Nicola Pedroni

Nicola Pedroni
Politecnico di Torino | polito · DENERG - Department of Energy

PhD, HDR

About

130
Publications
25,738
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
1,689
Citations
Citations since 2016
50 Research Items
1223 Citations
2016201720182019202020212022050100150200
2016201720182019202020212022050100150200
2016201720182019202020212022050100150200
2016201720182019202020212022050100150200
Introduction
I am an Associate Professor at the Energy Department “Galileo Ferraris” of Politecnico di Torino. My research is focused on the study and development of advanced computational methods for the reliability, safety, risk, vulnerability and resilience analyses of complex, safety-critical engineering systems (industrial installations, e.g. nuclear power plants, and critical infrastructures, e.g. power transmission networks), in presence of uncertainties.
Additional affiliations
March 2022 - July 2022
Politecnico di Torino
Position
  • Elective course “Safety of Energy Plants” (40 hours): Responsible of the organization and activity of the course
Description
  • Responsible of the organization and activity of the (elective) course “Safety of Energy Plants” (40 hours) of the First Level graduation course in Energy Engineering, Politecnico di Torino (Torino, Italy). Lectures, exercise sessions and exams.
March 2021 - June 2022
Politecnico di Torino
Position
  • Responsible of lectures (26h) and exercise sessions (6h) held during the course “Risk Analysis”
Description
  • Second Level graduation course in Petroleum and Mining Engineering, Politecnico di Torino (Torino, Italy). The topics cover qualitative and quantitative methods for the risk assessment of energy systems.
March 2020 - June 2020
Politecnico di Torino
Position
  • Responsible of lectures (24h) and exercise sessions (25h) held during the course “Risk Analysis”
Description
  • Second Level graduation course in Petroleum and Mining Engineering, Politecnico di Torino (Torino, Italy). The topics cover qualitative and quantitative methods for the risk assessment of energy systems.
Education
March 2018 - March 2024
Ministero dell'Istruzione, dell'Università e della Ricerca
Field of study
  • Scientific Disciplinary Area 09/C2 – Thermodynamics and Nuclear Engineering
February 2017 - December 2021
Conseil National des Universités (CNU) - French National University Board
Field of study
  • Engineering Informatics, Automatics and Signal Processing (Scientific Disciplinary Sector CNU 61)
February 2016 - February 2016
Université Grenoble Alpes
Field of study
  • Engineering Informatics, Automatics and Signal Processing (Scientific Sector CNU 61)

Publications

Publications (130)
Article
In passive safety system analysis, it is important to provide the uncertainty quantification of the Thermal-Hydraulic (T-H) code output (e.g., the amount of energy exchanged by the passive safety system during an accidental transient). This requires setting proper Probability Density Functions (PDFs) to represent the uncertainty of selected code in...
Article
A preliminary but systematic safety analysis of a liquid metal divertor (LMD) for the EU DEMO performed by means of the Functional Failure Mode and Effect Analysis (FFMEA) is presented. This methodology is suitable for the analysis of the LMD, which is undergoing preconceptual design. In fact, the FFMEA compensates for the lack of detailed design i...
Article
In this paper, we consider the computational model of a dynamic aerospace system and address the issues posed by the NASA Langley Uncertainty Quantification Challenge on Optimization Under Uncertainty, which comprises six tasks. Subproblem A deals with the model calibration and (aleatory and epistemic) uncertainty quantification of a subsystem by m...
Article
In the safety analyses of passive systems for nuclear energy applications, computationally demanding models can be substituted by fast-running surrogate models coupled with adaptive sampling techniques; for speeding up the exploration of the components and system state-space and the characterization of the conditions leading to failure (i.e., the s...
Presentation
Full-text available
The response of engineered systems under different conditions can be studied, in general, by means of mathematical models implemented in corresponding computer codes for numerical simulations. In particular, in the analysis of safety-critical systems (such as nuclear power plants, electrical grids, etc.) repeated model simulations are used to ident...
