Robustness Analysis of Chemical Coupling Network Based on Asymmetric Dependent Network Model

IF 0.7 4区 工程技术 Q4 ENGINEERING, CHEMICAL Theoretical Foundations of Chemical Engineering Pub Date : 2024-03-10 DOI:10.1134/S0040579523330023
Jingmin Hou, Zheng Wang, Tongtong Xie, Zhaofei Dong, Xiaofeng Zhai
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Abstract

The failure of one node may cause the cascade failure, resulting in the failure of the chemical whole system. Robustness analysis of network is an effective means to prevent cascade failure. When analyzing robustness, predecessors only considered single chemical complex network, such as chemical material network and control system network. However, there is coupling between different networks. Therefore, this paper considers the coupling between networks, and a robustness analysis model of asymmetric chemical coupling network based on asymmetric dependent network model is proposed. In this paper, seven coupling dependency and two connection modes are considered, and the influence of coupling dependence and node connection modes on the robustness of network is explored. The results of the case show that the model is feasible and can well analyze the network robustness of chemical process under two types of network coupling conditions, which provides a theoretical basis for avoiding cascade failure propagation.

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基于不对称依赖网络模型的化学耦合网络鲁棒性分析
摘 要 一个节点的失效可能会引起级联失效,导致整个化工系统失效。网络鲁棒性分析是防止级联失效的有效手段。在进行鲁棒性分析时,前人只考虑了单一的化工复杂网络,如化工材料网络和控制系统网络。然而,不同网络之间存在耦合。因此,本文考虑了网络间的耦合,提出了基于非对称依赖网络模型的非对称化学耦合网络鲁棒性分析模型。本文考虑了七种耦合依赖关系和两种连接模式,探讨了耦合依赖关系和节点连接模式对网络鲁棒性的影响。实例结果表明,该模型是可行的,能很好地分析两类网络耦合条件下化工过程的网络鲁棒性,为避免级联失效传播提供了理论依据。
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来源期刊
CiteScore
1.20
自引率
25.00%
发文量
70
审稿时长
24 months
期刊介绍: Theoretical Foundations of Chemical Engineering is a comprehensive journal covering all aspects of theoretical and applied research in chemical engineering, including transport phenomena; surface phenomena; processes of mixture separation; theory and methods of chemical reactor design; combined processes and multifunctional reactors; hydromechanic, thermal, diffusion, and chemical processes and apparatus, membrane processes and reactors; biotechnology; dispersed systems; nanotechnologies; process intensification; information modeling and analysis; energy- and resource-saving processes; environmentally clean processes and technologies.
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