Article
Multidisciplinary Sciences
Mark M. Dekker
Summary: Railway systems are crucial for modern societies, but susceptible to disruptions and delays, making delay spreading hard to predict. This study analyzes delay structures in four European countries' railway systems using a graph-based model and spectral clustering, providing boundaries for local decision-making and risk assessment.
SCIENTIFIC REPORTS
(2021)
Review
Green & Sustainable Science & Technology
Shuva Paul, Abodh Poudyal, Shiva Poudel, Anamika Dubey, Zhaoyu Wang
Summary: This paper explores the current landscape of resilience evaluation and metrics within the power distribution system domain, identifying key attributes and addressing challenges in the formulation and calculation of these metrics. It also discusses the interdependencies between power distribution systems and other critical infrastructures, as well as strategies to enhance system resilience. The paper provides support for power distribution system operators and planners in developing effective mitigation strategies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Computer Science, Interdisciplinary Applications
Saf'a N. Maraqa, Deniz Berfin Karakoc, Nafiseh Ghorbani-Renani, Kash Barker, Andres D. Gonzalez
Summary: The timely restoration of infrastructure networks is critical for society's functionality and wellbeing. This paper proposes a multi-objective model for enhanced restoration by determining optimal job sequencing, crew assignment, and project crashing to expedite the recovery of interdependent infrastructure networks.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Zhigang Ye, Chen Chen, Ruihuan Liu, Kai Wu, Zhaohong Bie, Guannan Lou, Wei Gu, Yubo Yuan
Summary: In this paper, an integrated distribution system restoration (DSR) framework and optimization models are proposed to quickly restore power loads by coordinating repair crews, distribution systems, and emergency communication. Case studies validate the effectiveness of the proposed models and highlight the importance of considering emergency communication vehicles (ECVs) and cyber-physical interdependencies in DSR.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Review
Construction & Building Technology
Wenque Liu, Ming Shan, Sheng Zhang, Xianbo Zhao, Zhao Zhai
Summary: This study aims to fill the knowledge gap by comprehensively reviewing infrastructure research conducted from 2011 to 2021. It identified five research streams in infrastructure resilience and proposed directions for future research, including analyzing factor influencing infrastructure resilience, assessing green infrastructure resilience, improving interdependent infrastructure resilience, and predicting infrastructure resilience based on empirical research.
Article
Engineering, Electrical & Electronic
Tao Ding, Ming Qu, Zekai Wang, Bo Chen, Chen Chen, Mohammad Shahidehpour
Summary: A three-stage resilient unit commitment model is proposed to enhance the power system's resilience against typhoon events by considering uncertainty in typhoon paths and line outages. Resources are coordinated based on worst-case scenarios for each possible typhoon path, involving preventive control, emergency control, and restoration stages. The model is tested on the IEEE 118-bus system and a real-world provincial system to validate its effectiveness.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Industrial
Neetesh Sharma, Paolo Gardoni
Summary: This paper introduces a new mathematical formulation that models infrastructure as a set of generalized flow network objects and simulates interdependencies among infrastructure using dynamic interfaces. The formulation can also model bilateral and looped interdependencies, providing guidelines for selecting boundaries and resolutions.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Civil
Jin Zhu, Sudipta Chowdhury
Summary: This technical note proposes the adoption of system-level biomimicry as an innovative method to enhance the resilience of civil infrastructure against disasters and disruptions, and provides examples and rationale to support this approach.
JOURNAL OF INFRASTRUCTURE SYSTEMS
(2022)
Article
Construction & Building Technology
Zhenyu Zhang, Shixian Li, Aidi Chen, Xin Jin, Junjian Lan, Yuyao Liu, Hsi-Hsien Wei
Summary: This study proposes an integer programming method combined with hybrid genetic algorithms to investigate the impact of interactions between highway-bridge systems and electric power systems on the energy-recovery processes of buildings. The findings demonstrate that the dynamic model outperforms the static model in improving building energy resilience.
