Article
Mathematics, Applied
Samuel Bien, Paul Schultz, Jobst Heitzig, Jonathan F. Donges
Summary: Resilience, measured by the quality of a system's response, is quantified using a measurement framework that estimates a resilience basin. This framework considers arbitrary complex impacts to the system and is demonstrated through two applications. The framework helps optimize budget efficiency and provides insights into response options.
Article
Engineering, Multidisciplinary
Hafiz Abid Mahmood Malik
Summary: Discovering and identifying influential nodes in complex networks, such as Twitter, is crucial for network control and information spread. Different centrality measures are utilized to analyze the impact of influential nodes and communities in terms of network coverage. Effective ways to find influential and central nodes in big social networks like Facebook, Instagram, Twitter, and LinkedIn are identified.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2022)
Article
Green & Sustainable Science & Technology
Xiangyu Ma, Huijie Zhou, Zhiyi Li
Summary: This paper provides a comprehensive literature review on the application of complex network theories in resilience evaluation and enhancement of modern power systems. It decomposes resilience into structural and operational aspects, discussing structural resilience through graph modeling and analyzing static and dynamic characteristics, and investigating operational resilience through the progression of preventive, corrective, and restorative strategies in extreme events. It also extends the discussion to multilayer networks as modern power systems are increasingly interconnected with communication networks and other energy carriers. Overall, complex network theories are found to be effective in understanding and improving the structural and operational resilience of modern power systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Computer Science, Artificial Intelligence
Yongqi Wang, Penghui Lin, Limao Zhang, Hongbo Yu, Tiong Lee Kong Robert
Summary: A systematic research framework is proposed to analyze and optimize the resilience of a Mechanical, Electrical, and Plumbing (MEP) system under random and intentional attacks. The results show that the framework can effectively analyze the MEP system and optimize its design by adding new edges.
ADVANCED ENGINEERING INFORMATICS
(2023)
Article
Ecology
Amy L. Shurety, Orjan Bodin, Graeme S. Cumming
Summary: The dynamics and adaptive capacity of social-ecological systems heavily rely on the system structure, which is established through geography, institutions, interactions, and movement. Different views on the system structure tend to emphasize either top-down or lateral connections. The concept of a heterarchy aims to capture both top-down and lateral connections, but it has not been fully operationalized for quantifying and comparing system structures. In this study, a simple approach was developed to consistently quantify heterarchical structure across different types of networks. The results show that different networks have distinct placements on the heterarchy matrix.
ECOLOGY AND SOCIETY
(2022)
Article
Engineering, Industrial
Bofan Yang, Lin Zhang, Bo Zhang, Yang Xiang, Lei An, Wenfeng Wang
Summary: This paper analyzes the composition of resilience in complex equipment systems and provides a quantitative and qualitative analysis on how to optimize the system under the framework of resilience engineering. It discusses the impact of subsystems, resources, and human factors on resilience and refines the components of system resilience into five specific factors. Through simulation and comprehensive analysis, the paper provides a deeper understanding of the three components of system resilience.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Multidisciplinary Sciences
Chengyi Tu, Paolo D'Odorico, Samir Suweis
Summary: One of the main challenges in complexity science and engineering is understanding high-dimensional networked systems and their susceptibility to transitions to undesired states. The authors propose an analytical framework to collapse complex N-dimensional networked systems into a lower-dimensional manifold, which can simplify the study of system dynamics and help in identifying optimal strategies in the design or management of networked systems.
Review
Environmental Sciences
Lindsay Beevers, Melissa Bedinger, Kerri McClymont, Annie Visser-Quinn
Summary: This paper explores the use of catchment resilience as a unifying concept for managing and regulating catchments, emphasizing the ability of complex catchment systems to bounce back, absorb, and transform. It introduces six main complexity concepts that frame the evaluation of catchment resilience, highlighting the need to consider interactions between natural, social, and technical aspects, spatial and time scales, and uncertainty. The paper also identifies gaps in current practice and suggests future methodological approaches that should incorporate a linking systems or interaction analysis to enhance catchment resilience.
Article
Physics, Fluids & Plasmas
S. Belga Fedeli, Y. Fyodorov, J. R. Ipsen
Summary: The study found that as long as the origin remains stable, the system will be surrounded by a resilience gap with no other fixed points within a radius r(*) > 0. When the origin loses local stability, the radius r(*) disappears, leading to the system becoming less resilient.
Article
Green & Sustainable Science & Technology
Yangyang Meng, Xiaofei Zhao, Jianzhong Liu, Qingjie Qi
Summary: With the development of urban metro systems, the topology of important nodes changes as the metro network structure evolves. This study investigates the dynamic influences of the structure evolution of important nodes on the resilience of a metro network using Shenzhen Metro Network as an example. The findings provide insights into the development features of metro networks and can assist in emergency decision-making and action-taking.
