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基于综合优属度的大风区高速铁路线路方案优选研究

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为了应对西部路网扩张过程中必须面临的大风环境高铁建造问题,从问题的本源出发,研究选线设计与大风环境的耦合关系,建立科学的决策模型成为实现高速铁路高质量建设的关键内容.通过分析大风区高速铁路线路方案设计的主要影响因素并参考选线原则,从工程技术、生态环境、防风工程和社会效益4个方面选取22项指标,建立大风区高速铁路线路方案优选的多层次指标体系.采用三角模糊数对定性指标量化后,引入最佳去模糊性能值的方法将其转化为精确数,并融合粗糙集理论中的属性约简算法与信息熵理论,根据属性重要度将冗余或不重要的属性去除,实现初选指标的筛选.为使结果既能反映决策者的主观经验,又能反映指标数据的客观真实性,同时兼顾数据的变异和相互影响程度,分别采用G2法和CRITIC法进行主、客观赋权,并引入最优卡方距离的思想计算最终权重.最后,统筹考虑距离相似性和几何相似性维度,采用靶心距确定距离优属度以及与集合曲线趋势变化的趋同程度确定几何优属度,建立基于综合优属度的大风区高速铁路线路方案决策模型,并结合工程实例对模型进行验证.结果表明,基于本模型的大风区高速铁路方案的决策结果与工程实际具有较好的一致性,验证了模型的可靠性和适用性,为大风区高铁线路方案优化设计提供一定的理论支持.
Railway location optimization selection of high-speed railway in windy areas based on comprehensive superiority degree
In response to the challenge of constructing high-speed railways in the high-wind environment that must be faced during the expansion of the western transportation network,it is essential to study the coupling relationship between railway location selection design and windy environments,and establish a scientific and reasonable decision-making model.It has become a key aspect of high-quality construction of high-speed railways.In this paper,by analyzing the main influencing factors and principles of high-speed railway location design in windy areas,a multi-level index system for railway location optimization and selection of high-speed railways in windy areas was established.The system includes 22 indicators selected from four aspects:engineering technology,ecological environment,wind protection engineering,and social benefits.After quantifying the qualitative indicators using triangular fuzzy numbers,the method of optimal defuzzification performance values was used to convert the fuzzy numbers into precise numbers.Then,the attribute reduction algorithm in rough set theory and the information entropy theory were combined to remove redundant or unimportant properties based on their importance,achieving the screening of the initial candidate indicators.In order to ensure that the results reflect both the decision-maker's subjective experience and the objective reality of the indicator data,while also taking into account the degree of variation and mutual influence of the data,the G2 method and the CRITIC method were respectively employed for subjective and objective weighting.The concept of optimal chi-square distance was introduced to calculate the final weight.Finally,considering both the distance similarity and geometric similarity dimensions,the target center distance was used to determine the distance superiority degree.The convergence degree of trend change of the ensemble curve was used to determine the geometric superiority degree.Based on the comprehensive superiority degree,a decision-making model for high-speed railway location schemes in high-wind areas was established.The model was validated by introducing an engineering case.The results show that the decision-making results of the high-speed railway scheme in high-wind areas based on this model are consistent with the actual engineering,verifying the reliability and applicability of the model.Therefore,it can provide certain theoretical support for the optimization and design of high-speed railway location schemes in high-wind areas.

strong wind areahigh-speed railwayrailway location optimization selectionattribute reductioncomprehensive superiority degree

韩峰、王成祥、刘泽龙

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兰州交通大学 土木工程学院,甘肃 兰州 730070

大风环境 高速铁路 线路方案优选 属性约简 综合优属度

国家自然科学基金中央引导地方科技发展资金项目

5156803722ZY1QA005

2024

铁道科学与工程学报
中南大学 中国铁道学会

铁道科学与工程学报

CSTPCD北大核心EI
影响因子:0.837
ISSN:1672-7029
年,卷(期):2024.21(3)
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