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Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM(1)
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An 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: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:scopusModel-based damage evaluation of layered CFRP structures
Conference ObjectAbstract: An ultrasonic evaluation technique for damage identification of layered CFRP structures is presentedPalabras claves:Autores:Bochud N., Bond L.J., Juan Chiachío, Melchor J., Munoz R., Peralta L.M., Ruano M.C., Rus G.Fuentes:scopusUncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials
ArticleAbstract: Modern machine learning algorithms excel in a great variety of tasks, but at the same time, it is alPalabras claves:Approximate Bayesian Computation, Bayesian Neural Network, Gradient-free training, Non-parametric formulation, Subset simulation, uncertainty quantificationAutores:Fernández J., Herrera F., Juan Chiachío, Munoz R., Ruano M.C.Fuentes:scopusReliability in composites - A selective review and survey of current development
ArticleAbstract: As a response to the rampant increase in research activity within reliability in the past few decadePalabras claves:A. Lamina/ply, A. Laminates, C. Statistical properties/methods, reliabilityAutores:Juan Chiachío, Ruano M.C., Rus G.Fuentes:scopusProbabilistic Safety Assessment in Composite Materials using BNN by ABC-SS
Conference ObjectAbstract: Carbon fiber reinforced polymer composites present excellent mechanical properties, however, their bPalabras claves:Autores:Fernández J., Juan Chiachío, Ruano M.C., Saleh A.Fuentes:scopus