Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Juan Chiachío-Ruano"'
Publikováno v:
Bayesian Inverse Problems ISBN: 9781315232973
Bayesian Inverse Problems
Bayesian Inverse Problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d7ccdb8b04ed42e21099899f13b1718
https://doi.org/10.1201/b22018-3
https://doi.org/10.1201/b22018-3
Publikováno v:
Bayesian Inverse Problems ISBN: 9781315232973
Bayesian Inverse Problems
Bayesian Inverse Problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ffa66cd1e6b714f6de0f66db3751050
https://doi.org/10.1201/b22018-2
https://doi.org/10.1201/b22018-2
Publikováno v:
Bayesian Inverse Problems ISBN: 9781315232973
Bayesian Inverse Problems
Bayesian Inverse Problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1e0703b972658038d6e42a3f70f6cce
https://doi.org/10.1201/b22018-4
https://doi.org/10.1201/b22018-4
Publikováno v:
Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5359cf1b6f9c82e5c491e2386e10fe00
https://doi.org/10.3850/978-981-14-8593-0_4974-cd
https://doi.org/10.3850/978-981-14-8593-0_4974-cd
This book is devoted to a special class of engineering problems called Bayesian inverse problems. These problems comprise not only the probabilistic Bayesian formulation of engineering problems, but also the associated stochastic simulation methods n
Publikováno v:
Volume 3: Structures, Safety, and Reliability.
The rampant growth of offshore wind energy in Europe and overseas is calling for advanced operation and maintenance simulation tools for optimal infrastructure asset management. The operational downtimes due to random failures, repair times or advers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afb4bc454b408e5aaf99a1e1a279226d
https://doi.org/10.1115/omae2019-96323
https://doi.org/10.1115/omae2019-96323
Autor:
Laura Maria Peralta, Manuel Chiachío, Rafael Muñoz, Nicolas Bochud, Sergio Cantero, Juan Melchor, Leonard J. Bond, Antonio Callejas, Guillermo Rus, Daniel J. Barnard, Juan Chiachío Ruano
Structural Health Monitoring (SHM) is an emerging discipline that aims at improving the management of the life cycle of industrial components. The scope of this chapter is to present the integration of nonlinear ultrasonics with the Bayesian inverse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e491ec2cbd78016d612a6bcd93d66767
https://doi.org/10.4018/978-1-4666-8490-4.ch009
https://doi.org/10.4018/978-1-4666-8490-4.ch009