20 research outputs found
IdentificaciΓ³n y CaracterizaciΓ³n de Infraestructuras CrΓticas en PanamΓ‘
Critical infrastructures are man-made systems, facilities that provide services necessary for the development of an increasingly demanding economy. The importance of clear identification and characterization allows us to analyze how they relate to each other and the level of dependence they have between them. The objective of this research is to provide a frame of reference for the study of Critical Infrastructures in Panama. For this purpose, the information of the international scientific community has been reviewed mainly due to the lack of studies related to the critical infrastructures of Panama, as well as public and private organizations that manage the operation of the main service systems in Panama.Keywords: dependence, critical infrastructures, system
Does size matter?
Failures of the complex infrastructures society depends on having enormous human and economic cost that poses the question: Are there ways to optimize these systems to reduce the risks of failure? A dynamic model of one such system, the power transmission grid, is used to investigate the risk from failure as a function of the system size. It is found that there appears to be optimal sizes for such networks where the risk of failure is balanced by the benefit given by the size
Infastructure Interdependencies Modeling and Analysis - A Review and Synthesis
The events of 9/11 and the occurrence of major natural disasters in recent years has resulted in increased awareness and renewed desire to protect critical infrastructure that are the pillars to maintaining what has become normal life in our economy. The problem has been compounded because the increased connectedness between the various sectors of the economy has resulted in interdependencies that allow for problems and issues with one infrastructure to affect other infrastructures. This area is now being investigated extensively after the Department of Homeland Security (DHS) prioritized this issue. There is now a vast extant of literature in the area of infrastructure interdependencies and the modeling of it. This paper presents a synthesis and survey of the literature in the area of infrastructure interdependency modeling methods and proposes a framework for classification of these studies. The framework classifies infrastructure interdependency modeling and analysis methods into four quadrants in terms of system complexities and risks. The directions of future research are also discussed in this paper
The Impact of Local Power Balance and Link Reliability on Blackout Risk in Heterogeneous Power Transmission Grids
Many critical infrastructures such as the power transmission grid are heterogeneous both in their basic structure and in some of their underlying characteristics, This heterogeneity can be good for system robustness if it reduces the spread of failures or bad if it adds risk or vulnerability to the system. In this paper we investigate the effect of heterogeneity in the strength of the links between parts of the system network structures, as well as the balance of local generation and demand, on the robustness of the power transmission grid using the OPA complex system model of the power transmission system. It is found that increasing or decreasing the reliability of the links between parts of the grid changes the likelihood of different size failures with neither being optimal for all sizes. Furthermore, imbalances between load and generation in the local regions further degrades the system reliability
Classification of Intersystem Accidents in Infrastructure-Complex Territories
