[1]李云,吴小萍,廖群立..既有铁路隧道衬砌裂损维修决策研究[J].郑州大学学报(工学版),2012,33(04):14-17.[doi:10.3969/j.issn.1671-6833.2012.04.004]
 LI Yun,WU Xiaoping,LIAO Qunli.Decision Research of the Existing Railway Tunnel Lining Crack Maintenance[J].Journal of Zhengzhou University (Engineering Science),2012,33(04):14-17.[doi:10.3969/j.issn.1671-6833.2012.04.004]
点击复制

既有铁路隧道衬砌裂损维修决策研究()
分享到:

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
33
期数:
2012年04期
页码:
14-17
栏目:
出版日期:
2012-07-10

文章信息/Info

Title:
Decision Research of the Existing Railway Tunnel Lining Crack Maintenance
作者:
李云吴小萍廖群立.
中南大学土木建筑学院,湖南长沙,410075, 中南大学土木建筑学院,湖南长沙,410075, 中南大学土木建筑学院,湖南长沙,410075
Author(s):
LI YunWU XiaopingLIAO Qunli
School of Civil and Architectural Engineering,Central South University,Changsha 410075, China
关键词:
隧道衬砌 粗糙集 多层次灰色综合评判 决策
Keywords:
tunnel lining rough set multi-level gray comprehensive evaluation decision
分类号:
U25
DOI:
10.3969/j.issn.1671-6833.2012.04.004
摘要:
既有铁路隧道衬砌裂损维修方案的合理选择,受到投资成本、自然环境和施工难易程度等因素的影响.针对这些因素,笔者利用可辨识矩阵启发式约简算法、专家评判法和多层次灰色综合评判法综合建立既有铁路隧道衬砌维修方案决策模型.该模型采用可辨识矩阵启发式约简算法对指标层进行客观定权,采用专家评判法对子目标进行主观定权,保证了求取权重的科学性.同时,该模型采用灰色理论中的多层次灰色综合评价法对既有铁路隧道衬砌维修方案进行综合决策,保证了决策结果的可靠性.实例应用表明,该方法可定量地得出所需结果,具有一定的推广价值.
Abstract:
The choice of maintenance project for existing railway tunnel lining crack is influenced by many fac.tors, including the investment costs, the natural environment and feasibility degree. In response to these fac.tors, this paper uses discernibility matrix heuristie reduction algorithm, expert evaluation method and multi.level gray comprehensive evaluation method to establish a comprehensive maintenance project for existing rail.way tunnel lining decision-making model. The model weights the Index layer objectively by using Matrix Re-duction Algorithm and weights the sub goals subjectively by using expert evaluation method, which ensures thescientific consideration of the weight, At the same time, the model decides the existing railway tunnel liningmaintenanee project comprehensively by using multi-level gray eomprehensive evaluation method to ensure thereliability of the results of decision-making. Examples of application show that the method can get the desiredquantitative results obtained, and it can be used more widely.

相似文献/References:

[1]王杰,王晓换..滚动轴承故障诊断虚拟系统的实现[J].郑州大学学报(工学版),2010,31(02):120.
 WANG Jie,WANG Xiaochange.Development of a Virtual Fault Diagnostic System For Rolling Bearing[J].Journal of Zhengzhou University (Engineering Science),2010,31(04):120.
[2]石金彦,黄士涛,雷文平..粗糙集与决策树结合诊断故障的数据挖掘方法[J].郑州大学学报(工学版),2003,24(01):109.[doi:10.3969/j.issn.1671-6833.2003.01.027]
 Shi Jinyan,HUANG Shitao,Raven Ping.A data mining method that combines rough sets with decision trees to diagnose failures[J].Journal of Zhengzhou University (Engineering Science),2003,24(04):109.[doi:10.3969/j.issn.1671-6833.2003.01.027]

更新日期/Last Update: 1900-01-01