Zobrazeno 1 - 10
of 413
pro vyhledávání: '"J. Wagg"'
Publikováno v:
Frontiers in Built Environment, Vol 10 (2024)
Recent massive earthquakes have raised concerns that megathrust earthquakes with magnitude 9 can occur in the near future. This article discusses the critical behavior of structures involving torsion caused by extreme ground motions. Unlike factors s
Externí odkaz:
https://doaj.org/article/7eb6f68943464090829749c6e0ac8ab2
Autor:
David J. Wagg
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 71, Iss 3 (2023)
Reducing the effect of unwanted vibrations is an important topic in many engineering applications. In this paper we describe some recent developments in the area of passive vibration mitigation. This is based on a new device called the inerter which
Externí odkaz:
https://doaj.org/article/cff3f019e4ee4e0eaca9ee74ff444d54
Publikováno v:
Data-Centric Engineering, Vol 3 (2022)
Sensor placement optimization (SPO) is usually applied during the structural health monitoring sensor system design process to collect effective data. However, the failure of a sensor may significantly affect the expected performance of the entire sy
Externí odkaz:
https://doaj.org/article/1810245d222443cbac5bd55e93cfb5df
Autor:
Matthew S. Bonney, Marco de Angelis, Mattia Dal Borgo, Luis Andrade, Sandor Beregi, Nidhal Jamia, David J. Wagg
Publikováno v:
Data-Centric Engineering, Vol 3 (2022)
Externí odkaz:
https://doaj.org/article/3df2e136b43742ab8942254a669e94a7
Publikováno v:
Data-Centric Engineering, Vol 2 (2021)
A framework is proposed for generative models as a basis for digital twins or mirrors of structures. The proposal is based on the premise that deterministic models cannot account for the uncertainty present in most structural modeling applications. T
Externí odkaz:
https://doaj.org/article/bbebbe1be9dd4a148205c44b4487121a
Machine learning has affected the way in which many phenomena for various domains are modelled, one of these domains being that of structural dynamics. However, because machine-learning algorithms are problem-specific, they often fail to perform effi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::923ce2d3ccbe1f35cdf3ac010afe5f22
http://arxiv.org/abs/2307.09862
http://arxiv.org/abs/2307.09862
Publikováno v:
Heliyon, Vol 5, Iss 3, Pp e01245- (2019)
Background: Breastfeeding is a public health priority and lack of breastfeeding support a contributing factor to the low initiation and continuation rates in the UK. Online social support groups are being increasingly utilised by breastfeeding mother
Externí odkaz:
https://doaj.org/article/5e49a252972e4445a9730e73f1043490
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
Publikováno v:
International Breastfeeding Journal, Vol 17, Iss 1, Pp 1-12 (2022)
International Breastfeeding Journal
International Breastfeeding Journal
Background Milk sharing is not a new concept and occurs today via regulated human milk banks and unregulated online milk sharing groups. Exploring and understanding how, and why, mothers use these peers to peer milk sharing groups, is a vehicle to un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5f500ac6503ad4266bf2434090145b9
https://doaj.org/article/ab25be0ebb8647d292c3ae1ee232090f
https://doaj.org/article/ab25be0ebb8647d292c3ae1ee232090f