Urbanisation led to the establishment of infrastructure-complex territories (ICTs). The growing interaction between critical infrastructures in such territories, combined with an increase in the frequency and scale of natural disasters, caused a surge in intersystem accidents (ISA). ISAs are characterised by cascading processes and catastrophic consequences for regional socio-economic development, since they affect both the critical infrastructure and environment. The paper aims to classify intersystem accidents in infrastructure-complex territories, as well as to assess the adaptive resilience of these areas to external influences. An examination of available statistics on domestic and foreign intersystem accidents demonstrated the importance of the issue and allowed us to identify common features of ISAs. The research analysed various approaches to the classification of territories and their adaptive resilience to external influences, showing that the existing classifications mostly do not consider infrastructure-complex territories and the possibility of intersystem accidents. Based on the analysis of statistical data and simulation of cascade failures and emergencies, the article proposes a new approach to the classification of intersystem accidents in infrastructure-complex territories. The scale of economic and social consequences, location of the accident, structure of the development of emergency processes, and other classification features were used. The proposed classification will help simulate emergencies, develop methods for assessing the consequences and resistance of infrastructure-complex territories to external influences, and, subsequently, increase adaptive resilience and economic efficiency of regional development. Further research will be aimed at predicting the development of ISAs and assessing the resulting damage in accordance with the proposed classification
Classification of Intersystem Accidents in Infrastructure-Complex Territories
Urbanisation led to the establishment of infrastructure-complex territories (ICTs). The growing interaction between critical infrastructures in such territories, combined with an increase in the frequency and scale of natural disasters, caused a surge in intersystem accidents (ISA). ISAs are characterised by cascading processes and catastrophic consequences for regional socio-economic development, since they affect both the critical infrastructure and environment. The paper aims to classify intersystem accidents in infrastructure-complex territories, as well as to assess the adaptive resilience of these areas to external influences. An examination of available statistics on domestic and foreign intersystem accidents demonstrated the importance of the issue and allowed us to identify common features of ISAs. The research analysed various approaches to the classification of territories and their adaptive resilience to external influences, showing that the existing classifications mostly do not consider infrastructure-complex territories and the possibility of intersystem accidents. Based on the analysis of statistical data and simulation of cascade failures and emergencies, the article proposes a new approach to the classification of intersystem accidents in infrastructure-complex territories. The scale of economic and social consequences, location of the accident, structure of the development of emergency processes, and other classification features were used. The proposed classification will help simulate emergencies, develop methods for assessing the consequences and resistance of infrastructure-complex territories to external influences, and, subsequently, increase adaptive resilience and economic efficiency of regional development. Further research will be aimed at predicting the development of ISAs and assessing the resulting damage in accordance with the proposed classification
Classification of Intersystem Accidents in Infrastructure-Complex Territories
ΠΡΠΎΡΠ΅ΡΡ ΡΡΠ±Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ Π²Π΅Π΄Π΅Ρ ΠΊ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ½ΠΎ ΡΠ»ΠΎΠΆΠ½ΡΡ
ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ. Π Π°ΡΡΡΡΠ΅Π΅ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ ΠΊΡΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡ Π½Π° ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ½ΠΎ ΡΠ»ΠΎΠΆΠ½ΡΡ
ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΡΡ
Π² ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠΈ Ρ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΠ°ΡΡΠΎΡΡ ΠΈ ΠΌΠ°ΡΡΡΠ°Π±ΠΎΠ² ΡΠΊΡΡΡΠ΅ΠΌΠ°Π»ΡΠ½ΡΡ
