Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Shawn Kenny"'
Publikováno v:
Geo-Congress 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e988f308a2130fa1085375b3114820fe
https://doi.org/10.1061/9780784484708.049
https://doi.org/10.1061/9780784484708.049
Publikováno v:
Canadian Journal of Civil Engineering. 48:99-114
Two- and three-dimensional continuum finite element methods were used to assess the mechanical response of buried metal culverts subjected to service load conditions. The analysis explored the influence of the culvert profile, cover depth, section as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6289a69a5761a8c4d0fbb3c6a0166495
https://doi.org/10.1139/cjce-2019-0316
https://doi.org/10.1139/cjce-2019-0316
Publikováno v:
Canadian Geotechnical Journal. 55:1812-1823
The response of buried pipes and vertical strip anchors in dense sand under lateral loading is compared based on finite-element (FE) modeling. Incorporating strain-softening behaviour of dense sand, the progressive development of shear bands and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c5b8792b22646a5a1743cfb86d21aa5
https://doi.org/10.1139/cgj-2017-0492
https://doi.org/10.1139/cgj-2017-0492
Publikováno v:
Journal of Offshore Mechanics and Arctic Engineering. 143
Joining an additively manufactured component to a forged or cast part through welding processes has recently attracted the attention of engineers and scientists. This technique integrates the technical benefits of additive manufacturing (AM) technolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22038a1f8b3cac526e6c4bc5b5e79e65
https://doi.org/10.1115/1.4047791
https://doi.org/10.1115/1.4047791
Autor:
Venkat P. Nemani, Shawn Kenny, Mohammadkazem Sadoughi, Hao Lu, Jeff Sidon, Chao Hu, Adam Thelen, Sheng Shen, Keith E. Webster, Matthew J. Darr
Publikováno v:
Engineering Applications of Artificial Intelligence. 103:104295
In recent years, advances in computer technology and the emergence of big data have enabled deep learning to achieve impressive successes in bearing condition monitoring and fault detection. While existing deep learning approaches are able to efficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96f23cd8706bbe86a9f8119e0cf9eef8
https://doi.org/10.1016/j.engappai.2021.104295
https://doi.org/10.1016/j.engappai.2021.104295
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42cd6db88560a517b05a4b4ed949977c
https://doi.org/10.1061/9780784482650.004
https://doi.org/10.1061/9780784482650.004
Autor:
Shawn Kenny
Publikováno v:
Current Trends in Civil & Structural Engineering. 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c535750a9b37093d3f6cf06ed85a7e85
https://doi.org/10.33552/ctcse.2019.02.000537
https://doi.org/10.33552/ctcse.2019.02.000537
Autor:
Shawn Kenny, Kenton Pike
Publikováno v:
Canadian Geotechnical Journal. 53:1866-1881
Offshore pipelines in ice environments may be subjected to unique geohazards such as seabed ice gouging. These events involve nonlinear processes including large deformations and strains, contact mechanics, and failure mechanisms. Current pipeline en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57790ed5a343e620c5d3e21e7e62537b
https://doi.org/10.1139/cgj-2016-0090
https://doi.org/10.1139/cgj-2016-0090
Publikováno v:
Canadian Geotechnical Journal. 53:490-504
Finite element (FE) analyses of pipeline–soil interaction for pipelines buried in dense sand subjected to lateral ground displacements are presented in this paper. Analysis is performed — using the Arbitrary Lagrangian–Eulerian (ALE) method ava
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec6edda2e24b53ecd457b8665ae24eab
https://doi.org/10.1139/cgj-2015-0171
https://doi.org/10.1139/cgj-2015-0171