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Minimum collective dose based optimal evacuation path-planning method under nuclear accidents
Annals of Nuclear Energy ( IF 1.9 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.anucene.2020.107644
Qiu-Yan Pei , Li-Juan Hao , Chun-Hua Chen , Xiao-Lei Zheng , Tao He

Abstract The effectiveness of the path plan is the main factor of the evacuation affecting the amount of exposure to personnel, however, the effect of the radiation field distribution has not been fully considered in current studies. In this paper, a Minimizing Collective dose based Path-Planning method (MCPP) was proposed. Among which, the accumulative dose based Dijkstra algorithm was proposed to find the optimal evacuation routes, and then the equilibrium model considering road resistance was used to formulate the optimal evacuation path plan under nuclear accidents, in which the obtained routes were reasonably arranged to evacuate all people with minimize collective dose. This paper used the Daya Bay Nuclear Power Station as an application scenario for evacuation simulation to verify the effectiveness of the method. The results showed that the path plan formulated by MCPP method could reasonably reduce personnel radiation exposure during the evacuation process.

中文翻译:

核事故下基于最小集体剂量的最优疏散路径规划方法

摘要 路径规划的有效性是影响人员受照量疏散的主要因素,但目前的研究尚未充分考虑辐射场分布的影响。在本文中,提出了一种基于最小化集体剂量的路径规划方法(MCPP)。其中,提出了基于累积剂量的 Dijkstra 算法寻找最优疏散路线,然后利用考虑道路阻力的平衡模型制定核事故下的最优疏散路线方案,将得到的路线合理安排,以疏散所有人员。最小集体剂量的人。本文以大亚湾核电站作为疏散模拟的应用场景,验证了该方法的有效性。
更新日期:2020-11-01
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