Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Juan Chiachío"'
Autor:
Masoud Haghbin, Juan Chiachío, Sergio Muñoz, Jose Luis Escalona Franco, Antonio J. Guillén, Adolfo Crespo Marquez, Sergio Cantero-Chinchilla
Publikováno v:
Sensors, Vol 24, Iss 14, p 4627 (2024)
This paper presents a deep learning approach for predicting rail corrugation based on on-board rolling-stock vertical acceleration and forward velocity measurements using One-Dimensional Convolutional Neural Networks (CNN-1D). The model’s performan
Externí odkaz:
https://doaj.org/article/703836830adf4c2e8a46ee218d88ba44
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
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12310 (2023)
In response to escalating global environmental challenges, developed countries have embarked on an ecological transition across a range of sectors. Among these, the construction industry plays a key role due to its extensive use of raw materials and
Externí odkaz:
https://doaj.org/article/d86963bf98f24219b5f9d314845c57bf
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:
Enrique Hernández-Montes, María L. Jalón, Rubén Rodríguez-Romero, Juan Chiachío, Víctor Compán-Cardiel, Luisa María Gil-Martín
The deterioration of Cultural Heritage assets caused by the natural hazards is a pressing issue in many countries. Therefore, reliable models based on the large-scale structural response of the assets is key to assess their resilience. However, relia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b632e26ea852c8eedf876af89f1f62f6
https://hdl.handle.net/10481/82254
https://hdl.handle.net/10481/82254
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::784ed71723af4ac18d6eb1db5accee73
https://doi.org/10.36001/phmconf.2022.v14i1.3275
https://doi.org/10.36001/phmconf.2022.v14i1.3275
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:
EWSHM 2022: European Workshop on Structural Health Monitoring
Lecture Notes in Civil Engineering
Lecture Notes in Civil Engineering-European Workshop on Structural Health Monitoring
Lecture Notes in Civil Engineering ISBN: 9783031073212
Lecture Notes in Civil Engineering
Lecture Notes in Civil Engineering-European Workshop on Structural Health Monitoring
Lecture Notes in Civil Engineering ISBN: 9783031073212
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0934978e60ec1d61e3f2fc8ae66f7c1a