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Xudong Ma, Lu Wang, Ruihua Nie, Kejun Yang and Xingnian Liu
This paper conducted an undistorted scaled model test (geometric scale ?L = 1:80; the others are derived scales based on Froude similitude) of a 1.3 km-long river reach in Shiting River, China, investigating the impacts of the grade control datum (GCD, d...
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Zijian Yu, Dan Wang and Xingnian Liu
Research of interactions between in-channel vegetation and flow structure is important for the restoration of aquatic ecosystems. This study aims to investigate the impact of the vegetation patch density on the wake structure. We used uniform fiberglass ...
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Xianglong Wei, Huaixiang Liu, Xiaojian She, Yongjun Lu, Xingnian Liu and Siping Mo
The stability number of a breakwater can determine the armor unit?s weight, which is an important parameter in the breakwater design process. In this paper, a novel and simple machine learning approach is proposed to evaluate the stability of rubble-moun...
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Haiyong Xu, Xingnian Liu, Fujian Li, Sheng Huang and Chao Liu
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Xianglong Wei, Yongjun Lu, Zhili Wang, Xingnian Liu and Siping Mo
Little research has been done on the application of machine learning approaches to evaluating the damage level of river training structures on the Yangtze River. In this paper, two machine learning approaches to evaluating the damage level of spur dikes ...
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Yufei Ding, Yong Liu, Xingnian Liu, Ridong Chen, Songdong Shao
Pág. 1 - 18
In engineering practice, the unsteady flows generated from the operation of hydropower station in the upstream region could significantly change the navigation system of waterways located in the middle-lower reaches of the river. In order to study the co...
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