RACI
Resilience Assessment of Critical Infrastructures
Quantifying resilience to inform decisions in critical infrastructures
This ESReDA Project Group focuses on advancing quantitative approaches to assess the
resilience of critical infrastructures under complex and uncertain conditions. It promotes
cross-disciplinary collaboration and the transfer of proven methods across infrastructure
domains, addressing emerging threats, global change and NaTech scenarios. The group
aims to support informed management decisions by integrating resilience assessment
with investment and maintenance strategies.
ESReDA Project Group on Resilience Assessment of Critical Infrastructure
The project group (PG) has started in 2022 and focuses on resilience applications in
critical infrastructures, promoting cross-disciplinary collaboration and application of
proven methods from one infrastructure domain (e.g. energy, transportation, etc.) to
other infrastructures, including also the issue of NaTech scenarios linking natural
hazards and technological accidents. The PG partners focus on the specific
infrastructure domain they are working on and promote methodological exchange of
successful methods or approaches. The aim of the PG is to develop and propose an
integrated approach for quantitative resilience assessment, including management
decisions (comparison of solutions for investment, maintenance) in a context of
uncertain scenarios (global change and emerging threats, NaTech scenarios).
The PG continues the work done in the previous ESReDA project group “Resilience
Engineering and Modelling of Networked Infrastructure”, led by the University of
Nottingham (Dr Rasa Remenyte-Prescott, Prof. John Andrews, Kate Sanderson) during
2018–2021. The PG work was accomplished by publishing a book, “Modelling the
Resilience of Infrastructure Networks” (Eds. Rasa Remenyte-Prescott, Vytis
Kopustinskas) in late 2021.
Scope of the Project Group
Research in resilience of infrastructure systems has been constantly increasing during the last decade and is expected to grow further. Although the term resilience originates from research in ecology back in the 1970s, self-repairable computer systems developed in the same decade for space and defence applications can be considered among the first engineering implementations of resilience concepts.
Resilience applications in technical systems have evolved significantly over the last two decades, and the concept has been formally transferred to the policy domain through the Directive on the Resilience of Critical Entities (CER Directive), which entered into force in January 2023, replacing the former Critical Infrastructure Directive (2008).
The PG focuses on resilience applications in critical infrastructures, promoting cross-disciplinary collaboration and the transfer of proven methods across infrastructure domains, including energy systems and NaTech-related infrastructures. Partners concentrate on their specific infrastructure domains while fostering methodological exchange of successful approaches.
The following key issues are addressed by the Project Group:
- Methodological development of resilience assessment, from conceptual
frameworks to modelling approaches - Definition of resilience metrics and development of quantitative tools for
decision-making
As in the previous PG, a full life-cycle system approach is adopted
ESReDA Project Group Proposal
Objectives
The Project Group pursues the following three main objectives:
- To develop a forum where leading researchers from academia and industry can
meet, exchange ideas and, where appropriate, work together on projects related
to Resilience Assessment. - To produce a technical reference documenting the current state of the art and
the advances achieved during the lifetime of the Project Group in the field of
Resilience Assessment. - To disseminate the work conducted, with emphasis on its practical application,
through ESReDA seminars and other relevant channels.
Project Duration
- Start date: 1 May 2023
- Duration: 3 years
Project Group Leaders
- Dr. Vytis Kopustinskas – European Commission, Joint Research Centre
- Dr. Jean-Marc Tacnet – University of Grenoble, France
- Dr. Christophe Bérenguer – University of Grenoble, France
Project Group Members
Join our Project Groups and collaborate with ESReDA members on real, ongoing initiatives with meaningful impact. Connect with experts from different countries, share knowledge, develop new ideas, and take part in community-driven projects built through teamwork.