Article
Full-text available
In the International Thermonuclear Experimental Reactor, plasma is magnetically confined with Superconductive Magnets (SMs) that must be maintained at the cryogenic temperature of 4.5 K by one or more Superconducting Magnet Cryogenic Cooling Circuits (SMCCC). To guarantee cooling, Loss-of-Flow Accidents (LOFAs) in the SMCCC are to be avoided. In th...
Article
Full-text available
Passive systems are fundamental for the safe development of Nuclear Power Plant (NPP) technology. The accurate assessment of their reliability is crucial for their use in the nuclear industry. In this paper, we present a review of the approaches and procedures for the reliability assessment of passive systems. We complete the work by discussing the...
Article
In this work, we propose an Inverse Uncertainty Quantification (IUQ) approach to assigning Probability Density Functions (PDFs) to uncertain input parameters of Thermal-Hydraulic (T-H) models used to assess the reliability of passive safety systems. The approach uses experimental data within a Bayesian framework. The application to a RELAP5-3D mode...
Article
Passive Safety Systems (PSSs) are increasingly employed in advanced Nuclear Power Plants (NPPs). Their safety performance is evaluated through computationally expensive Thermal-Hydraulic (T-H) simulations models and the identification of the operational conditions which lead to unsafe conditions (the so-called Critical failure Regions, CRs) may be...
Article
In the International Thermonuclear Experimental Reactor, plasma is magnetically confined with Superconductive Magnets (SMs) that must be maintained at cryogenic temperature by a Superconducting Magnet Cryogenic Cooling Circuit (SMCCC). To guarantee cooling, Loss-Of-Flow Accidents (LOFAs) in the SMCCC are to be avoided. In this work, an approach to...
Article
The most promising configuration of a nuclear energy fusion system is the tokamak, the largest of which, called ITER, is under construction in Cadarache, France, which uses a complex system of superconducting magnets to generate a field of several tesla (T), aimed at confining the plasma in the toroidal chamber where nuclear fusion reactions occur....
Article
Risk assessment provides information to support decision-making. Then, the confidence that can be put in its outcomes is fundamental, and this depends on the accuracy, representativeness and completeness of the models used in the risk assessment. A quantitative measure is needed to assess the credibility and trustworthiness of the outcomes obtained...
Conference Paper
Full-text available
In this paper, Subproblems A, B and C of the NASA Langley Uncertainty Quantification (UQ) Challenge on Optimization Under Uncertainty are addressed. Subproblem A deals with the model calibration and (aleatory and epistemic) uncertainty quantification of a subsystem, where a characterization of the parameters of the subsystem is sought by resorting...
Article
An empirical classification model based on the Majority Rule Sorting (MR‐Sort) method has been previously proposed by the authors to evaluate the vulnerability of safety‐critical systems (in particular, nuclear power plants [NPPs]) with respect to malevolent intentional acts. In this article, the model serves as the basis for an analysis aimed at d...
Conference Paper
Full-text available
A non-intrusive reduced order model for studying the nuclear reactor core stability in presence of localised perturbations due to operational uncertainties is analysed. Following the standard neutronics calculation chain, a two-step model based on a combination of POD and RBF approaches is proposed in order to reduce the computational time of both...
Article
Full-text available
The design of the European Union (EU) DEMO reactor magnet system, currently ongoing within the EUROfusion consortium, will take advantage of the know-how developed during the design and manufacturing of ITER magnets; however, DEMO will suffer some new, more severe challenges, e.g., larger tritium inventory and higher neutron fluence, both having an...
Conference Paper
Full-text available
In recent years, there has been a growing interest in nuclear fusion as energy source due to its several principle advantages over fission, which include reduced radioactivity in operation and in waste, large fuel supplies, and increased safety. The most promising configuration of a nuclear fusion system is currently the tokamak, the largest of whi...
Conference Paper
In recent years, there has been a growing interest in nuclear fusion as energy source due to its several principle advantages over fission, which include reduced radioactivity in operation and in waste, large fuel supplies, and increased safety. The most promising configuration of a nuclear fusion system is currently the tokamak, the largest of whi...
Article
Full-text available
The fragility curve is defined as the conditional probability of failure of a structure, or its critical components, at given values of seismic intensity measures (IMs). The conditional probability of failure is usually computed adopting a log-normal assumption to reduce the computational cost. In this paper, an artificial neural network (ANN) is c...
