Juan Chiachío Ruano
Category
PhDContact
jchiachio@ug6tMQNIUuDbr.es
Organization
UGR
| Total | From 2019: | |
|---|---|---|
| Citas | Total: 1832 | From 2019: 1428 |
| Índice H | Total: 23 | From 2019: 21 |
| Índice i10 | Total: 38 | From 2019: 32 |
Papers (128)
| Title | Authors | Year |
|---|---|---|
| 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 |
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