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Proceedings of the American Society for Composites - 29th Technical Conference, ASC 2014; 16th US-Japan Conference on Composite Materials; ASTM-D30 Meeting(2)
Reliability Engineering and System Safety(2)
16th European Conference on Composite Materials, ECCM 2014(1)
Emerging Design Solutions in Structural Health Monitoring Systems(1)
International Journal of Fatigue(1)
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Ingeniería y operaciones afines(8)
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scopus(9)
Bayesian 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:scopusA new algorithm for prognostics using Subset Simulation
ArticleAbstract: This work presents an efficient computational framework for prognostics by combining the particle fiPalabras claves:Prognostics, Rare events, Stochastic modeling, Subset simulationAutores:Andrews J., Goebel K., Juan Chiachío, Ruano M.C., Sankararaman S.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:scopusPrognostics design for structural health management
Book PartAbstract: The chapter describes the application of prognostic techniques to the domain of structural health anPalabras claves:Autores:Goebel K., Juan Chiachío, Ruano M.C., Sankararaman S., Saxena A.Fuentes:scopusPbkp_redicting remaining useful life in CRFP laminates under fatigue loads: A new efficient algorithm
Conference ObjectAbstract: This work presents an efficient computational framework for estimating the end of life and remainingPalabras claves:Autores:Goebel K., Juan Chiachío, Ruano M.C., Sankararaman S., Saxena A.Fuentes:scopus