Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Huokun Li"'
Arch dam point cloud segmentation based on deep feature learning and normal vector data optimization
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Separating the dam body, spillway, and other structures from the point cloud in the dam area is an important step in dam deformation monitoring. Manual segmentation is time consuming and inaccurate. This study proposes a point cloud segmenta
Externí odkaz:
https://doaj.org/article/93414ab7bf3c44c59e9693b96b31dec0
Autor:
Wentao Wang, Huiqi Zhu, Yingxin Cheng, Yiyuan Tang, Bo Liu, Huokun Li, Fan Yang, Wenyuan Zhang, Wei Huang, Fang Zheng
Publikováno v:
Water, Vol 15, Iss 24, p 4287 (2023)
To address the issue of the vibration characteristic signals of floodgates being affected by background white noise and low-frequency water flow noise, a noise reduction method combining the improved adaptive singular value decomposition algorithm (A
Externí odkaz:
https://doaj.org/article/63cef4a7ff904c3b9b40aa52f9c78675
Publikováno v:
Water, Vol 15, Iss 21, p 3869 (2023)
The dam-break water flow is a complex fluid motion, showing strong nonlinearity and stochasticity. In order to better study the characteristics of the dam burst flood, the smooth particle hydrodynamics (SPH) method was chosen to establish a two-dimen
Externí odkaz:
https://doaj.org/article/5a6cde98df01455b9fbe120589d958f7
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7455 (2022)
The analysis of the vibration-transmission path is one of the keys to the vibration control and safety monitoring of a hydropower house, and the vibration source of the hydropower house is complex, making it more difficult to analyze the vibration-tr
Externí odkaz:
https://doaj.org/article/7783f8622dfe4722a7ca21a26fda86db
Publikováno v:
Energies, Vol 14, Iss 24, p 8580 (2021)
Complete pump characteristics (CPCs) are the key for establishing pump boundary conditions and simulating hydraulic transients. However, they are not normally available from manufacturers, making pump station design difficult to carry out. To solve t
Externí odkaz:
https://doaj.org/article/b0f6e1c5cd1349ffa563dbd45c47afe3
Publikováno v:
Energies, Vol 14, Iss 17, p 5247 (2021)
Surge tanks (STs) are important facilities for ensuring the safety of hydropower stations. Reducing the ST size under the premise of ensuring stable mass oscillations within the ST is the main issue. First, according to the basic equations of the mas
Externí odkaz:
https://doaj.org/article/17ea6412c5bf4fc79d2cf1c8317e9d2e
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 3, p 184 (2021)
Dam deformation monitoring can directly identify the safe operation state of a dam in advance, which plays an important role in dam safety management. Three-dimensional (3D) terrestrial laser scanning technology is widely used in the field of deforma
Externí odkaz:
https://doaj.org/article/3a527bf45d4f4bbfba33a76cd015b61a
Publikováno v:
Structures. 50:430-443
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bf8f01d2845ec6955aaa07c7ed1362a
https://doi.org/10.1016/j.istruc.2023.02.010
https://doi.org/10.1016/j.istruc.2023.02.010
Publikováno v:
Journal of Vibration and Control. 28:2556-2569
It is crucial for flood discharge structure vibration safety evaluations to filter low-frequency noise, separate dense-frequency components and obtain high-frequency component accurately from vibration signals. Variational mode decomposition, a novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc1c3b791334156dcd8aedd18b902663
https://doi.org/10.1177/10775463211016132
https://doi.org/10.1177/10775463211016132
Publikováno v:
Applied Mathematical Modelling. 91:297-310
The vibration signal of a high arch dam flow discharge structure under the excitation of water flow is difficult to extract because the vibration signals are weak, low-frequency, and easily submerged by noise. To address the problem of modal confusio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81560a19e094ee9fd6ee22fbe3192a56
https://doi.org/10.1016/j.apm.2020.09.048
https://doi.org/10.1016/j.apm.2020.09.048