ΠΏΡΠΈΡΠΎΠ΄Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΡΠΎΡΡΡ ΠΌΠ΅ΠΆΡΠΈΡΡΠ΅ΠΌΠ½ΡΡ
Π°Π²Π°ΡΠΈΠΉ. ΠΠ΅ΠΆΡΠΈΡΡΠ΅ΠΌΠ½ΡΠ΅ Π°Π²Π°ΡΠΈΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΡΡ ΠΊΠ°ΡΠΊΠ°Π΄Π½ΡΠΌΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠ°ΠΌΠΈ ΠΈ ΠΊΠ°ΡΠ°ΡΡΡΠΎΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΡΠΌΠΈ Π΄Π»Ρ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°, Π·Π°ΡΡΠ°Π³ΠΈΠ²Π°ΡΡ ΠΊΡΠΈΡΠΈΡΠ΅ΡΠΊΠΈ Π²Π°ΠΆΠ½ΡΠ΅ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ ΠΈ ΠΎΠΊΡΡΠΆΠ°ΡΡΡΡ ΡΡΠ΅Π΄Ρ. Π¦Π΅Π»ΡΡ ΡΠ°Π±ΠΎΡΡ ΡΠ²Π»ΡΡΡΡΡ ΡΠΎΠ·Π΄Π°Π½ΠΈΠ΅ ΠΈ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΌΠ΅ΠΆΡΠΈΡΡΠ΅ΠΌΠ½ΡΡ
Π°Π²Π°ΡΠΈΠΉ Π½Π° ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ½ΠΎ ΡΠ»ΠΎΠΆΠ½ΡΡ
ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΡΡ
Π²ΠΎ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ Ρ Π·Π°Π΄Π°ΡΠ΅ΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ Π°Π΄Π°ΠΏΡΠΈΠ²Π½ΠΎΠΉ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ ΠΊ Π²Π½Π΅ΡΠ½ΠΈΠΌ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡΠΌ. ΠΠ²ΡΠΎΡΠ°ΠΌΠΈ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ Π°Π½Π°Π»ΠΈΠ· Π΄ΠΎΡΡΡΠΏΠ½ΡΡ
ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π΄Π°Π½Π½ΡΡ
ΠΏΠΎ ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌ ΠΈ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΠΌ ΠΌΠ΅ΠΆΡΠΈΡΡΠ΅ΠΌΠ½ΡΠΌ Π°Π²Π°ΡΠΈΡΠΌ, ΠΊΠΎΡΠΎΡΡΠΉ ΠΏΠΎΠΊΠ°Π·Π°Π» Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ» Π²ΡΡΠ²ΠΈΡΡ ΠΎΠ±ΡΠΈΠ΅ ΡΠ΅ΡΡΡ ΠΌΠ΅ΠΆΡΠΈΡΡΠ΅ΠΌΠ½ΡΡ
Π°Π²Π°ΡΠΈΠΉ. ΠΠ½Π°Π»ΠΈΠ· ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΡ
Π² ΠΌΠΈΡΠΎΠ²ΠΎΠΉ ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ² ΠΊ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΈΡ
Π°Π΄Π°ΠΏΡΠΈΠ²Π½ΠΎΠΉ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ ΠΊ Π²Π½Π΅ΡΠ½ΠΈΠΌ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡΠΌ ΠΏΠΎΠΊΠ°Π·Π°Π», ΡΡΠΎ ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΠ΅ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ Π½Π΅ ΠΎΠ±Π»Π°Π΄Π°ΡΡ ΠΏΠΎΠ»Π½ΠΎΡΠΎΠΉ, ΡΠΎΠ»ΡΠΊΠΎ Π² ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΡΠ²ΡΠ·Π°Π½Ρ Ρ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ½ΠΎ ΡΠ»ΠΎΠΆΠ½ΡΠΌΠΈ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΡΠΌΠΈ ΠΈ Π½Π΅ ΡΡΠΈΡΡΠ²Π°ΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ ΠΌΠ΅ΠΆΡΠΈΡΡΠ΅ΠΌΠ½ΡΡ
Π°Π²Π°ΡΠΈΠΉ. Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΡΡΡ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΌΠ΅ΠΆΡΠΈΡΡΠ΅ΠΌΠ½ΡΡ
Π°Π²Π°ΡΠΈΠΉ Π½Π° ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ½ΠΎ ΡΠ»ΠΎΠΆΠ½ΡΡ
ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΡΡ
, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΠΉ Π½Π° Π°Π½Π°Π»ΠΈΠ·Π΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π΄Π°Π½Π½ΡΡ
ΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°Ρ
ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΊΠ°ΡΠΊΠ°Π΄Π½ΡΡ
Π°Π²Π°ΡΠΈΠΉ ΠΈ ΡΡΠ΅Π·Π²ΡΡΠ°ΠΉΠ½ΡΡ
ΡΠΈΡΡΠ°ΡΠΈΠΉ. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ, ΠΌΠ°ΡΡΡΠ°Π± ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
, ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠΉ, ΠΌΠ΅ΡΡΠΎ Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ Π°Π²Π°ΡΠΈΠΈ, ΡΡΡΡΠΊΡΡΡΠ° ΡΠ°Π·Π²ΠΈΡΠΈΡ Π°Π²Π°ΡΠΈΠΉΠ½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ². ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½Π°Ρ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ ΠΏΡΠΎΠ²Π΅ΡΡΠΈ Π½Π° Π΅Π΅ ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ΅Π·Π²ΡΡΠ°ΠΉΠ½ΡΡ
ΡΠΈΡΡΠ°ΡΠΈΠΉ, ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°ΡΡ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΠΎΠ²Π½Ρ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠΉ ΠΈ Π°Π΄Π°ΠΏΡΠΈΠ²Π½ΠΎΠΉ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ½ΠΎ ΡΠ»ΠΎΠΆΠ½ΡΡ
ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ ΠΊ Π²Π½Π΅ΡΠ½ΠΈΠΌ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡΠΌ ΠΈ ΡΠ΅ΠΌ ΡΠ°ΠΌΡΠΌ ΠΏΠΎΠ²ΡΡΠΈΡΡ Π°Π΄Π°ΠΏΡΠΈΠ²Π½ΡΡ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΡ ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΡΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ². ΠΠ°Π»ΡΠ½Π΅ΠΉΡΠΈΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ΄ΡΡ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Ρ Π½Π° ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΠΏΠΎΠ²ΡΡ