Article
In moving towards ITER operation, the detailed analysis of fault conditions for the magnets becomes of increasing importance, to verify that the magnet protection system can safely manage them without any damage to the magnets. A “protected” Loss of Flow Accident in the ITER Toroidal Field (TF) coils, detected by the coil flow meters and managed by...
Article
Full-text available
The identification undesired or abnormal states of a nuclear power plant is of primary importance for defining accident prevention and mitigation actions. To this aim, computational models and simulators are frequently employed, as they allow to study the system response to different operational conditions. For complex systems like the nuclear powe...
Presentation
Full-text available
Oral presentation of the paper: T. Bani-Mustafa, N. Pedroni, E. Zio, D. Vasseur, F. Beaudouin, “A hierarchical tree-based decision making approach for assessing the trustworthiness of risk assessment models”, in: Proceedings of the 2017 International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA 2017), Pittsburgh, PA, USA, Se...
Conference Paper
Full-text available
Risk assessment models are conceptual constructs (translated into mathematical forms), built on a set of assumptions (hypotheses) made on the available knowledge. In this sense, the risk assessment outcomes are conditional on the available knowledge. Risk assessment provides informative support to decision making (DM), and assurance must be provide...
Article
Full-text available
Mathematical numerical models are increasingly employed to simulate system behavior and identify sequences of events or configurations of the system's design and operational parameters that can lead the system to extreme conditions (Critical Region, CR). However, when a numerical model is: i) computationally expensive, ii) high-dimensional, and iii...
Article
Full-text available
In this study, we tackle the problem of searching for the most favourable pattern of link capacities allocation that makes a power transmission network resilient to cascading failures with limited investment costs. This problem is formulated within a combinatorial multi-objective optimization framework and tackled by evolutionary algorithms. Two di...
Conference Paper
Full-text available
In earthquake engineering, the fragility curve is defined as the conditional probability of failure of a structure, or its critical components, at given values of seismic intensity measures (IMs). For simulation-based fragility curve estimations, this conditional probability of failure is usually computed with lognormal assumption. The artificial n...
Article
An Adaptive Metamodel-Based Subset Importance Sampling (AM-SIS) approach, previously developed by the authors, is here employed to assess the (small) functional failure probability of a thermal-hydraulic (T-H) nuclear passive safety system. The approach relies on an iterative Importance Sampling (IS) scheme that efficiently couples the powerful cha...
Article
Full-text available
Models for the assessment of the risk of complex engineering systems are affected by uncertainties due to the randomness of several phenomena involved and the incomplete knowledge about some of the characteristics of the system. The objective of this article is to provide operative guidelines to handle some conceptual and technical issues related t...
Article
Full-text available
We look at the behavior of structural systems under the occurrence of seismic events with the aim of identifying the fragility curves. Artificial Neural Network (ANN) empirical regression models are employed as fast-running surrogates of the (long-running) Finite Element Models (FEMs) that are typically adopted for the simulation of the system stru...
Presentation
Full-text available
Invited Seminar given at the SET-Nav workshop on “Modelling of Risk & Uncertainty in Energy Systems” held at ETH Zurich on March 29th 2017. The event is organized by the SET-Nav (www.set-nav.eu) consortium and hosted by Reliability and Risk Engineering (RRE) lab and the Energy Science Center (ESC) at ETH Zurich.
Article
Full-text available
The end states reached by an engineered system during an accident scenario depend not only on the sequences of the events composing the scenario, but also on their timing and magnitudes. Including these additional features within an overarching framework can render the analysis infeasible in practical cases, due to the high dimension of the system...
Article
Full-text available
The technical problem addressed in the present paper is the assessment of the safety criticality of energy production systems. An empirical classification model is developed, based on the Majority Rule Sorting method, to evaluate the class of criticality of the plant/system of interest, with respect to safety. The model is built on the basis of a (...
