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多因素耦合作用下地下厂房施工进度风险分析及其应用
引用本文:柏少哲,黄建文,毛宇辰,周宜红,廖再毅.多因素耦合作用下地下厂房施工进度风险分析及其应用[J].水电能源科学,2020,38(2):155-159.
作者姓名:柏少哲  黄建文  毛宇辰  周宜红  廖再毅
作者单位:三峡大学水利与环境学院,湖北宜昌443002;三峡大学水利与环境学院,湖北宜昌443002;三峡大学水电工程施工与管理湖北省重点实验室,湖北宜昌443002;三峡大学水利与环境学院,湖北宜昌443002;瑞尔森大学建筑系,加拿大多伦多M5B 2K3
基金项目:国家自然科学基金项目(51879147,51779131);湖北省建设科技计划项目(KJ2016QT012)
摘    要:为深入分析地下厂房施工进度风险因素之间的耦合作用及耦合效应,采用WBS-RBS法识别了影响施工进度的人、物、环境、管理4类风险因素,基于系统动力学方法揭示了同质单因素和异质双-多因素耦合关系,在此基础上建立了同质单因素耦合度模型和异质双-多因素N-K模型,运用蒙特卡罗法模拟了各风险因素对进度影响的概率分布,分析耦合强度。工程实例应用表明,各类风险子系统中存在较大的同质单因素耦合风险,应加强针对性预防和控制;异质双-多因素耦合中,有管理因素参与耦合的风险较大,实际施工中应尽可能减少多因素参与耦合。

关 键 词:地下厂房施工  进度风险  风险耦合  N-K模型  蒙特卡罗模拟

Risk Analysis of Construction Progress of Underground Powerhouse under Multi-factor Coupling and Its Application
BAI Shao-zhe,HUANG Jian-wen,MAO Yu-chen,ZHOU Yi-hong,LIAO Zai-yi.Risk Analysis of Construction Progress of Underground Powerhouse under Multi-factor Coupling and Its Application[J].International Journal Hydroelectric Energy,2020,38(2):155-159.
Authors:BAI Shao-zhe  HUANG Jian-wen  MAO Yu-chen  ZHOU Yi-hong  LIAO Zai-yi
Affiliation:(College of Hydraulic and Environmental Engineering,China Three Gorges Univers让y,Yichang 443002,China;Hubei Key Laboratory of Construction and Management in Hydropower Engineering,China Three Gorges Univers让y,Yichang 443002,China;Department of Architectural Science,Ryerson University,Toronto Ontario M5B 2K3,Canada)
Abstract:In order to analyze the coupling effect between the risk factors of construction progress of underground powerhouse, four kinds of risk factors of human, things, environment and management that affect the construction progress were identified by using WBS-RBS method. Based on the system dynamics method, the coupling relationship between homogeneous single factors and heterogeneous double and multi-factor was revealed. The homogeneous single-factor coupling degree model and the heterogeneous double and multi-factor N-K model were established. Monte Carlo method was applied to simulate the probability distribution of risk factors impact on the schedule, and its coupling strength was analyzed. The application of engineering examples shows that there are larger homogeneous single-factor coupling risks in various risk subsystems, and effective measures should be taken to prevent and control these risks. In the heterogeneous double and multi-factor coupling, there is a great risk of management factors participating in the coupling, and in actual construction, the coupling of multiple factors should be reduced as far as possible.
Keywords:underground powerhouse construction  schedule risk  risk coupling  N-K model  Monte Carlo simulation
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