Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Julian Gosliga"'
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
One of the major obstacles to the widespread uptake of data-based Structural Health Monitoring so far, has been the lack of damage-state data for the (mostly high-value) structures of interest. To address this issue, a methodology for sharing data an
Externí odkaz:
https://doaj.org/article/e0734267b69d4d949fd0044b4aeafa13
Autor:
Keith Worden, Lawrence A. Bull, Paul Gardner, Julian Gosliga, Timothy J. Rogers, Elizabeth J. Cross, Evangelos Papatheou, Weijiang Lin, Nikolaos Dervilis
Publikováno v:
Frontiers in Built Environment, Vol 6 (2020)
One of the main problems in data-based Structural Health Monitoring (SHM), is the scarcity of measured data corresponding to damage states in the structures of interest. One approach to solving this problem is to develop methods of transferring healt
Externí odkaz:
https://doaj.org/article/5339ca2873814118bdb2ef8f179d6bfc
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9783031072574
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::501608fc7361d8c55a4fb8ecdd8da3ce
https://doi.org/10.1007/978-3-031-07258-1_100
https://doi.org/10.1007/978-3-031-07258-1_100
Publikováno v:
Proceedings of the 13th International Workshop on Structural Health Monitoring.
This paper is the second in a series in which the aim is to provide an underlying database technology for enabling the user interaction required for Population-Based Structural Health Monitoring (PBSHM). In the first paper in the series, the groundwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b03ea878c662491dde15c0b14759674e
https://doi.org/10.12783/shm2021/36342
https://doi.org/10.12783/shm2021/36342
Autor:
PAUL GARDNER, LAWRENCE A. . BULL, JULIAN GOSLIGA, JACK POOLE, NIKOLAOS DERVILIS, KEITH WORDEN
Publikováno v:
Proceedings of the 13th International Workshop on Structural Health Monitoring.
One of the biggest problems facing the uptake of structural health monitoring (SHM) in industry is a general lack of available damage-state data. Population-based structural health monitoring (PBSHM) is one solution to this problem, expanding the ava
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adcb178d38d59bb787f1c7769f09819a
https://doi.org/10.12783/shm2021/36243
https://doi.org/10.12783/shm2021/36243
Autor:
Elizabeth J. Cross, Keith Worden, Evangelos Papatheou, Paul Gardner, L.A. Bull, Julian Gosliga, Nikolaos Dervilis
Publikováno v:
Structural Integrity ISBN: 9783030817152
One of the dominant challenges in data-based structural health monitoring (SHM) is the scarcity of measured data corresponding to different damage states of the structures of interest. A new arsenal of advanced technologies is described here that can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5e9a25a0646af05b80d4c4f590ba97f
https://eprints.whiterose.ac.uk/188960/1/springer_pbshm.pdf
https://eprints.whiterose.ac.uk/188960/1/springer_pbshm.pdf
Publikováno v:
Topics in Modal Analysis & Testing, Volume 8 ISBN: 9783030477165
Population-based structural health monitoring opens up the possibility of using information from a population of structures to provide extra information for each individual structure. For example, population-based structural health monitoring could p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e59cd38efd2a789eb480382dd9f70890
https://doi.org/10.1007/978-3-030-47717-2_26
https://doi.org/10.1007/978-3-030-47717-2_26
Autor:
Keith Worden, Carles Campos, A.E. Maguire, L. A. Bull, Paul Gardner, Evangelos Papatheou, Nikolaos Dervilis, Timothy J. Rogers, Julian Gosliga, Elizabeth J. Cross
Publikováno v:
Model Validation and Uncertainty Quantification, Volume 3 ISBN: 9783030487782
Data-driven models in Structural Health Monitoring (SHM) generally require comprehensive datasets, recorded from systems in operation, which are rarely available. One potential solution to this problem, considers that information might be transferred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99759329a2bc56842ca74eae6bf610c5
https://doi.org/10.1007/978-3-030-47638-0_32
https://doi.org/10.1007/978-3-030-47638-0_32
Publikováno v:
Model Validation and Uncertainty Quantification, Volume 3 ISBN: 9783030487782
Population-based structural health monitoring (PBSHM) involves utilising knowledge from one set of structures in a population and applying it to a different set, such that predictions about the health states of each member in the population can be pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f678e0840d49b448c53006c83060455
https://doi.org/10.1007/978-3-030-47638-0_20
https://doi.org/10.1007/978-3-030-47638-0_20
Autor:
Julian Gosliga, Keith Worden
Publikováno v:
Structural Health Monitoring 2019.
One of the key challenges in SHM is obtaining information about the damage condition of a structure in order to detect and diagnose damage when it appears in a healthy structure. For large civil structures, such as bridges, it is simply uneconomical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fe07933d45095e5c3f312408cc20180
https://doi.org/10.12783/shm2019/32348
https://doi.org/10.12783/shm2019/32348