Leaders
Members
Collaborators
Member Publications
“Fatigue delamination shape prognostics in composites using numerical simulation-assisted transfer learning”
Type: Journal Article
DOI: 10.1016/J.AEI.2025.104025 EID: WOS:001607520400002
“Data augmentation-aided fatigue delamination shape prognostics in composites”
Type: Journal Article
DOI: 10.1016/J.COMPSTRUCT.2025.119748 EID: WOS:001600332400001
“An asset management modelling framework for wind turbine blades considering monitoring system reliability”
Type: Journal Article
“A computer-based simulation methodology of the predetermined maintenance scheme of an irradiation facility”
Type: Journal Article
DOI: 10.1016/J.CIE.2024.110671 EID: WOS:001349909300001
“A general approach to assessing SHM reliability considering sensor failures based on information theory”
Type: Journal Article
“Description of the female of Labium walkeri Turner & Waterson, 1920 from Australia with new distribution data of L. montivagum (Hymenoptera, Ichneumonidae, Labeninae)”
Type: Journal Article
DOI: 10.11646/ZOOTAXA.5471.2.5 EID: WOS:001281047500001
“A novel semi-empirical approach to non-destructively evaluate the effect of infills on frame buildings”
Type: Journal Article
“Reliability-based leading edge erosion maintenance strategy selection framework”
Type: Journal Article
DOI: 10.1016/J.APENERGY.2023.122612 EID: WOS:001163518100001
“A semi-empirical method for shear response modelling of masonry infilled frame structures”
Type: Journal Article
“Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics”
Type: Journal Article
“Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries”
Type: Journal Article
“Intelligent and adaptive asset management model for railway sections using the iPN method”
Type: Journal Article
“Generative Adversarial Networks for Improved Model Training in the Context of the Digital Twin”
Type: Journal Article
DOI: 10.1155/STC/9997872 EID: WOS:001381050100001
“Particle filter-based delamination shape prediction in composites subjected to fatigue loading”
Type: Journal Article
DOI: 10.1177/14759217221116041 EID: WOS:000837361600001
“Damage Quantification and Identification in Structural Joints through Ultrasonic Guided Wave-Based Features and an Inverse Bayesian Scheme”
Type: Journal Article
DOI: 10.3390/S23084160 EID: WOS:000979333000001
“Self-adaptive optimized maintenance of offshore wind turbines by intelligent Petri nets”
Type: Journal Article
“Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns”
Type: Journal Article
DOI: 10.1016/J.ENGAPPAI.2022.105790 EID: WOS:000919379100001
“A wind turbine blade leading edge rain erosion computational framework”
Type: Journal Article
“Particle Filter-Based Delamination Shape Prediction in Composites”
Type: Journal Article
“Robust optimal sensor configuration using the value of information”
Type: Journal Article
DOI: 10.1002/STC.3143 EID: WOS:000880500400001
“Structural digital twin framework: Formulation and technology integration”
Type: Journal Article
“A Bayesian approach for damage assessment in welded structures using Lamb-wave surrogate models and minimal sensing”
Type: Journal Article
“Reduction of Petri net maintenance modeling complexity via Approximate Bayesian Computation”
Type: Journal Article
“A cross-sectoral review of the current and potential maintenance strategies for composite structures”
Type: Journal Article
“Adaptive approximate Bayesian computation by subset simulation for structural model calibration”
Type: Journal Article
DOI: 10.1111/MICE.12762 EID: WOS:000692778100001
“Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials”
Type: Journal Article
DOI: 10.1016/J.ENGAPPAI.2021.104511 EID: WOS:000747080100005
“A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects”
Type: Journal Article
“Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys”
Type: Journal Article
DOI: 10.3390/SU13116038 EID: WOS:000660739500001
“Structural Health Monitoring Using Ultrasonic Guided-Waves and the Degree of Health Index”
Type: Journal Article
DOI: 10.3390/S21030993 EID: WOS:000615491400001
