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耦合改进PERT和BBNs的堆石坝施工进度风险分析
引用本文:钟登华,闫玉亮,张隽,王飞. 耦合改进PERT和BBNs的堆石坝施工进度风险分析[J]. 水利学报, 2017, 48(1): 52-60
作者姓名:钟登华  闫玉亮  张隽  王飞
作者单位:天津大学 水利工程仿真与安全国家重点试验室, 天津 300072,天津大学 水利工程仿真与安全国家重点试验室, 天津 300072,天津大学 水利工程仿真与安全国家重点试验室, 天津 300072,天津大学 水利工程仿真与安全国家重点试验室, 天津 300072
基金项目:国家自然科学基金创新群体基金项目(51621092);国家重点基础研究发展计划(973计划)(2013CB035906);国家自然科学基金项目(51439005)
摘    要:传统的计划评审技术(PERT)考虑的三时估计值主观性偏强,没有考虑风险因素相关性对工序活动工期的影响,影响了工期仿真与风险评价的客观性以及分析结果的可靠性。本文建立了耦合改进PERT和贝叶斯信念网络(BBNs)的心墙堆石坝施工进度风险分析模型,首先利用BBNs推理功能推算工序活动风险因素相关性,同时分析工程进度风险;其次将三角模糊数和模糊测度Me方法相结合来对PERT进行改进,引入了决策者风险偏好指标;最后将该模型应用到实际工程,得到决策者风险偏好指数-工期-完工概率分布曲线,可用于指导施工决策。工程应用结果表明:与传统的PERT方法相比,耦合改进PERT和BBNs得到的仿真结果更加可靠,可为心墙堆石坝施工进度方案设计提供理论依据。

关 键 词:心墙堆石坝  施工进度风险  风险分析模型  工期仿真  风险偏好指数-工期-完工概率分布曲线
收稿时间:2016-06-06

Construction schedule risk analysis of rockfill dams based on coupling improved PERT and BBNs
ZHONG Denghu,YAN Yuliang,ZHANG Jun and WANG Fei. Construction schedule risk analysis of rockfill dams based on coupling improved PERT and BBNs[J]. Journal of Hydraulic Engineering, 2017, 48(1): 52-60
Authors:ZHONG Denghu  YAN Yuliang  ZHANG Jun  WANG Fei
Affiliation:State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China,State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China,State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China and State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China
Abstract:Traditional project evaluation and review technique (PERT) considers the three-time estimates whose subjectivities are too strong,and doesn''t consider the effect that the correlations of risk factors implementing on the project duration, influencing the objectivity of risk assessment and the reliability of analysis results. This study proposes the coupled improved PERT-Bayesian belief networks (BBNs) model. First, the reasoning function of BBNs is used to analyze the correlations among risk factors. Second, combining the method of Triangular Fuzzy Number and Fuzzy Measure to optimize PERT and introducing the risk preference index of decision makers. Then apply the model to practical engineering, obtaining the risk preference index-period-completion probability distribution curve,which can be used to provide guidance for decisions. An engineering application result shows that compared with the traditional PERT, the method obtains more reliable simulation results and provide a reliable theoretical basis for actual construction schedule designing.
Keywords:core rockfill dams  schedule risk  risk analysis model  construction simulation  risk preference index-period-completion probability distribution curve
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