Structures	S Cantero-Chinchilla, J Chiachío-Ruano, M Chiachío-Ruano, J Etxaniz, ....	2018
Mapa interactivo de búsqueda de contenido en página web de intercambio de experiencias entre estudiantes y profesionales	J Benavides, J Simoes, M Arias de Reyna, J Aguilar Medina, ....	2018
Sankararaman, Shankar and Prescott, Darren (2018) A Bayesian assessment of an approximate model for unconfined water flow in sloping layered porous media. Transport in Porous …	J Chiachío, M Chiachío.	2018
A Bayesian time-of-flight estimation for ultrasonic damage detection	S Cantero, J Chiachío, J Chiachío, Manuel, Arthur, E Yasser, ....	2018
A methodology for railway track maintenance modelling using Plausible Petri nets	M Chiachio, J Chiachio, D Prescott, J Andrews.	2018
A Bayesian assessment for railway track geometry degradation prognostics	J Chiachio-Ruano, M Chiachio Ruano, D Prescott, J Andrews.	2018
Prescott, Darren (2018) A Bayesian assessment of an approximate model for unconfined water flow in sloping layered porous media. Transport in Porous Media. ISSN 0169-3913, http …	J Chiachío, M Chiachío, S Sankararaman.	2018
A new algorithm for prognostics using Subset Simulation	M Chiachío, J Chiachío, S Sankararaman, K Goebel, J Andrews.	2017
A multilevel Bayesian method for ultrasound-based damage identification in composite laminates	J Chiachío, N Bochud, M Chiachío, S Cantero, G Rus.	2017
A reliability-based prognostics framework for railway track management	J Chiachio, M Chiachio, D Prescott, J Andrews.	2017
An information theoretic approach for knowledge representation using Petri nets	M Chiachío, J Chiachío, D Prescott, J Andrews.	2017
Integration of prognostics at a system level: a Petri net approach	M Chiachio, J Chiachio, S Sankararaman, J Andrews.	2017
Logical inference for inverse problems	G Rus, J Chiachío, M Chiachío.	2016
An energy-based prognostic framework to predict evolution of damage in composite materials	M Chiachío, J Chiachío, A Saxena, K Goebel.	2016
Sankararaman, Shankar and Goebel, Kai and Andrews, John (2017) A new algorithm for prognostics using subset simulation. Reliability Engineering & System Safety, 168. pp. 189 …	M Chiachío, J Chiachío.	2016
Condition-based prediction of time-dependent reliability in composites	J Chiachío, M Chiachío, S Sankararaman, A Saxena, K Goebel.	2015
Bayesian model selection and parameter estimation for fatigue damage progression models in composites	J Chiachío, M Chiachío, A Saxena, S Sankararaman, G Rus, K Goebel.	2015
Prognostics design for structural health management	J Chiachío, M Chiachío, S Sankararaman, A Saxena, K Goebel.	2015
Nonlinear ultrasonics for early damage detection	R Munoz, G Rus, N Bochud, DJ Barnard, J Melchor, JC Ruano, ....	2015
Model-based damage evaluation of layered CFRP structures	R Munoz, N Bochud, G Rus, L Peralta, J Melchor, J Chiachío, M Chiachío, ....	2015
Notas introductorias sobre fiabilidad estructural	J Chiachío Ruano, M Chiachío Ruano.	2015
Notas sobre mécanica de materiales compuestos	M Chiachío Ruano, J Chiachío Ruano.	2015
Curso de introducción a estructuras de fibra de carbono	M Chiachío Ruano, J Chiachío Ruano.	2015
Approximate Bayesian computation by subset simulation	M Chiachio, JL Beck, J Chiachio, G Rus.	2014
Predicting fatigue damage in composites: A Bayesian framework	M Chiachío, J Chiachío, G Rus, JL Beck.	2014
An efficient simulation framework for prognostics of asymptotic processes-a case study in composite materials.	M Chiachıo, J Chiachıo, A Saxena, G Rus, K Goebel.	2014
