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Bayesian damage localization and identification based on a transient wave propagation model for composite beam structures
ArticleAbstract: This paper proposes the use of a physics-based Bayesian framework for the localization and identificPalabras claves:Bayesian inverse problem, Composite beams, Guided waves, Structural Health Monitoring, Ultrasound, Wave and finite element methodAutores:Cantero-Chinchilla S., Chronopoulos D., Juan Chiachío, Malik M.K.Fuentes:scopusBayesian model selection and parameter estimation for fatigue damage progression models in composites
ArticleAbstract: A Bayesian approach is presented for selecting the most probable model class among a set of damage mPalabras claves:Bayesian methods, COMPOSITES, Damage mechanics, fatigueAutores:Goebel K., Juan Chiachío, Ruano M.C., Rus G., Sankararaman S., Saxena A.Fuentes:scopusAn efficient algorithm to pbkp_redict the expected end-of-life in composites under fatigue conditions
Conference ObjectAbstract: This work presents an efficient computational framework for estimating the end of life (EOL) and remPalabras claves:fatigue damage, Model-based prognostics, Particle filters, Structural health managementAutores:Goebel K., Juan Chiachío, Ruano M.C., Rus G., Saxena A.Fuentes:scopusAn energy-based prognostic framework to pbkp_redict evolution of damage in composite materials
Book PartAbstract: This chapter describes damage prognosis techniques in the context of structural health monitoring foPalabras claves:COMPOSITES, fatigue, Filtering, pbkp_rediction, Prognostics, Remaining useful life (RUL), Structural health monitoring (SHM)Autores:Goebel K., Juan Chiachío, Ruano M.C., Saxena A.Fuentes:scopusAn inverse-problem based stochastic approach to model the cumulative damage evolution of composites
Conference ObjectAbstract: Fibre-reinforced composites are often selected for high-responsibility structural applications due tPalabras claves:Composite laminates, Damage accumulation, Inverse Problem, Markov chains, Unitary-time-transformationAutores:Juan Chiachío, Ruano M.C., Rus G.Fuentes:scopusA cross-sectoral review of the current and potential maintenance strategies for composite structures
ReviewAbstract: The interest in the use of composite materials in thin-walled structures has grown over the last decPalabras claves:Composite structures, Cyber-physical structures (CPS), Maintenance, Polymer–matrix composites (PMCs), Structural health monitoring (SHM)Autores:Contreras Lopez J., Juan Chiachío, Kolios A., Ruano M.C., Saleh A.Fuentes:scopusA multilevel Bayesian method for ultrasound-based damage identification in composite laminates
ArticleAbstract: Estimating deterministic single-valued damage parameters when evaluating the actual health state ofPalabras claves:Bayesian inverse problem, Composite laminates, DIAGNOSTICS, UltrasoundAutores:Bochud N., Cantero-Chinchilla S., Juan Chiachío, Ruano M.C., Rus G.Fuentes:scopusA robust modeling approach for fatigue damage in composites based on bayesian model class selection
Conference ObjectAbstract: A Bayesian model selection approach is presented for selecting the most robust model class among a sPalabras claves:Autores:Goebel K., Juan Chiachío, Ruano M.C., Sankararaman S., Saxena A.Fuentes:scopusCondition-based pbkp_rediction of time-dependent reliability in composites
ArticleAbstract: This paper presents a reliability-based pbkp_rediction methodology to obtain the remaining useful liPalabras claves:COMPOSITES, fatigue, Model-based prognostics, Time-dependent reliabilityAutores:Goebel K., Juan Chiachío, Ruano M.C., Sankararaman S., Saxena A.Fuentes:scopusFatigue damage prognosis in FRP composites by combining multi-scale degradation fault modes in an uncertainty Bayesian framework
Conference ObjectAbstract: In this work, a framework for the estimat ion of t he fatigue damage propagation in CFRP compositesPalabras claves:Autores:Carlborg G.R., Goebel K., Juan Chiachío, Ruano M.C., Saxena A.Fuentes:scopus