scholarly journals Physical model experiment on the influence of water depth on the underwater pipeline surface impacted by landslide surge

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hong Ji ◽  
Weikang Liu ◽  
Ke Yang ◽  
Juncheng Jiang ◽  
Zhixiang Xing ◽  
...  

AbstractA physical model experiment of flume block landslide was used to study the influence of landslide surge impact on underwater pipeline surface under different water depths. The influence of surge impact pressure on pipelines with different water depths and the impact pressure of surge at different angles of underwater pipelines wall were analyzed. And the relationship between the maximum impact pressure of underwater pipelines and the depth of water was obtained. The results indicated that with the decrease of the water depths, the maximum impact pressure at the wall of the underwater pipeline increases approximately linearly, and the slider is easier to form higher first wave height. The maximum impact pressure of the upper surface of the pipeline wall is greater than that of the lower surface of the pipeline wall under the same working conditions. It is also found that the smaller the depth of water, the larger the maximum pressure and average pressure at the measuring point would be and the greater the pressure fluctuation becomes when slider volume and landslide water inlet angle and speed remain the same.

2012 ◽  
Vol 610-613 ◽  
pp. 1533-1539 ◽  
Author(s):  
Xing Lian Ye ◽  
Ding Yang

Based on the Selective Catalystic Reduction (SCR) DeNOx project for 2×330MW-unit in a coal power plant, the gas flow field in SCR system has been optimized by numerical simulation. The optimized simulation results were compared with the physical model experiment, and the fly ash sedimentation in the duct was also investigated. Correlation analysis of the results shows that, the flow field predicted by numerical simulation matches very well with that of physical model experiment. Numerical simulation can not only predict but also improve the flow field in SCR system. The combination of simulation and physical model experiment provides a reliable basis for flow field optimization design in SCR system.


2012 ◽  
Vol 9 (2) ◽  
pp. 207-212 ◽  
Author(s):  
Zheng-Hua Yang ◽  
Yi-Jian Huang ◽  
Yong-Xin Wu

1996 ◽  
Author(s):  
Steven A. Markley ◽  
Daniel A. Ebrom ◽  
Karuthethil K. Sekharan ◽  
John A. McDonald

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