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Zhang, Peng (author), Liu, Wei (author), Liu, Siming (author), Tian, Xu (author), Li, Yimiao (author), Huang, Y. (author)
Corrosion poses a significant risk to the safety of energy pipelines, while landslide disasters emerge as the primary threat responsible for triggering pipeline failures across mountainous areas. To date, there is limited research focused on the safety of energy pipelines considering the synergistic effect of corrosion and landslides. The...
journal article 2023
document
Li, Yonghao (author), Zhang, Ning (author), Sun, Renjuan (author), Guan, Yanhua (author), Liu, Lemin (author), Tian, Changjin (author), Ling, Yifeng (author), Zhang, Hongzhi (author), Šavija, B. (author)
The performance of engineered cementitious composites (ECCs) under coupled salt freezing and loaded conditions is important for its application on the transportation infrastructure. However, in most of the studies, the specimens were generally loaded prior to the freezing. The influence of sustained load was merely considered. To this end,...
journal article 2023
document
Tian, Zhan (author), Yu, Ziwei (author), Li, Yifan (author), Ke, Q. (author), Liu, Junguo (author), Luo, Hongyan (author), Tang, Yingdong (author)
Climate change and rapid urbanization have made it difficult to predict the risk of pollution in cities under different types of rainfall. In this study, a data-driven approach to quantify the effects of rainfall characteristics on river pollution was proposed and applied in a case study of Shiyan River, Shenzhen, China. The results indicate...
journal article 2022
document
Huang, Xinxing (author), Li, Yifan (author), Tian, Zhan (author), Ye, Qinghua (author), Ke, Q. (author), Fan, Dongli (author), Mao, Ganquan (author), Chen, Aifang (author), Liu, Junguo (author)
Efficient and accurate streamflow predictions are important for urban water management. Data-driven models, especially neural network (NN) models can predict streamflow fast, while the results are uncertain in some complex river systems. Physically based models can reveal the underlying physics, but it is relatively slow and computationally...
journal article 2021
document
Liu, Changjiang (author), Li, Y. (author), Ao, Dongyang (author), Tian, Haiyan (author)
Radar sensors offer several advantages over optical sensors in the gesture recognition for remote control of electronic devices. In this paper, we investigate the feasibility of human gesture recognition using the spectra of radar measurement parameters. With the combination of radar theory and classification methods, we found that the...
journal article 2019
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