Article
Biodiversity Conservation
Tao Wang, Hongbo Li, Yue Huang
Summary: With rapid urbanization and frequent disasters, the resilience of regional ecosystems is decreasing. Constructing ecological networks and evaluating their resilience is crucial for improving ecological benefits and quality of ecological products. The research on ecological network resilience in the Wuhan metropolitan area provides insights on enhancing network and regional resilience, contributing to sustainable ecosystem management and restoration.
ECOLOGICAL INDICATORS
(2021)
Article
Automation & Control Systems
Kewei Yang, Jichao Li, Maidi Liu, Tianyang Lei, Xueming Xu, Hongqian Wu, Jiaping Cao, Gaoxin Qi
Summary: This paper provides a summary of the research progress in complex systems modeling and analysis from the perspective of network science. It discusses various aspects such as networked modeling, vital node analysis, network invulnerability analysis, network disintegration analysis, resilience analysis, complex network link prediction, and the attacker-defender game in complex networks. The paper also presents some viewpoints on the future research trends and focuses in network analysis of complex systems.
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
(2023)
Article
Computer Science, Information Systems
Rachel Freeman, Liz Varga
Summary: This article introduces a new resilience holon that can be used to analyze complex resilience situations, such as floods. Composed of 24 elements, the holon can help identify critical vulnerability points and improve the overall resilience situation involving CES.
IEEE SYSTEMS JOURNAL
(2022)
Article
Engineering, Industrial
Jiateng Yin, Xianliang Ren, Ronghui Liu, Tao Tang, Shuai Su
Summary: This study proposes a hybrid knowledge-based and data-driven approach for quantitative analysis of resilience in urban rail systems. It models the causal relationships to quantify the importance of different disruptions to overall resilience criteria. The method is applied to historical data from Beijing Metro, and the results demonstrate the quantitative relationships between system resilience and different types of events.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Green & Sustainable Science & Technology
Jizhe Zhou, Quanhua Hou
Summary: This study examines the complex system of rural settlements under external disturbances and proposes a research framework of spatial simulation-resilience evaluation-spatial planning. The results show the evolution trends of settlement space and its spatial resilience, highlighting the importance of a long-term spatial resilience for forming an ideal pattern of rural relic zones + characteristic towns.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Computer Science, Interdisciplinary Applications
Nafiseh Ghorbani-Renani, Andres D. Gonzalez, Kash Barker
Summary: This study focuses on enhancing the resilience of infrastructure networks against disruptions, by simultaneously reducing vulnerability and increasing recoverability. A tri-level DAD model and decomposition algorithm are proposed to address the issue more efficiently, with practical conclusions drawn from a case study on interdependent infrastructure networks.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Operations Research & Management Science
Yasser Almoghathawi, Andres D. Gonzalez, Kash Barker
Summary: This paper discusses the interdependencies of infrastructure networks and proposes a multi-objective optimization model to enhance the resilience of the system. The model aims to prioritize the restoration of disrupted components and consider the physical interdependency among them to maximize performance during the recovery process.
NETWORKS & SPATIAL ECONOMICS
(2021)
Article
Engineering, Multidisciplinary
Hannah Lobban, Yasser Almoghathawi, Nazanin Morshedlou, Kash Barker
Summary: This study focuses on the importance of critical infrastructure networks to society, addressing threats from different types of disruptions and proposing a decision-making framework for allocating defensive resources to minimize vulnerability and total cost. By considering various disruption scenarios such as intentional attacks, natural disasters, and random failures, this work aims to achieve more realistic results.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
(2021)
Article
Computer Science, Interdisciplinary Applications
Nazanin Morshedlou, Kash Barker, Andres D. Gonzalez, Alireza Ermagun
Summary: This study proposes efficient solution methods for solving interdependent restoration planning and crew routing problems, using mathematical models and heuristic algorithms. The computational results from case studies show that the heuristic algorithm can obtain optimal or near-optimal solutions, especially for large scale problems.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Construction & Building Technology
Buket Cilali, Kash Barker, Andreas D. Gonzalez
Summary: This study aims to assist decision-makers in refugee resettlement planning by proposing a multicriteria facility location and allocation problem. It focuses on significant objectives such as prioritization based on socio-cultural differences and overall success of the resettlement process to improve social resilience of host cities.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Engineering, Multidisciplinary
Zuyuan Zhang, Sridhar Radhakrishnan, C. R. Subramanian, Kash Barker, Andres D. Gonzalez
