Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jiangjiang Yin"'
Publikováno v:
International Journal of Coal Science & Technology, Vol 10, Iss 1, Pp 1-17 (2023)
Abstract A comprehensive evaluation method is proposed to analyze dust pollution generated in the production process of mines. The method employs an optimized image-processing and deep learning framework to characterize the gray and fractal features
Externí odkaz:
https://doaj.org/article/47f27daf1254448ea6382dd5f9834868
Autor:
Ze Xu, Jiangjiang Yin
Publikováno v:
Buildings, Vol 13, Iss 7, p 1871 (2023)
To investigate the wind-induced response and equivalent wind load of a super-tall building, an aeroelastic model of the building was designed to measure aerodynamic interference in wind tunnel tests. Experiments on pressure and vibration measurements
Externí odkaz:
https://doaj.org/article/916be7fad8ad484686bf0bcf2dfd77a0
Pollutant Migration Pattern during Open-Pit Rock Blasting Based on Digital Image Analysis Technology
Publikováno v:
Mathematics, Vol 10, Iss 17, p 3205 (2022)
Previous studies have revealed that toxic gases and dust (smoke dust) are the most common pollutants generated by the blasting operations in open-pit mines, which might lead to a threat to the environment’s condition, health and safety, and propert
Externí odkaz:
https://doaj.org/article/af71a63e42a343c59af59eaa7f45c680
Publikováno v:
Journal of Physics: Conference Series. 2441:012013
Numerical simulations are performed to investigate the effects of shallow trenches on the adiabatic film cooling effectiveness (ηad) of single row film cooling on the pressure side of a turbine guide vane, under the cascade representative conditions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ac84d1940593bd432df3e23823cfd61
https://doi.org/10.1088/1742-6596/2441/1/012013
https://doi.org/10.1088/1742-6596/2441/1/012013
Publikováno v:
Journal of Cleaner Production. 379:134691
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13a16888a47a58a2b91f6af7023d8706
https://doi.org/10.1016/j.jclepro.2022.134691
https://doi.org/10.1016/j.jclepro.2022.134691