“OptiSens-Convex optimization of sensor and actuator placement for ultrasonic guided-wave based structural health monitoring”
Type: Journal Article
“Optimal sensor and actuator placement for structural health monitoring via an efficient convex cost-benefit optimization”
Type: Journal Article
“A Markov chains prognostics framework for complex degradation processes”
Type: Journal Article
“Optimal sensor configuration for ultrasonic guided-wave inspection based on value of information”
Type: Journal Article
“A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves”
Type: Journal Article
“Plausible Petri nets as self-adaptive expert systems: A tool for infrastructure asset monitoring”
Type: Journal Article
DOI: 10.1111/MICE.12427 EID: WOS:000460470900001
“A Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media”
Type: Journal Article
DOI: 10.1007/S11242-018-1094-2 EID: WOS:000455397000010
“A knowledge-based prognostics framework for railway track geometry degradation”
Type: Journal Article
“A new paradigm for uncertain knowledge representation by Plausible Petri nets”
Type: Journal Article
DOI: 10.1016/J.INS.2018.04.029 EID: WOS:000434742700020
“A new algorithm for prognostics using Subset Simulation”
Type: Journal Article
“A reliability-based prognostics framework for railway track management”
Type: Journal Article
“A multilevel Bayesian method for ultrasound-based damage identification in composite laminates”
Type: Journal Article
“An Information Theoretic Approach for Knowledge Representation using Petri Nets”
Type: Journal Article
DOI: 10.1109/FTC.2016.7821606 EID: WOS:000399455300021
“Condition-based prediction of time-dependent reliability in composites”
Type: Journal Article
“Model-Based Damage Evaluation of Layered CFRP Structures”
Type: Journal Article
DOI: 10.1063/1.4914727 EID: WOS:000354938100138
“Predicting fatigue damage in composites: A Bayesian framework”
Type: Journal Article
DOI: 10.1016/J.STRUSAFE.2014.06.002 EID: WOS:000340324800007
“Information-theory approach to model class assessment for tissue-engineered cultures consistence evolution”
Type: Journal Article
EID: WOS:000346381500012
“APPROXIMATE BAYESIAN COMPUTATION BY SUBSET SIMULATION”
Type: Journal Article
DOI: 10.1137/130932831 EID: WOS:000338783300020
“Model-based probability of detection of pathologies in soft tissue”
Type: Journal Article
EID: WOS:000346381500011
“FDTD simulations for ultrasound propagation in a 2-D cervical tissue model”
Type: Journal Article
EID: WOS:000346381500010
“Ultrasonic monitoring of artificial tissue mechanical properties in biorreactor”
Type: Journal Article
EID: WOS:000346381500008
“Device for monitoring samples e.g. tissue cultures, in medicine field, has analysis part provided with programmable unit for comparing and analyzing wave signals that are emitted and received by transmitter and receiver transducers”
Type: Patent
EID: DIIDW:2013F17033
“Fatigue Damage Prognosis in FRP Composites by Combining Multi-Scale Degradation Fault Modes in an Uncertainty Bayesian Framework”
Type: Journal Article
EID: WOS:000329292700167
“A MULTISCALE MECHANICAL MODEL FOR THE CERVICAL TISSUE”
Type: Journal Article
“Reliability in composites - A selective review and survey of current development”
Type: Journal Article
DOI: 10.1016/J.COMPOSITESB.2011.10.007 EID: WOS:000303284200008
“Device for monitoring samples such as tissue cultures or cellular cultures, has processing and analyzing unit that processes and analyzes signals that are transmitted through culture plate”
Type: Patent
EID: DIIDW:2012L94789
“Self-tensioning structure for composite-material bridges, has three-dimensionally hyperstatic structure formed by joining several elements to each other and to supports”
Type: Patent
EID: DIIDW:2010A66622
“Effects of sodium on mineral nutrition in rose plants”
Type: Journal Article
DOI: 10.1111/J.1744-7348.2000.TB00058.X EID: WOS:000168120700008
Join to RACI Project Group
Collaborate with experts, share experience and contribute to practical solutions in safety, reliability and risk management.