Real-time evaluation method of turbine rotor’s thermal stress with governing stage partial admission condition at low-load

Author(s):  
Kun Yao ◽  
Shuangshuang Fan ◽  
Weichun Ge ◽  
Xingshuo Li ◽  
Huanhuan Luo ◽  
...  

In order to ensure the safety and stability of the new energy power system, many power units will be maintained at low-load state for a long time during peak-load regulation in China. However, the partial arc admission of the nozzle governing mode will cause uneven temperature distribution in the circumferential direction after GS, which will affect real-time thermal stress of the rotor. Toward this end, this paper proposes a real-time evaluation method of thermal stress for rotors in low-load conditions. First of all, the solution boundary conditions of thermal stress model can be obtained by designing the measuring points arrangement after GS, which comprehensively takes into account the uneven temperature distribution of GS under low-load conditions. In the meantime, various punching schemes are analyzed by ANSYS, which used to analyze the influence of cylinder structure strength caused by the new measuring point punching of each scheme. The result shows that the punching impact on the stress and deformation of cylinder is not obvious, which has a great significance to reduce minimum technical output and improve peak governing capability of thermal power unit.

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Le-Ning Wang

To effectively evaluate the traffic safety risk of urban expressways in real time and ensure their traffic safety and smoothness, a real-time evaluation method of vehicle conflict risk of an urban expressway based on smartphone GPS data was proposed. We screened and processed smartphone GPS data to obtain vehicle behavior data, including acceleration and angular acceleration, and road state data, including average vehicle speed. Urban expressways were divided into four categories, closed straight section, closed curve section, vehicle entry section, and vehicle exit section; the evaluation indexes of abnormal vehicle behavior were established. Based on the improved entropy weight method, the vehicle conflict risk entropy was established to distribute the weight of different types of abnormal behaviors of vehicles. The evaluation system of vehicle conflict risk entropy was applied to the vehicle behavior data. Urban Expressways with more abnormal vehicle behavior were obtained to evaluate the risk of vehicle conflict in real time. The results showed that the easily obtained smartphone GPS data may be effectively used to analyze the abnormal behavior of vehicles, identify vehicle conflict risk points hidden in urban expressways in real time to provide effective methods for batch and dynamic real-time evaluations of vehicle conflict risks on urban expressways, and improve the traffic safety service level of urban expressways.


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