Article
Engineering, Industrial
Mateusz Iwo Dubaniowski, Hans Rudolf Heinimann
Summary: Understanding the impact of disruptions on infrastructure systems, households, and businesses is crucial for assessing the resilience of urban systems. The study presents a framework for modeling interdependencies between households, businesses, and infrastructure systems, and explores the cost of 8 disruption scenarios in a specific area of Singapore. Results confirm that multi-system failures have the largest impact on urban areas, and disruptions disproportionately affect small vulnerable areas. Additionally, disruptions to utility systems are found to be more costly than to easily reconfigurable businesses or transportation networks, with key factors influencing the application of the framework identified for future research.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
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
Engineering, Industrial
Baoping Cai, Yanping Zhang, Haifeng Wang, Yonghong Liu, Renjie Ji, Chuntan Gao, Xiangdi Kong, Jing Liu
Summary: A novel evaluation methodology combining Markov model and dynamic Bayesian networks is proposed to assess system resilience under the influence of various external disasters. The method establishes an external disaster model, obtains system performance, and calculates resilience value through the integral of the performance curve. An example of its application in subsea blowout preventers demonstrates its effectiveness.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Melissa De Iuliis, Omar Kammouh, Gian Paolo Cimellaro, Solomon Tesfamariam
Summary: The resilience of infrastructure is crucial in reducing disaster risk and evaluating recovery time after catastrophic events, with Downtime (DT) being a key parameter to measure infrastructural seismic resilience. This paper proposes a Bayesian Network (BN) probabilistic approach to evaluate infrastructure DT post-earthquake, with three scenarios demonstrating the methodology's effectiveness despite uncertain parameters. The methodology can support decision-makers in managing and minimizing earthquake impacts, as well as in promptly recovering damaged infrastructure.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(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
Computer Science, Information Systems
Abdollah Younesi, Hossein Shayeghi, Amin Safari, Pierluigi Siano
Summary: This study proposes a framework for quantitatively evaluating power system resilience considering the effects of multiple microgrids, incorporating various features related to power system resilience. The effectiveness of the proposed method in modeling the impact of multiple microgrids was tested on both a test case and a real electricity network.
IEEE SYSTEMS JOURNAL
(2021)
Article
Engineering, Industrial
Lihui Shi, Kailash C. Kapur
QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT
(2015)
Article
Construction & Building Technology
Dorothy Reed, Shuoqi Wang, Kailash Kapur, Cheng Zheng
JOURNAL OF STRUCTURAL ENGINEERING
(2016)
Article
Construction & Building Technology
Dorothy Reed, Shuoqi Wang, Kailash Kapur, Cheng Zheng
JOURNAL OF STRUCTURAL ENGINEERING
(2016)
Article
Engineering, Manufacturing
Sandy Weininger, Kailash C. Kapur, Michael Pecht
IEEE TRANSACTIONS ON COMPONENTS AND PACKAGING TECHNOLOGIES
(2010)
Article
Engineering, Industrial
Yung-Wen Liu, Kailash C. Kapur
Article
Engineering, Industrial
Zhaojun Li, Kailash C. Kapur
Article
Automation & Control Systems
Qianmei Feng, Kailash C. Kapur
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2009)
Article
Engineering, Industrial
Ming-Hung Shu, Bi-Min Hsu, Kailash C. Kapur
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2010)
Article
Engineering, Multidisciplinary
Lihui Shi, Changliang Zou, Zhaojun Wang, Kailash C. Kapur
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2009)
Article
Engineering, Multidisciplinary
Lihui Shi, Kailash C. Kapur
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2015)
Article
Engineering, Industrial
Qianmei Feng, Hande Sahin, Kailash C. Kapur
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2009)
Article
Engineering, Industrial
Zhaojun Li, Kailash C. Kapur
QUALITY ENGINEERING
(2013)
Article
Engineering, Industrial
Qianmei Feng, Kailash C. Kapur
Article
Engineering, Industrial
YW Liu, KC Kapur
