基于动态VIKOR扩展方法的混凝土重力坝施工方案多属性决策研究  

Multi-attribute decision making for construction schemes of concrete gravity dams based on dynamic VIKOR extension method

作　　者：钟登华[1] 赵江浩[1] 任炳昱[1] 关涛[1] 王飞[1] 

机构地区：[1]天津大学水利工程仿真与安全国家重点实验室,天津300072

出　　处：《水力发电学报》2017年第4期1-10,共10页Journal of Hydroelectric Engineering

基　　金：国家自然科学基金(51439005;51339003;51409186);黑龙江省应用技术研究与开发计划科技重大项目(GA14A501)

摘　　要：混凝土重力坝工程规模大,工期长,技术复杂。现有的施工方案多属性决策方法大部分都着眼于整个施工过程,无论是在指标的选取还是在指标权重的分析上,都很少考虑混凝土重力坝施工过程中指标以及其权重的变化。动态VIKOR扩展方法能够在可接受的优势以及决策方案稳定的程度下,对不同时段下各方案的表现进行量化排序,进而综合集成得出最终评价值。本文将动态VIKOR扩展方法应用到某混凝土重力坝施工方案多属性决策当中,根据施工组织设计,按照节点工期划分不同阶段,利用施工进度系统仿真得到不同阶段下各方案指标值,进而计算出各时段方案群体效应值以及个体遗憾值,最后按照时段集成各方案综合评价值,比较得出最优方案或折中方案,为混凝土重力坝施工方案多属性决策提供更为可靠的决策信息。Concrete gravity dam projects are often featured with a huge scale, long construction period and technical complexity. The existing methods of multi-attribute decision making mostly focus on the whole construction process of such projects, but ignore variations in the indexes of the process and their weights in selection or analysis of these crucial parameters. The dynamic VIKOR extension method can well describe the construction process and obtain a comprehensive evaluation of construction schemes through quantifying and sorting the performance of each scheme at different stages of the construction under the constraints of acceptable advantages and stable decision-making plans. In this work, this method was applied to multi-attribute decision-making of concrete gravity dam construction schemes. Construction schemes were divided into different stages based on the results of their simulations and construction planning, and the values of their indexes were calculated separately for these stages. A comprehensive evaluation was made by integrating the calculations of different stages, so that an optimal scheme or compromise scheme can be obtained for concrete gravity dam construction, providing more reliable information for multi-attribute decision-making.

关 键 词：混凝土重力坝 施工进度仿真 多属性决策 动态VIKOR扩展方法 

分 类 号：TV512[水利工程—水利水电工程]