基于DS证据理论与综合赋权改进可拓法的黄土区重载铁路高填方路基服役性能评价
Service Performance Evaluation of High-filled Embankment for Heavy Haul Railways in Loess Areas Based on DS Evidence Theory and Combination Weighting Improved Extension Method
张棋 1苏谦 2刘宝森 3裴彦飞 1张宗宇 1陈德2
作者信息
- 1. 西南交通大学土木工程学院,四川成都 610031
- 2. 西南交通大学土木工程学院,四川成都 610031;西南交通大学高速铁路线路工程教育部重点实验室,四川成都 610031
- 3. 四川蜀道高速公路集团有限公司,四川成都 610094
- 折叠
摘要
为有效评价黄土区重载铁路高填方路基的变形与稳定状态,在重载铁路高填方路基服役性能初选评价指标库基础上,通过基于证据可信度的DS证据理论融合指标的重要度、独立度与区分度3项特征值,构建重载铁路高填方路基服役性能优选指标体系;基于综合赋权改进可拓评价法,建立针对重载铁路高填方路基服役性能的多层次综合评价模型,并利用该模型对大准及巴准铁路两段高填方路基服役性能进行评价.研究结果表明,上述两段高填方路基服役性能等级评价结果依次为差与良,并均通过了有效性检验;本文研究所提方法较云模型更能准确评价高填方路基服役性能,且比《铁路路基大维修规则》更能全面客观地反映高填方路基服役性能所处状态.研究结果可为黄土区重载铁路高填方路基服役性能状态评价提供参考.
Abstract
To effectively evaluate the deformation and stability of high-filled embankments for heavy haul railways in lo-ess areas,based on the DS evidence theory improved by evidence's credibility to fuse the value of importance,inde-pendence and discrimination of the primary evaluation indicators from the primary service performance evaluation indica-tor database,the optimal service performance evaluation indicator system was established for high-filled embankments in heavy-haul railways.Meanwhile,based on combination weighting improved extension method,a multi-level comprehen-sive evaluation model was presented for the service performance of high-filled embankments of heavy haul railways,while two sections of the Dazhun railway and Bazhun railway were evaluated.The results show that the two high-filled embank-ments have poor and ordinary performance grades respectively,with both passing the validity test.Furthermore,the method proposed in the paper can more accurately evaluate the service performance of high-filled embankments than the cloud model,as well as provide more thorough and objective high-filled embankment evaluation results than the Railway Subgrade Major Maintenance Rules.The study's findings are anticipated to provide reference for evaluating the service performance of high-filled embankments for heavy-haul railways in loess areas.
关键词
黄土地区/重载铁路/高填方路基/服役性能/DS证据理论/改进可拓评价Key words
loess areas/heavy haul railway/high-filled embankment/service performance/DS evidence theory/improved extension evaluation引用本文复制引用
基金项目
国家自然科学基金(51808462)
国家重点研发计划(2016YFC0802203)
四川省自然科学基金(23NSFSC0811)
呼和浩特市科技计划(2021-重-社-3)
出版年
2024
NETL
NSTL
万方数据