A Model-Based Prognostics Framework to Predict Fatigue Damage Evolution and Reliability in Composites	J Chiachio, M Chiachio, A Saxena, G Rus, K Goebel.	2014
A Bayesian approach to fatigue damage assessment in composite materials	C Ruano, Juan.	2014
A robust modeling approach for fatigue damage in composites based on Bayesian model class selection	J Chiachio, M Chiachio, S Sankararaman, A Saxena, K Goebel.	2014
Reliability-Based Design Optimization of a CFRP Bridge	J Rodriguez-Sanchez, J Chiachio, M Chiachio, G Rus.	2014
Information-theory approach to model class assessment for tissue-engineered cultures consistence evolution.	J Chiachio, M Chiachio, G Rus-Carlborg, N Bochud, L Peralta, ....	2014
FDTD simulations for ultrasound propagation in a 2-D cervical tissue model.	L Peralta, G Rus, N Bochud, JMM Rodriguez, J Chiachío, M Chiachío.	2014
Predicting remaining useful life in CRFP laminates under fatigue loads: A new efficient algorithm.	M Chiachio, J Chiachio, S Sankararaman, A Saxena, K Goebel.	2014
An efficient algorithm to predict the expected end-of-life in composites under fatigue conditions	M Chiachio, J Chiachio, A Saxena, G Rus, K Goebel.	2014
Ultrasonic monitoring of artificial tissue mechanical properties in biorreactor.	G Rus, N Bochud, JMM Rodriguez, L Peralta, J Chiachio, M Chiachio, ....	2014
An Energy-Based Prognostic Framework to Predict Fatigue Damage Evolution in Composites	J Chiachío, M Chiachío, A Saxena, G Rus, K Goebel.	2013
Fatigue damage prognosis in FRP composites by combining multi-scale degradation fault modes in an uncertainty Bayesian framework	M Chiachio, J Chiachio, A Saxena, G Rus, K Goebel.	2013
In-biorreactor ultrasonic monitoring of tissue mechanical properties	G Rus, N Bochud, J Melchor, L Peralta, J Chiachio, M Chiachio, ....	2013
Dispositivo y método de monitorización de muestras	G Rus Carlborg, N Bochud, JM Melchor Rodríguez, J Chiachío Ruano, ....	2013
Inverse problem of predicting stochastic fatigue damage and reliability in composites materials	J Chiachío Ruano.	2013
Model-based inverse problem for damage reconstruction in composites	N Bochud, J Chiachio, M Chiachio, G Rus.	2013
Mechanical properties monitorization in bioreactor by ultrasound	G Rus, JM Melchor, N Bochud, LM Peralta, J Chiachío, M Chiachío, ....	2013
Reliability in composites–A selective review and survey of current development	M Chiachio, J Chiachio, G Rus.	2012
A stochastic model for tissue consistence evolution based on the inverse problem	J Chiachío, M Chiachío, G Rus, N Bochud, LM Peralta, JM Melchor.	2012
A MULTISCALE MECHANICAL MODEL FOR THE CERVICAL TISSUE	LM Peralta, G Rus, N Bochud, JM Melchor, J Chiachío, M Chiachío, ....	2012
ULTRASONIC MONITORING OF THE DECELLULARIZATION PROCESS OF PORCINE CORNEAL STROMA	N Bochud, JM Melchor, LM Peralta, J Chiachío, M Chiachío, G Rus, ....	2012
An inverse-problem based stochastic approach to model the cumulative damage evolution of composites	J Chiachio, M Chiachio, G Rus.	2011
12 PATENTE DE INVENCIÓN B1	J Chiachio Ruano.	2011
Estructura autotensada para puente de material compuesto	M Chiachío Ruano, J Chiachío Ruano, G Rus Carlborg.	2011
Probabilistic failure of composites considering long-term fatigue-based damage	MC Ruano, JC Ruano, G Rus.	2011
SELF-TENSIONING STRUCTURE FOR COMPOSITE-MATERIAL BRIDGES	G RUS CALBORG, J CHIACHIO RUANO, M CHIACHIO RUANO, ....	2010