scholarly journals A Resilience Approach to Symbiosis Networks of Ecoindustrial Parks Based on Cascading Failure Model

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Yu Zeng ◽  
Renbin Xiao ◽  
Xiangmei Li
Keyword(s):  
Theoretical Analysis ◽  
Evaluation Method ◽  
Shanxi Province ◽  
Critical Threshold ◽  
Cascading Failure ◽  
Load Parameter ◽  
Failure Model ◽  
Node Importance ◽  
Industrial Parks ◽  
Ecoindustrial Parks

Evaluation and improvement of resilience in ecoindustrial parks have been the pressing issues to be addressed in the study of safety. In this paper, eco-industrial systems are extracted as symbiosis networks by using social network analysis first. We then construct a novel cascading failure model and propose an evaluation method of node importance according to the features of symbiosis networks of eco-industrial parks. Based on the cascading model, an effective new method, that is, the critical threshold, is put forward to quantitatively assess the resilience of symbiosis networks of eco-industrial parks. Some theoretical analysis is furthermore provided to the critical threshold. Finally, we take Jinjie eco-industrial system in Shanxi Province of China as a case to investigate its resilience. The key potential nodes are identified by using our model. We also find the respective relation among the resilience of symbiosis networks and the parameters in our cascading model. Theoretical analysis results and numerical simulations both show the optimal value of the tunable load parameter with which the strongest resilience level against cascading failures can be attained in symbiosis networks of eco-industrial parks.

A cascading failure model for analyzing railway accident causation

2018 ◽  
Vol 32 (01) ◽  
pp. 1750265 ◽  
Author(s):  
Jin-Tao Liu ◽  
Ke-Ping Li
Keyword(s):  
Model Simulation ◽  
Critical Threshold ◽  
Cascading Failure ◽  
Load Parameter ◽  
Causal Relationships ◽  
Actual Situation ◽  
Failure Model ◽  
Prevention Measures ◽  
Simulation Experiments ◽  
Accident Causation

In this paper, a new cascading failure model is proposed for quantitatively analyzing the railway accident causation. In the model, the loads of nodes are redistributed according to the strength of the causal relationships between the nodes. By analyzing the actual situation of the existing prevention measures, a critical threshold of the load parameter in the model is obtained. To verify the effectiveness of the proposed cascading model, simulation experiments of a train collision accident are performed. The results show that the cascading failure model can describe the cascading process of the railway accident more accurately than the previous models, and can quantitatively analyze the sensitivities and the influence of the causes. In conclusion, this model can assist us to reveal the latent rules of accident causation to reduce the occurrence of railway accidents.

Research and Application of Importance Degree Evaluation Method of Complex Network Cascade Connection Node Based on Load Redistribution

2014 ◽  
Vol 998-999 ◽  
pp. 1174-1177
Author(s):  
Yun Peng Zhang
Keyword(s):  
Complex Network ◽  
Network Performance ◽  
Evaluation Method ◽  
Cascading Failure ◽  
Network Efficiency ◽  
Node Importance ◽  
Critical Nodes ◽  
Cascade Connection ◽  
The One ◽  
Definition Of

This paper presented a model with overload function for cascading failure. The main differences with respect to previous models are as follows: overload function is defined for each node, according to the value of overload function, one node has th ree states: success, overload, failure. After the load decreases, an overloaded node can be success again. The evolution of topology is replaced by the evolution of value of overload function during the process of cascading failure. It’s needless to delete the failure nodes and its edges, the load will avoid the failure nodes automat ically and the decrease of network performance will be reflected by network efficiency. An evaluation method of node importance considering cascading failure is proposed, and its algorithm is presented. A new definition of node importance is proposed. The most important node is the one who see failure results in the largest decrease of networks efficiency at the end of cascading. The evaluation method can help us to find some potential critical nodes which are sensitive to the efficiency of networks but not so important intuitively. Final example verifies its efficiency and feasibility.

scholarly journals A Cascading Failure Model Considering Operation Characteristics of the Communication Layer

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 9493-9504
Author(s):  
Geng Zhang ◽  
Jiawen Shi ◽  
Shiyan Huang ◽  
Jiye Wang ◽  
Hao Jiang
Keyword(s):  
Cascading Failure ◽  
Failure Model ◽  
Communication Layer ◽  
Operation Characteristics

Influences of Mining Depths of Coal Faces in Duanwang Coal Mine on the Gas Emission Law

2013 ◽  
Vol 295-298 ◽  
pp. 2874-2878
Author(s):  
Xin Xian Zhai ◽  
Yan Wei Zhai ◽  
Shi Wei Zhang
Keyword(s):  
Theoretical Analysis ◽  
Coal Mine ◽  
Production Capacity ◽  
Control Measures ◽  
Shanxi Province ◽  
Coal Face ◽  
Gas Emission ◽  
Average Value ◽  
Mining Depth ◽  
Selection Of

Duanwang Coal Mine in Shanxi province, China, is located at north of Qinshui coalfield which gently inclined and thick seams have been mined. Authorized production capacity of the coal mine is 1.8Mt/a. With the increase of mining depth, the mine gas emission quantity increased. The mine became high gassy one from low gassy mine. Using field measurement and theoretical analysis methods, the following conclusion can be drawn. Gas emission quantity of coal face is directly correlated with mining depth. With the increase of mining depth, both absolute and relative gas emission quantities at coal face increased. The gradient of gas emission quantity was 0.0438-0.1338m3/t/m, the average value was 0.1062m3/t/m. These results would provide a foundation for prediction of the gas emission quantity and selection of gas control measures.

Cascading failure model of AC-DC system and blackout mechanism analysis

2014 ◽  
Author(s):  
Yuxin Zhong ◽  
Xuemin Zhang ◽  
Shaowei Huang ◽  
Shengwei Mei ◽  
Xiaopeng Yu ◽  
...  
Keyword(s):  
Cascading Failure ◽  
Mechanism Analysis ◽  
Failure Model ◽  
Dc System

Cascading failure model for improving the robustness of scale-free networks

2018 ◽  
Vol 29 (06) ◽  
pp. 1850044 ◽  
Author(s):  
Zhichao Ju ◽  
Jinlong Ma ◽  
Jianjun Xie ◽  
Zhaohui Qi
Keyword(s):  
Real Life ◽  
Cascading Failure ◽  
Edge Weight ◽  
Failure Model ◽  
Threshold Parameter ◽  
Connected Component ◽  
New Model ◽  
Scale Free ◽  
Small Load ◽  
Scale Free Networks

To control the spread of cascading failure on scale-free networks, we propose a new model with the betweenness centrality and the degrees of the nodes which are combined. The effects of the parameters of the edge weight on cascading dynamics are investigated. Five metrics to evaluate the robustness of the network are given: the threshold parameter ([Formula: see text]), the proportion of collapsed edges ([Formula: see text]), the proportion of collapsed nodes ([Formula: see text]), the number of nodes in the largest connected component ([Formula: see text]) and the number of the connected component ([Formula: see text]). Compared with the degrees of nodes’ model and the betweenness of the nodes’ model, the new model could control the spread of cascading failure more significantly. This work might be helpful for preventing and mitigating cascading failure in real life, especially for small load networks.

Cascading Failure Model Considering Multi-Step Attack Strategy

2018 ◽  
Author(s):  
Hengdao Guo ◽  
Herbert Ho-Ching Iu ◽  
Tyrone Fernando ◽  
Ciyan Zheng ◽  
Xi Zhang ◽  
...  
Keyword(s):  
Cascading Failure ◽  
Failure Model ◽  
Attack Strategy
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