基于灰色关联和证据推理的混凝土坝浇筑仓位排序方法  

Sequencing for conevete dam placement based on grey correlation and evidential reasoning

作　　者：卞小草[1] 胡志根[1] 

机构地区：[1]武汉大学水资源与水电工程科学国家重点实验室,湖北武汉430072

出　　处：《武汉大学学报（工学版）》2014年第3期294-299,共6页Engineering Journal of Wuhan University

基　　金：国家自然科学基金项目(编号:51279137)

摘　　要：针对复杂条件因素影响下混凝土坝浇筑仓位排序过程的不确定性问题,提出了一种基于灰色关联和证据推理的仓位排序方法.以全体可浇筑仓位作为对象识别框架,利用浇筑仓位的各属性指标作为证据源,通过计算指标特征值的灰色关联系数求解指标的信息不确定度,实现浇筑仓位选择指标的基本概率分配,构建识别仓位浇筑优先级的证据体,采取Dempster合成法则的证据融合确定浇筑仓位.最后,结合工程实例验证了方法的可行性和有效性.To tackle the uncertainty of the sequencing for conevete dam placement incurred by complex con- ditions, this study proposes a novel coneveting sequencing approach based on grey correlation and eviden- tial reasoning. A frame of object discernment is established from all potential dam blocks. The attribute indices of the dam block are assigned to be the evidence sources. The degree of ignorance of each index is derived from the calculation of the grey incidence coefficients of the index characteristic values. Such mod- eling ensures the basic probability assignment of each index and creates the evidence body to identify the pouring priority of the dam blocks. The dam block ready to be applied is derived from the merged evidence via Dempster combination rules. The feasibility and efficiency of the established model is tested and verified by a case study.

关 键 词：混凝土施工 浇筑仓位排序 灰色关联 证据推理 基本概率分配 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]