Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Robin S. Mills"'
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:
Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Robin S. Mills, Purim Ladpli, Timothy J. Rogers
Publikováno v:
Sensors, Vol 23, Iss 1, p 185 (2022)
Ultrasonic guided waves offer a convenient and practical approach to structural health monitoring and non-destructive evaluation. A key property of guided waves is the fully defined relationship between central frequency and propagation characteristi
Externí odkaz:
https://doaj.org/article/1f9d88a1366847e9a2d420a3dd8a2f55
Publikováno v:
Bulletin of Earthquake Engineering. 21:1389-1409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b4cfb87c4b4a5066c5a866d5d3f6329
https://doi.org/10.1007/s10518-022-01376-1
https://doi.org/10.1007/s10518-022-01376-1
Autor:
TINA A. DARDENO, MARCUS HAYWOOD-ALEXANDER, ROBIN S. MILLS, LAWRENCE A. BULL, NIKOLAOS DERVILIS, KEITH WORDEN
Publikováno v:
Proceedings of the 13th International Workshop on Structural Health Monitoring.
Structural health monitoring (SHM) systems have been implemented across multiple engineering applications, and SHM remains an active area of research addressing the improved safety, reliability, and management of these structures. Several challenges,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a124ad7e58fd1e95ea8ea28c71b9b274
https://doi.org/10.12783/shm2021/36344
https://doi.org/10.12783/shm2021/36344
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c5bbdbac0d9861535fc9ea33a8dead6
https://doi.org/10.2139/ssrn.3962057
https://doi.org/10.2139/ssrn.3962057
Publikováno v:
Data Science in Engineering, Volume 9 ISBN: 9783031041211
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1947e7210a6243b56ce07b178a0422a0
https://doi.org/10.1007/978-3-031-04122-8_13
https://doi.org/10.1007/978-3-031-04122-8_13
