基于MonteCarlo方法的长输管道气体扩散模拟研究-《中国安全生产科学技术》

文章信息/Info

Title:: Study on dispersion simulation of longdistant pipeline leaked gas based on MonteCarlo

作者:: 徐克¹; ²; 何华刚¹; 朱毅川¹; (1. 湖北省安全生产监督管理局安全科学技术研究中心,武汉 430070) (2.中国地质大学工程学院, 武汉 430074）

Author(s):: XU Ke; HE Huagang; ZHU Yichuan; （1.China University of Geosciences，Wuhan 430074，China) (2. Safety Science & Technology Research Center, Wuhan 430070, China）

Keywords:: longdistant pipeline; gas dispersion; random walk; complicate terrain

摘要:: 目前气体扩散模拟研究多采用流体力学的计算方法，分析气体扩散过程中的动力学特性。有限体积、有限元等方法都需要对事故区域整体进行网格划分，计算过程效率无法满足长输管道事故应急跨区域、多气象以及复杂地形的要求。MonteCarlo方法利用RAMS预测的平均风场，模拟有限气体粒子在风场中的随机行走特性，有效地弥补了计算效率与网格精度冲突所导致的模拟性能下降的缺点。通过HAVEGE方法收集计算的硬件信息熵形成随机源，修正了以往伪随机数问题，增强了MonteCarlo方法的计算精度。结果表明MonteCarlo气体扩散模拟研究方法满足了长输管道事故灾害应急决策的需要。

Abstract:: The gas dispersion simulations almost used the methods of computational fluid dynamics at present, which analyzed the dynamic mechanics of the dispersion. However FVM and FEM have to mesh the total accidental area and the computation of both failed to meet the accidents emergency requirements, which included crossregions, multiple meteorology and complicate terrains. Through researching the random walk performance of the particles in the average wind field predicted by the RAMS model, MonteCarlo method resolved simulating performance degradation stemming from the conflict between the computing efficiency and the meshing accuracy. Besides, the HAVEGE method corrected paseudorandom problem by collecting the computer hardware comentropy as a random resource increased the computing accuracy. The results showed that the gas dispersion simulation based on MonteCarlo could satisfy the requirement of the longdistant pipeline disasters emergency decisionmaking.