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基于OPA的特大基坑导流方案风险决策方法研究OA

Research on Risk Decision-making for Diversion Schemes in Large-scale Deep Excavations Based on OPA

中文摘要英文摘要

水利水电工程导流方案优选属于多目标决策问题.研究针对某大型水电站工程的特有风险场景:其基坑范围巨大,围堰溃决将引发基坑淹没,造成巨大的经济损失并导致严重的工期延误.该特大基坑导流系统方案的决策问题相比于一般高山峡谷特性差异显著,需充分考虑基坑淹没相关损失.在导流标准风险分析的基础上,综合分析导流系统确定型投资、特大基坑淹没风险损失、围堰填筑强度和运行期间的动态风险;考虑Ordinal Priority Approach(OPA)方法特性,建立基于改进OPA方法的导流风险决策模型,对备选方案集进行决策分析.案例分析说明,OPA方法较好地反映了特大基坑导流系统的风险损失特性,支持了导流方案的优选.

The optimal selection of diversion schemes for water conservancy and hydropower projects is a multi-objective decision-making problem.This study addresses the unique risk scenario of an ultra-large-scale hydropower station project:its exceptionally large foundation pit area means that cofferdam breaching would trigger complete pit inundation,causing substantial economic losses and severe project delays.The decision-making process for diversion schemes in such extra-large foundation pits differs significantly from those in typical alpine canyon settings,necessitating comprehensive consideration of inundation-related losses.Building upon risk analysis of diversion standards,this research holistically evaluates four decision factors:deterministic investments in the diversion system,risk losses from extra-large foundation pits inundation,cofferdam filling intensity constraints,and dynamic risks during operation.Leveraging the characteristics of the Ordinal Priority Approach(OPA),we establish an enhanced OPA-based risk decision model to analyze alternative schemes.Case studies demonstrate that this method effectively captures the risk-loss characteristics of mega-foundation-pit diversion systems and facilitates optimal scheme selection.

张超;刘全;刘杰元;张小蕾;罗立哲

中国电建集团成都勘测设计研究院有限公司,四川 成都 610072武汉大学水利水电学院,湖北 武汉 430072武汉大学水利水电学院,湖北 武汉 430072武汉大学水利水电学院,湖北 武汉 430072长江勘测规划设计研究有限责任公司,湖北 武汉 430014

建筑与水利

特大基坑风险决策施工导流

extra-large foundation pitrisk decision-makingconstruction diversion

《中国农村水利水电》 2026 (8)

20-25,6

中国电建集团成都勘测设计研究院有限公司科技项目(P46020)(P65825)中国长江三峡集团有限公司科研项目(202203010).

10.12396/znsd.2501206

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