Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Manuel Chiachío"'
A cross-sectoral review of the current and potential maintenance strategies for composite structures
Publikováno v:
SN Applied Sciences, Vol 4, Iss 6, Pp 1-31 (2022)
Abstract The interest in the use of composite materials in thin-walled structures has grown over the last decades due to their well-known superior mechanical performance and reduced weight when compared with traditional materials. Notwithstanding, co
Externí odkaz:
https://doaj.org/article/3ed60f0277f14557a5a6f3d80130eba5
Autor:
Sergio Cantero-Chinchilla, James L. Beck, Juan Chiachío, Manuel Chiachío, Dimitrios Chronopoulos
Publikováno v:
SoftwareX, Vol 13, Iss , Pp 100643- (2021)
This paper presents OptiSens, a computational platform in Python and Matlab, that provides optimal sensor and actuator configurations for structural health monitoring applications using ultrasonic guided-waves. This software formulates a convex entro
Externí odkaz:
https://doaj.org/article/7d05517e41db4d2082148cf7bcce7843
Autor:
Sergio Cantero-Chinchilla, Gerardo Aranguren, José Manuel Royo, Manuel Chiachío, Josu Etxaniz, Andrea Calvo-Echenique
Publikováno v:
Sensors, Vol 21, Iss 3, p 993 (2021)
This paper proposes a new damage index named degree of health (DoH) to efficiently tackle structural damage monitoring in real-time. As a key contribution, the proposed index relies on a pattern matching methodology that measures the time-of-flight m
Externí odkaz:
https://doaj.org/article/ad1d84f93f9e4a59a843189687653a7a
Publikováno v:
In Reliability Engineering and System Safety December 2024 252
Akademický článek
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Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9783031072574
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5f8a7316afb62758cb75b2ef96537c2
https://hdl.handle.net/11311/1224329
https://hdl.handle.net/11311/1224329
Autor:
Sergio Cantero‐Chinchilla, Costas Papadimitriou, Juan Chiachío, Manuel Chiachío, Petros Koumoutsakos, Adriano T. Fabro, Dimitrios Chronopoulos
Publikováno v:
Structural Control and Health Monitoring, 29 (12)
Sensing is the cornerstone of any functional structural health monitoring technology, with sensor number and placement being a key aspect for reliable monitoring. We introduce for the first time a robust methodology for optimal sensor configuration b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::200658fd5e71c75eab74005e86ec0697
https://hdl.handle.net/20.500.11850/580580
https://hdl.handle.net/20.500.11850/580580
Publikováno v:
Proceedings of the Annual Conference of the PHM Society 2022
Carbon fiber reinforced polymer composites present excellent mechanical properties, however, their behaviour under fatigue and the interaction between the different failure modes is not yet well understood. This uncertainty, or lack of knowledge, is
Publikováno v:
Digibug. Repositorio Institucional de la Universidad de Granada
instname
instname
This work presents a digital twin framework for structural engineering. The digital twin is conceptualised and mathematically idealised within the context of structural integrity, and includes the main attributes to behave as a functional digital twi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f76162a31974d8cea12dc5083cc5bc3
http://hdl.handle.net/10481/75690
http://hdl.handle.net/10481/75690
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