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Engineering Applications of Artificial Intelligence(2)
Automation in Construction(1)
Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM(1)
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Ingeniería y operaciones afines(2)
Ciencias de la computación(1)
Métodos informáticos especiales(1)
Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns
ArticleAbstract: This manuscript proposes a physics-guided Bayesian neural network, which combines Approximate-BayesiPalabras claves:Approximate Bayesian Computation, Hybrid models, Physics-guided neural networks, Shear-capacity evaluation, uncertainty quantificationAutores:Corbetta M., Fernández J., José Barros, Juan Chiachío, Ruano M.C.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: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:scopusStructural digital twin framework: Formulation and technology integration
ArticleAbstract: This work presents a digital twin framework for structural engineering. The digital twin is conceptuPalabras claves:Bayesian learning, DIGITAL TWIN, internet of things, Petri nets, Structural Health MonitoringAutores:Fernández J., Jalón M.L., Juan Chiachío, Megía M., Ruano M.C.Fuentes:scopus