Yu Deng

Mr. Yu Deng

Yellow River Institute of Hydraulic Research
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 October 2022 in Polymers
Verified
Journal Article
Open access
PDF file
JWJuan Wang
Juan Wang
JWJuan Wang
Juan Wang
YDYu Deng
Yu Deng
Peng ZhangPeng Zhang
Peng Zhang
Temperature is one of the main factors affecting the properties of polyurethane foams, and there are large differences in the mechanical properties of polyurethane foams at different temperatures. To understand the effect of temperature on the mechanical properties of polyurethane foams and to provide a theoretical basis for the application of polyurethane foams in extreme environments, this paper systematically describes the research on the effect of mold temperature, raw material temperature, and environmental temperature on the microstructure and mechanical properties of polyurethane foams in the formation and service stages of rigid polyurethane foams by domestic and foreign scholars, and summarizes the effect of temperature on the mechanical properties of polyurethane foams and the mechanism of action. A review of the literature shows that the effect of different temperatures on the mechanical properties of polyurethane foams can be summarized. The literature review shows that there are certain changes in the foaming process, pore structure, and mechanical properties of polyurethane foams at different temperatures, and the increase in temperature generally leads to the increase in pore size, decrease in density, and decrease in mechanical properties of polyurethane foams.

1 December 2019 in Cold Regions Science and Technology
Verified
Journal Article
Closed access
YDYu Deng
Yu Deng
ZLZongkun Li
Zongkun Li
ZLZhijun Li
Zhijun Li
JWJuan Wang
Juan Wang

24 November 2022 in Polymers
Verified
Journal Article
Open access
PDF file
JWJuan Wang
Juan Wang
SGShuang Gao
Shuang Gao
CZChao Zhang
Chao Zhang
YDYu Deng
Yu Deng
Peng ZhangPeng Zhang
Peng Zhang
Polyurethane foam materials have broad application prospects in practical engineering as flame retardants, waterproof coatings, and grout repair materials due to advantages such as light weight, quick forming, and good durability. Due to water’s low cost and convenience, water-reactive Polyurethane foam materials are widely used in engineering. The content of the water has a significant effect on the performance of polyurethane foams after molding. Polyurethane foams with anti-seepage and reinforcement effects are used in complex water environments for long durations. This study analyzed the effects of water content on properties and the diffusion mechanism of polyurethane foam materials in water. Additionally, the effect of the water environment on the polyurethane grouting material’s properties was summarized. Finally, this study discussed the future research directions of polyurethane foam materials in a water environment.

1 September 2021 in Construction and Building Materials
Verified
Journal Article
Closed access
JWJuan Wang
Juan Wang
XLXun Li
Xun Li
CWCuixia Wang
Cuixia Wang
CZChao Zhang
Chao Zhang
HFHongyuan Fang
Hongyuan Fang
YDYu Deng
Yu Deng

21 February 2025 in Water
Verified
Journal Article
Open access
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MLMingyang Li
Mingyang Li
LMLI MingYang
LI MingYang
BZBaosen Zhang
Baosen Zhang
YYYusu Yue
Yusu Yue
JWJingwen Wang
Jingwen Wang
YDYu Deng
Yu Deng
The accurate acquisition of underwater topographic data is crucial for the representation of river morphology and early warning of water hazards. Owing to the complexity of the underwater environment, there are inevitably outliers in monitoring data, which objectively reduce the accuracy of the data; therefore, anomalous data detection and processing are key in effectively using data. To address anomaly detection in underwater terrain data, this paper presents an optimised DBSCAN-IForest algorithm model, which adopts a distributed computation strategy. First, the K-distance graph and Kd-tree methods are combined to determine the key computational parameters of the DBSCAN algorithm, and the DBSCAN algorithm is applied to perform preliminary cluster screening of underwater terrain data. The isolated forest algorithm is subsequently used to carry out refined secondary detection of outliers in multiple subclusters that were initially screened. Finally, the algorithm performance is verified through example calculations using a dataset of about 8500 underwater topographic points collected from the Yellow River Basin, which includes both elevation and spatial distribution attributes; the results show that compared with other methods, the algorithm has greater efficiency in outlier detection, with a detection rate of up to 93.75%, and the parameter settings are more scientifically sound and reasonable. This research provides a promising framework for anomaly detection in underwater terrain data.

31 May 2021 in Crystals
Verified
Journal Article
Open access
PDF file
YDYaodan Zhang, Zhijun Li, Yuanren Xiu, Chunjiang Li, Baosen Zhang, Yu Deng
Yaodan Zhang, Zhijun Li, Yuanren Xiu, Chunjiang Li, Baosen Zhang, Yu Deng
Zhijun LiZhijun Li
Zhijun Li
YXYuanren Xiu
Yuanren Xiu
CLchunjiang li
chunjiang li
BZBaosen Zhang
Baosen Zhang
YDYu Deng
Yu Deng
Frazil particles, ice crystals or slushy granules that form in turbulent water, change the freezing properties of ice to create “frazil ice”. To understand the microstructural characteristics of these particles and the physical properties of frazil ice in greater depth, an in situ sampler was designed to collect frazil particles in the Yellow River. The ice crystal microstructural characteristics of the frazil particles (morphology, size, air bubble, and sediment) were observed under a microscope, and their nucleation mechanism was analyzed according to its microstructure. The physical properties of frazil ice (ice crystal microstructure, air bubble, ice density, and sediment content) were also observed. The results showed that these microstructures of frazil particles can be divided into four types: granular, dendritic, needle-like, and serrated. The size of the measured frazil particles ranged from 0.1 to 25 mm. Compared with columnar ice, the crystal microstructure of frazil ice is irregular, with a mean crystal diameter less than 5 mm extending in all directions. The crystal grain size and ice density of frazil ice are smaller than columnar ice, but the bubble and sediment content are larger.