Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yening Shu"'
Publikováno v:
Frontiers in Materials, Vol 9 (2022)
Pressure mapping has garnered considerable interest in the healthcare and robotic industries. Low-cost and large-area compliant devices, as well as fast and effective computational algorithms, have been proposed in the last few years to facilitate di
Externí odkaz:
https://doaj.org/article/f1a0cb23890d48a79bb4de35870e69a0
Autor:
Yening Shu, Saptarshi Mukherjee, Tammy Chang, Abigail Gilmore, Joseph W. Tringe, David M. Stobbe, Kenneth J. Loh
Publikováno v:
Sensors, Vol 22, Iss 23, p 9167 (2022)
Cellular lattice structures possess high strength-to-weight ratios suitable for advanced lightweight engineering applications. However, their quality and mechanical performance can degrade because of defects introduced during manufacturing or in-serv
Externí odkaz:
https://doaj.org/article/b8b718d139dc4baeb798d616e94df8c3
Publikováno v:
Sensors, Vol 22, Iss 3, p 812 (2022)
Strain measurements are vital for monitoring the load-bearing capacity and safety of structures. A common approach is to affix strain gages onto structural surfaces. On the other hand, most aerospace, automotive, civil, and mechanical structures are
Externí odkaz:
https://doaj.org/article/7ecbc697d42446c7876abb6dc96e93c5
Autor:
Simon Laflamme, Filippo Ubertini, Alberto Di Matteo, Antonina Pirrotta, Marcus Perry, Yuguang Fu, Jian Li, Hao Wang, Tu Hoang, Branko Glisic, Leonard J Bond, Mauricio Pereira, Yening Shu, Kenneth J Loh, Yang Wang, Siqi Ding, Xinyue Wang, Xun Yu, Baoguo Han, Yiska Goldfeld, Donghyeon Ryu, Rebecca Napolitano, Fernando Moreu, Giorgia Giardina, Pietro Milillo
Publikováno v:
Measurement Science and Technology.
Structural Health Monitoring (SHM) is the automation of the condition assessment process of an engineered system. When applied to geometrically large components or structures, such as those found in civil and aerospace infrastructure and systems, a c
Publikováno v:
Structural Health Monitoring. :147592172311678
Information on the presence and location of cracks in civil structures can be precious to support operators in making decisions related to structural management and scheduling informed maintenance. This paper investigates the efficacy of supervised m