高速铁路长大桥梁救援定点的选址决策模型

发布时间：2018-04-24 07:25

本文选题：高速铁路长大桥梁 + 救援定点　；参考：《哈尔滨工业大学学报》2017年03期

【摘要】：为提高高速铁路的防灾能力,确保救援定点布局经济合理,采用约束最优化法进行长大桥梁救援定点的选址决策.研究分析救援定点选址决策的3个约束条件:设置间距、风险等级和救援时程.以各地方救援部门至救援定点的时程总和最小为目标,建立长大桥梁救援定点的选址决策模型,并对模型进行实例验证.结果表明:当区间桥梁长度大于10 km时,应该沿线路方向每隔约6~10 km设置一处救援定点;应用贝叶斯网络理论评价救援定点备选位置的风险等级和采用Dijkstra算法求解地方救援部门至救援定点之间的最优时程是合理有效的.该模型计算过程简单,评价结果可靠,能够较好地解决长大桥梁救援定点的选址决策问题.
[Abstract]:In order to improve the disaster prevention ability of high-speed railway and ensure the economic and reasonable distribution of rescue sites, the constrained optimization method is used to make the location decision of rescue fixed points for long bridges. This paper studies and analyzes three constraints for the decision of rescue site selection: setting spacing, risk grade and rescue time course. Aiming at the minimum sum of time between the local rescue department and the rescue site, the decision model of the location of the rescue site of the long bridge is established, and the model is verified by an example. The results show that when the length of the bridge is more than 10 km, a rescue spot should be set up every 6 ~ 10 km along the road. It is reasonable and effective to apply Bayesian network theory to evaluate the risk level of the alternative location of the rescue site and to use Dijkstra algorithm to solve the optimal time history between the local rescue department and the rescue point. The model has the advantages of simple calculation process and reliable evaluation results, and it can solve the problem of location decision of long bridge rescue site.
【作者单位】：西南交通大学土木工程学院;高速铁路线路工程教育部重点实验室(西南交通大学);四川建筑职业技术学院铁道工程系;西南科技大学环境与资源学院;
【基金】：中国中铁股份有限公司科技开发计划项目(重点-70-2010-1)
【分类号】：U447

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