Presentation
Full-text available
Public seminar given in partial fulfillment of the procedures held to cover the position of Permanent Associate professor in the Academic Recruitment Field 09/C2 - Thermal Sciences, Energy Technology, Building Physics and Nuclear Engineering and Academic Discipline ING-IND/19 - Nuclear Power Plants, at Politecnico di Torino (Torino, Italy)
Article
Full-text available
In this paper, we present a methodological work that adopts a system-of-systems (SoS) viewpoint for the evaluation of the robustness of interdependent critical infrastructures (CIs). We propose a Hierarchical Graph representation, where the product flow is dispatched to the demand nodes in consideration of different priorities. We use a multi-state...
Article
Full-text available
The efficient estimation of system reliability characteristics is of paramount importance for many engineering applications. Real world system reliability modeling calls for the capability of treating systems that are: i) dynamic, ii) complex, iii) hybrid and iv) highly reliable. Advanced Monte Carlo (MC) methods offer a way to solve these types of...
Conference Paper
Full-text available
Modern Critical Infrastructures (CIs) are typically characterized by a large number of elements intercon-nected and interdependent. Their mathematical representation reflects these characteristics in models that typically turn out to be: 1) complex, since the relation between the variables can be nonlinear; 2) large, since a high number of variable...
Presentation
Full-text available
Two-hour lecture titled “Vulnerability/Risk Assessment: Use of Non Probabilistic Approaches”, held during the Easter School on ‘Systems Approaches to Risk Assessment and Management’, organized by the EPSRC & ESRC Centre for Doctoral Training in Quantification and Management of Risk & Uncertainty in Complex Systems & Environments
Presentation
Full-text available
Two-hour lecture titled “Assessment of Risk, Vulnerability and Resilience in Complex, Safety-Critical Systems and Infrastructures: Concepts/Problems”, held during the Easter School on ‘Systems Approaches to Risk Assessment and Management’, organized by the EPSRC & ESRC Centre for Doctoral Training in Quantification and Management of Risk & Uncertai...
Presentation
Full-text available
Two-hour lecture titled “Complex Systems Applications: Cases in Networked Infrastructures”, held during the Easter School on ‘Systems Approaches to Risk Assessment and Management’, organized by the EPSRC & ESRC Centre for Doctoral Training in Quantification and Management of Risk & Uncertainty in Complex Systems & Environments.
Article
Full-text available
A classification model based on the Majority Rule Sorting method has been previously proposed by the authors to evaluate the vulnerability of safety-critical systems (e.g., nuclear power plants) with respect to malevolent intentional acts. In this paper, we consider a classification model previously proposed by the authors based on the Majority Rul...
Article
Full-text available
In this paper, we address the issue of updating in a Bayesian framework, the possibilistic representation of the epistemically-uncertain parameters of (aleatory) probability distributions, as new information (e.g., data) becomes available. Two approaches are considered: the first is based on a purely possibilistic counterpart of the classical, well...
Article
In this paper, we propose two metrics, i.e., the optimal repair time and the resilience reduction worth, to measure the criticality of the components of a network system from the perspective of their contribution to system resilience. Specifically, the two metrics quantify: 1) the priority with which a failed component should be repaired and re-ins...
Thesis
Full-text available
Safety-critical industrial installations (e.g., nuclear plants) and infrastructures (e.g., power transmission networks) are complex systems composed by a multitude and variety of heterogeneous ‘elements’, which are highly interconnected and mutually dependent. In addition, such systems are affected by large uncertainties in the characterization of...
Data
Presentation given to obtain the National (French) Academic Habilitation to Direct the Research (HDR) in the Scientific Disciplinary Sector 61 – Engineering Informatics, Automatics and Signal Processing. This diploma is essential for applying to Full Professor positions in France. The habilitation has been conferred by the University Grenoble Alpes...
Conference Paper
Full-text available
The assessment of the functional failure probability of a thermal-hydraulic (T-H) passive system can be done by Monte Carlo (MC) sampling of the uncertainties affecting the T-H system model and its parameters. The computational effort associated to this approach can be prohibitive because of the large number of lengthy T-H code simulations necessar...
Conference Paper
Full-text available
We look at the (failure) behavior of structural systems under the occurrence of seismic events. Detailed, long-running Finite Element Models (FEMs) are typically adopted for the simulation of the system structural response. However, since a very large number of simulations (e.g., several thousands) is usually required for an accurate assessment of...
