Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Huadong Wei"'
Publikováno v:
Applied Sciences, Vol 10, Iss 21, p 7867 (2020)
Moisture diffusion in cement-based materials significantly impacts its durability. In this study, we analyzed the effect of adding a waterproofing agent and nano-SiO2 (NS) on the water transportation process in mortar using capillary water absorption
Externí odkaz:
https://doaj.org/article/acb53be97e0c47ad9eb2a0965a62f5bb
Publikováno v:
Advances in Structural Engineering. 24:2176-2184
Recycled concrete has been widely used in construction because of the gradual shortage of natural aggregate resources and the large amount of construction waste. In this study, concrete with 100% recycled aggregate was prepared, and its properties, m
Comparative Analysis of Different Connection Schemes for Power balance Machine in Power Plant System
Publikováno v:
2022 IEEE 5th International Electrical and Energy Conference (CIEEC).
Publikováno v:
2022 IEEE 5th International Electrical and Energy Conference (CIEEC).
Publikováno v:
Nanotechnology Reviews, Vol 9, Iss 1, Pp 79-92 (2020)
Influence of nano-strengthening immersion on the properties of recycled aggregate (RA) and recycled aggregate concrete (RAC) and the microstructure of interfacial transition zones (ITZs) between mortar and aggregate were studied in this paper. Result
Publikováno v:
Thermochimica Acta. 675:127-133
Effect of nano-SiO2(NS) with the sizes of 15nm and 50nm on the hydration heat of cement mortar was measured and its behavior in the hydration kinetics of NS was analyzed based on the Krstulovic-Dabic model. Results showed that NS could improve the va
Publikováno v:
Materials
Volume 14
Issue 10
Materials, Vol 14, Iss 2631, p 2631 (2021)
Volume 14
Issue 10
Materials, Vol 14, Iss 2631, p 2631 (2021)
Mixed recycled aggregate (MRA) is a kind of recycled aggregate containing discarded bricks and other impurities that is inferior to ordinary recycled concrete aggregate. To study the effect of MRA in concrete, specimens with 100% MRA under different
Autor:
Li Du, Wei Zhuang, Zhongfeng Wang, Lei Chen, Huadong Wei, Yuan Du, Zhuang Shao, Chenjia Xie, Xiaoliang Chen
Existing deep convolutional neural networks (CNNs) generate massive interlayer feature data during network inference. To maintain real-time processing in embedded systems, large on-chip memory is required to buffer the interlayer feature maps. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7abf635d6ca523c7d7ba3245978204d
Publikováno v:
Construction and Building Materials. 327:126934