Summary: The research focuses on the impact of causal failures on network connectivity, proposing two problems to address network robustness and vulnerability. These problems aim to find the maximum number of causal failures while maintaining a connected component with a given size, and to find the minimum number of causal failures that result in at least k connected components remaining. Both problems are shown to be NP-complete, leading to the development of heuristic algorithms for approximate solutions. Additionally, the performance of the heuristics is compared with integer linear programming through an illustrative example, and the scalability of the algorithms is analyzed through experiments on two other networks.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
G. S. Mahapatra, B. Maneckshaw, Kash Barker
Summary: This study presents modeling of redundancy allocation under hesitant fuzzy environment as a multi-objective problem, using a mathematical framework with consideration of the system's weight and volume restrictions. A sequence of algorithms is presented to illustrate optimal solutions for improving system performance.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Industrial
Enze Liu, Kash Barker, Hong Chen
Summary: This research proposes a solution to the evacuation planning problem for stranded passengers during high-speed railway disruptions. By investing in multi-modal transportation and optimizing scheduling, the efficiency of evacuation is improved and risks are reduced. In a real case study, the proposed strategy shows lower risk and cost compared to other strategies, achieving an evacuation equilibrium successfully.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Multidisciplinary Sciences
Alireza Rangrazjeddi, Andres D. Gonzalez, Kash Barker
Summary: Critical infrastructure networks are crucial for a functioning society, but their failure can have widespread consequences. To address the challenges posed by interdependencies, competing interests, and uncertain information in decision-making for these networks, we propose an adaptive algorithm that utilizes machine learning. Our algorithm integrates predictions about other decision-makers' behavior into network restoration planning, considering an imperfect information sharing environment. The algorithm demonstrates efficiency and performs well in situations where information sharing is incomplete.
Article
Automation & Control Systems
Claudio M. M. Rocco, Destenie Nock, Kash Barker
Summary: Several recent works have presented approaches to planning for the restoration of disrupted network components based on network performance measures. In this paper, we propose an alternative perspective on restoration driven by the impact of inequalities in the restoration process on the entire network. We demonstrate this approach with two networks of different sizes and suggest areas for future research in incorporating the equally distributed equivalent (EDE) measure in comprehensive network restoration studies.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Economics
Deniz Berfin Karakoc, Kash Barker, Andres D. Gonzalez
Summary: This study analyzes the tradeoff between reducing vulnerability and enhancing recoverability in interdependent infrastructure networks with multiple time and budget allocations. It takes into account both the performance of the physical networks and the socially vulnerable communities that rely upon them. The proposed model maximizes the resilience of the interdependent infrastructure networks while minimizing the total cost associated with resource allocation.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
Article
Economics
Leili Soltanisehat, Andres Gonzalez, Kash Barker
Summary: This paper proposes a novel multi-objective mixed-integer linear programming model to determine the optimal timing and scale of closure and reopening, aiming to mitigate the economic and epidemiological impact of the pandemic. The research findings suggest that during the planning horizon, closing most states while keeping the majority of industries open results in contrasting effects on the economy and epidemiology.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
Article
Operations Research & Management Science
Alireza Rangrazjeddi, Andres D. Gonzalez, Kash Barker
Summary: The popularity of air transportation has led to increased traffic volume in the airspace, resulting in higher chances of conflicts among aircraft. Conflict detection and resolution in air traffic management are challenging tasks due to the dynamic nature of flight plans and the interdependency among pilots' decisions. Reliable decision-making techniques are necessary to deal with these conflicts, and innovative technological developments are essential to assist decision-makers.
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
(2023)
Article
Public, Environmental & Occupational Health
Leili Soltanisehat, Kash Barker, Andres D. Gonzalez
Summary: The COVID-19 pandemic has emphasized the need for a better understanding of mitigation policies at the state and industry level. This article presents a novel multi-objective mixed-integer linear programming formulation to determine the optimal timing of closure and reopening strategies for states and industries.
Proceedings Paper
Computer Science, Information Systems
Emma Kuttler, Buket Cilali, Kash Barker
Summary: This study introduces a method for iterative resettlement across multiple planning periods using the TOPSIS technique, considering various criteria such as geographical, cultural, environmental, and capacity factors. The methodology generates a ranked list of destination sites, illustrating changes in source and destination sites in each planning period. Results show greater variation in rankings and higher sensitivity to weights between periods compared to standard TOPSIS, demonstrating potential applicability to long-term multi-criteria location selection problems.