Conference Paper
Full-text available
In Integrated Deterministic Probabilistic Safety Assessment (IDPSA), the end state reached by the dynamic engineered system under analysis, as outcome of an accident scenario, depends on the failure sequence in the scenario, but also on the magnitude and timing of the failures. Including these additional dimensions can render the analysis infeasibl...
Article
Full-text available
In this paper, a classification model based on the Majority Rule Sorting (MR-Sort) Method is employed to evaluate the vulnerability of safety-critical systems with respect to malevolent intentional acts. The model is built on the basis of a (limited-size) set of data representing (a priori-known) vulnerability classification examples. The empirical...
Article
Full-text available
In this paper, we look at the robustness and recovery of connected critical infrastructures (CIs) under a system-of-systems (SoS) framework taking into account i) the dependencies among the components of an individual CI and the interdependencies among different CIs; ii) the variability in component performance, by a multi-state model; iii) the epi...
Article
Full-text available
Large scale outages on real-world critical infrastructures (CIs), although infrequent, are increasingly disastrous to our society. In this paper, we are primarily concerned with power transmission networks and we consider the problem of allocation of generation to distributors by rewiring links under the objectives of maximizing network resilience...
Article
Full-text available
The mathematical models employed in the risk assessment of complex safety-critical engineering systems cannot capture all the characteristics of the system under analysis due to 1) the intrinsically random nature of several of the phenomena occurring during system operation (aleatory uncertainty) and 2) the incomplete knowledge about some of the ph...
Data
Full-text available
Course “Managing Uncertainty For Reliability Optimization - Maîtrise Des Incertitudes Pour l’Optimisation De La Fiabilité” (24 hours) of the Master Recherche “Optimisation des Systèmes Industriels et Logistiques (OSIL)” held at Ecole Centrale Paris (ECP), Chatenay-Malabry, France. The activity has entailed the organization of 3 (three-hour) lecture...
Data
Full-text available
Course “Managing Uncertainty For Reliability Optimization - Maîtrise Des Incertitudes Pour l’Optimisation De La Fiabilité” (24 hours) of the Master Recherche “Optimisation des Systèmes Industriels et Logistiques (OSIL)” held at Ecole Centrale Paris (ECP), Chatenay-Malabry, France. The activity has entailed the organization of 3 (three-hour) lecture...
Data
Full-text available
Course “Managing Uncertainty For Reliability Optimization - Maîtrise Des Incertitudes Pour l’Optimisation De La Fiabilité” (24 hours) of the Master Recherche “Optimisation des Systèmes Industriels et Logistiques (OSIL)” held at Ecole Centrale Paris (ECP), Chatenay-Malabry, France. The activity has entailed the organization of 3 (three-hour) lecture...
Data
Full-text available
Three-hour lecture titled “Markov Models for Reliability and Availability Analysis”, held during the course “Risk Management” of the international Master in “Nuclear Energy” organized by a consortium of several academic institutions (Universitè Paris-Sud 11, ParisTech, Ecole Centrale Paris and Supelec and CEA-INSTN) with the support of several indu...
Data
Full-text available
Four-hour lecture and three-hour tutorial titled “Uncertainty modeling”, held during the 3rd PhD School on "Vulnerability, Risk and Resilience of Complex Systems", 13-17 October 2014, SUPELEC, Gif-sur-Yvette (France). Given also in 2013. Supported by: Institut des Sciences du Risque et de l’Incertain (ISRI)
Conference Paper
Full-text available
Large scale outages on critical infrastructures (CIs) resulting from small initial failures, although infrequent, are increasingly disastrous to society; thus, it’s imperative to optimally design these systems in order to maximize their resilience against cascading failure. The optimization task requires the understanding and modelling of the dynam...
Conference Paper
Full-text available
In this paper, we look at the robustness of connected critical infrastructures under a systems-of-systems framework taking into account i) the dependencies and interdependencies among the components of a critical infrastructure and between different critical infrastructures, respectively; ii) the variability of the performance of each component by...