国防关键基础设施级联失效的诱导渗流效应机理与防控方法

批准号:
72001213
项目类别:
青年科学基金项目
资助金额:
24.0 万元
负责人:
钟季龙
依托单位:
学科分类:
管理系统工程
结题年份:
2023
批准年份:
2020
项目状态:
已结题
项目参与者:
钟季龙
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中文摘要
级联失效是威胁国防关键基础设施安全运行的主要故障模式之一,具有时空传播、耦合相关以及故障类型多样化等特点。针对多动力学级联失效传播快、涌现强及防控难等管理问题,以评估、优化和控制级联失效过程为目标,开展级联失效的诱导渗流效应的产生机理、时空传播和防控方法等基础理论创新研究。首先,建立诱导渗流效应多动力学级联失效模型,构建风险量化分析与评估方法,研究发生机制和作用规律;其次,根据故障空间分布和时间关联特征,提出时空传播理论解析方法,实现故障路径溯源,并研究临界指数对诱导渗流效应传播影响;第三,分别从结构和功能出发,研究网络薄弱环节识别方法,结合启发式优化方法和图卷积网络提出结构微调策略以及网络负载容限优化方法,建立诱导渗流效应的防控管理方法。本课题旨在为国防关键基础设施系统运行可靠性管理和评估优化奠定理论基础,为增强关键基础设施的持续防御能力,提高管理保障能力提供新的方法和理论支撑。
英文摘要
Cascading failure is one of the main failure modes that threatens the operation of defense critical infrastructure, and has the characteristics of spatial-temporal propagation, interdependency and multiple failure modes. As for the management problem of fast propagation, strong emergence and difficult prevention for multi-dynamic cascading failures, we aim to evaluate, optimize and control the cascading failure process by studying the mechanism of induced percolation effects, propagation and controlling methods of cascading failures. Firstly, a multi-dynamic cascading failure model of induced percolation effect will be developed. Then, the quantitative modeling analysis and evaluation methods will be used to study the cascading failure mechanism and interaction between failures. Secondly, based on the spatial distribution of failures and time correlation, a spatial-temporal propagation theory will be proposed to search the failure paths and study the impact of critical exponent on the propagation of the induced percolation effect. Thirdly, from the perspective of structure and function, we will study the identification method of weak components. Moreover, we will propose an optimized method of structural strategy and network load capacity by both the heuristic optimization method and graph convolutional network. Then we will ultimately obtain the prevention and control methods of induced percolation effect. Our research will lay the theoretical foundation for defense critical infrastructure reliability management and evaluation analysis, and provide new methods and theoretical approaches for enhancing the sustainable defense capabilities of critical infrastructures and improving management support capabilities.
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DOI:10.1109/tr.2023.3344726
发表时间:2024-06
期刊:IEEE Transactions on Reliability
影响因子:5.9
作者:Zhijun Guo;Ying Wang;Yun Sun;Jie Li;Chaoqi Fu;Jilong Zhong
通讯作者:Zhijun Guo;Ying Wang;Yun Sun;Jie Li;Chaoqi Fu;Jilong Zhong
DOI:10.1063/5.0144284
发表时间:2023-08
期刊:Chaos
影响因子:2.9
作者:Jie Li;Ying Wang;Jilong Zhong;Yun Sun;Zhijun Guo;Chaoqi Fu
通讯作者:Jie Li;Ying Wang;Jilong Zhong;Yun Sun;Zhijun Guo;Chaoqi Fu
DOI:10.1016/j.ress.2021.108294
发表时间:2022-01
期刊:Reliab. Eng. Syst. Saf.
影响因子:--
作者:D. Fan;Bo Sun;Hongyan Dui;Jilong Zhong;Zi-li Wang;Yi Ren;Zi-li Wang
通讯作者:D. Fan;Bo Sun;Hongyan Dui;Jilong Zhong;Zi-li Wang;Yi Ren;Zi-li Wang
DOI:10.1109/access.2022.3188659
发表时间:2022
期刊:IEEE ACCESS
影响因子:3.9
作者:Jie Li;Ying Wang;Jilong Zhong(通讯)
通讯作者:Jilong Zhong(通讯)
DOI:10.23919/jsee.2023.000082
发表时间:2023-06
期刊:Journal of Systems Engineering and Electronics
影响因子:2.1
作者:Zhiwei Chen;Ziming Zhou;Luogeng Zhang;Chaowei Cui;Jilong Zhong
通讯作者:Zhiwei Chen;Ziming Zhou;Luogeng Zhang;Chaowei Cui;Jilong Zhong
国内基金
海外基金