2021 SYSTEMS AND INFORMATION ENGINEERING DESIGN SYMPOSIUM (IEEE SIEDS 2021)
(2021)
Article
Engineering, Industrial
Mateusz Oszczypala, Jakub Konwerski, Jaroslaw Ziolkowski, Jerzy Malachowski
Summary: This article discusses the issues related to the redundancy of k-out-of-n structures and proposes a probabilistic and simulation-based optimization method. The method was applied to real transport systems, demonstrating its effectiveness in reducing costs and improving system availability and performance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Wencheng Huang, Haoran Li, Yanhui Yin, Zhi Zhang, Anhao Xie, Yin Zhang, Guo Cheng
Summary: Inspired by the theory of degree entropy, this study proposes a new node identification approach called Adjacency Information Entropy (AIE) to identify the importance of nodes in urban rail transit networks (URTN). Through numerical and real-world case studies, it is found that AIE can effectively identify important nodes and facilitate connections among non-adjacent nodes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Liwei Chen
Summary: This paper discusses the four phases of the system life cycle and the different costs associated with each phase. It proposes an improvement importance method to optimize system reliability and analyzes the process of failure risk under limited resources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Xian Zhao, Chen Wang, Siqi Wang
Summary: This paper proposes a new rebalancing strategy for balanced systems by switching standby components. Different switching rules are provided based on different balance conditions. The system reliability is derived using the finite Markov chain imbedding approach, and numerical examples and sensitivity analysis are presented for validation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Fengyuan Jiang, Sheng Dong
Summary: Corrosion defects are the primary causes of pipeline burst failures. The traditional methodologies ignore the effects of random morphologies on failure behaviors, leading to deviations in remaining strength estimation and reliability analysis. To address this issue, an integrated methodology combining random field, non-linear finite element analysis, and Monte-Carlo Simulation was developed to describe the failure behaviors of pipelines with random defects.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Guoqing Cheng, Jiayi Shen, Fang Wang, Ling Li, Nan Yang
Summary: This paper investigates the optimal joint inspection and mission abort policies for a multi-component system with failure interaction. The proportional hazards model is used to characterize the effect of one component's deterioration on other components' hazard rates. The optimal policy is studied to minimize the expected total cost, and some structural properties of the optimal policy are obtained.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Shaomin Wu
Summary: A new resilience model is proposed in this paper for systems under competing risks, and related indices are introduced for evaluating the system's resilience. The model takes into account the degradation process, external shocks, and maintenance interactions of the system, and its effectiveness is demonstrated through a case study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yang Li, Jun Xu
Summary: This paper proposes a translation model based on neural network for simulating non-Gaussian stochastic processes. By converting the target non-Gaussian power spectrum to the underlying Gaussian power spectrum, non-Gaussian samples can be generated.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yanyan Liu, Keping Li, Dongyang Yan
Summary: This paper proposes a new random walk method, CBDRWR, to analyze the potential risk of railway accidents. By combining accident causation network, we assign different restart probabilities to each node and improve the transition probabilities. In the case study, the proposed method effectively quantifies the potential risk and identifies key risk sources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Nan Hai, Daqing Gong, Zixuan Dai
Summary: The current risk management of utility tunnel operation and maintenance is of low quality and efficiency. This study proposes a theoretical model and platform that offer effective decision support and improve the safety of utility tunnel operation and maintenance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Tomoaki Nishino, Takuya Miyashita, Nobuhito Mori
Summary: A novel modeling methodology is proposed to simulate cascading disasters triggered by tsunamis considering uncertainties. The methodology focuses on tsunami-triggered oil spills and subsequent fires and quantitatively measures the fire hazard. It can help assess and improve risk reduction plans.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Mingjiang Xie, Yifei Wang, Jianli Zhao, Xianjun Pei, Tairui Zhang
Summary: This study investigates the effect of rockfall impact on the health management of pipelines with fatigue cracks and proposes a crack propagation prediction algorithm based on rockfall impact. Dynamic SIF values are obtained through finite element modeling and a method combining multilayer perceptron with Paris' law is used for accurate crack growth prediction. The method is valuable for decision making in pipeline reliability assessment and integrity management.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Saeed Jamalzadeh, Lily Mettenbrink, Kash Barker, Andres D. Gonzalez, Sridhar Radhakrishnan, Jonas Johansson, Elena Bessarabova
Summary: This study proposes an integrated epidemiological-optimization model to quantify the impacts of weaponized disinformation on transportation infrastructure and supply chains. Results show that disinformation targeted at transportation infrastructure can have wide-ranging impacts across different commodities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Jiaxi Wang
Summary: This paper investigates the depot maintenance packet assignment and crew scheduling problem for high-speed trains. A mixed integer linear programming model is proposed, and computational experiments show the effectiveness and efficiency of the improved model compared to the baseline one.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yuxuan Tian, Xiaoshu Guan, Huabin Sun, Yuequan Bao
Summary: This paper proposes a DFMs searching algorithm based on the graph neural network (GNN) to improve computational efficiency and adaptively identify DFMs. The algorithm terminates prematurely when unable to identify new DFMs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