ΡΡΠ΅Π½Π°ΡΠΈΠ΅Π² ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΌΠ΅ΠΆΡΠΈΡΡΠ΅ΠΌΠ½ΡΡ
Π°Π²Π°ΡΠΈΠΉ Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠΉ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠ΅ΠΉ ΠΈ ΠΎΡΠ΅Π½ΠΊΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡΡΠ΅Π³ΠΎ ΡΡΠ΅ΡΠ±Π°.Urbanisation led to the establishment of infrastructure-complex territories (ICTs). The growing interaction between critical infrastructures in such territories, combined with an increase in the frequency and scale of natural disasters, caused a surge in intersystem accidents (ISA). ISAs are characterised by cascading processes and catastrophic consequences for regional socio-economic development, since they affect both the critical infrastructure and environment. The paper aims to classify intersystem accidents in infrastructure-complex territories, as well as to assess the adaptive resilience of these areas to external influences. An examination of available statistics on domestic and foreign intersystem accidents demonstrated the importance of the issue and allowed us to identify common features of ISAs. The research analysed various approaches to the classification of territories and their adaptive resilience to external influences, showing that the existing classifications mostly do not consider infrastructure-complex territories and the possibility of intersystem accidents. Based on the analysis of statistical data and simulation of cascade failures and emergencies, the article proposes a new approach to the classification of intersystem accidents in infrastructure-complex territories. The scale of economic and social consequences, location of the accident, structure of the development of emergency processes, and other classification features were used. The proposed classification will help simulate emergencies, develop methods for assessing the consequences and resistance of infrastructure-complex territories to external influences, and, subsequently, increase adaptive resilience and economic efficiency of regional development. Further research will be aimed at predicting the development of ISAs and assessing the resulting damage in accordance with the proposed classification.Π‘ΡΠ°ΡΡΡ ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²Π»Π΅Π½Π° ΠΏΡΠΈ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ΅ Π³ΡΠ°Π½ΡΠ° Π Π€Π€Π ΠΏΡΠΎΠ΅ΠΊΡ Β«Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ½ΠΎΠ² ΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π°Π½Π°Π»ΠΈΠ·Π°, ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΎΡΠ΅Π½ΠΊΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΠΏΡΠΈ ΠΌΠ΅ΠΆΡΠΈΡΡΠ΅ΠΌΠ½ΡΡ
Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡΡ
ΠΊΡΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡ Π½Π° ΡΡΠ±Π°Π½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΡΡ
Β» β 20-010-00812Π.The article has been prepared with the support of the Russian Foundation for Basic Research, the grant project No. 20-010-00812A Β«Development of theoretical foundations and practical methods for analyzing, predicting and evaluating security in intersystem interactions of critical infrastructures in urbanized areasΒ»
Degree design of coupled infrastructures
A recent asymptotic model of cascading failure in two-domain, coupled infrastructures is used to pose and solve a specific degree-distribution design problem. Low-order non-linear analysis exposes the mechanisms by which optimised graphs can form star-like clusters, and suggests why the optimisation is well-behaved numerically. Through computational examples on coupled systems of finite size, we demonstrate that the model assumption of degree independence can be somewhat relaxed, which is significant for geometric connectivity. Further, an assortative heuristic rule that matches degrees across the domain boundary can offer benefits in most finite-size cases