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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information on professor
ProfessorDerudi Marco
QualificationAssociate professor full time
Belonging DepartmentDipartimento di Chimica, Materiali e Ingegneria Chimica "Giulio Natta"
Scientific-Disciplinary SectorING-IND/24 - Fundamentals Of Chemical Engineering
Curriculum Vitae--
OrcIDhttps://orcid.org/0000-0002-5577-4447

Contacts
Professor's office hoursProfessor's office hours is not available yet
E-mailmarco.derudi@polimi.it
Professor's personal websitehttps://www.cmic.polimi.it/persone/docenti-e-ricercatori/derudi-marco/

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2023
No product yet registered in the year 2023


List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
A Mathematical Model for the Prediction of the Kst for Metallic Dusts as a Function of the Particle Size Distribution (Show >>)
Implementation of an In Vitro Experimental Setup Simulating Pulmonary Dissolution Following the Inhalation of Radioactive Particulate Material (Show >>)
Preliminary study on oxidation of nuclear grade graphite (Show >>)
Reaction Runaway as a Domino Effect of Pool Fire Engulfing an Ethoxylation Reactor (Show >>)
Road Tunnels Operation: Effectiveness of Emergency Teams as a Risk Mitigation Measure (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
RESILIENCE AND EMERGENCY MANAGEMENT OF ROAD TUNNELS: THE CASE STUDY OF THE SAN ROCCO AND STONIO TUNNELS IN ITALY (Show >>)
Safety in Road Tunnels: Analysis of Fire Accident Location inside the Gran Sasso Tunnel in Italy (Show >>)
Journal Articles
A Practical Tool for Predicting the Minimum Ignition Energy of Organic Dusts (Show >>)
Amino-functionalized magnetic nanoparticles for CO2 capture (Show >>)
Application of Improved CFD Modeling for Prediction and Mitigation of Traffic-Related Air Pollution Hotspots in a Realistic Urban Street (Show >>)


List of publications and reserach products for the year 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
A multi-fidelity framework for the estimation of the turbulent Schmidt number in the simulation of atmospheric dispersion (Show >>)
Kinetic free mathematical model for the prediction of Kst values for organic dusts with arbitrary particle size distribution (Show >>)
Recursive Operability Analysis as a Tool for Risk Assessment in Plants Managing Metal Dusts (Show >>)
Safety in Road Tunnels: Accident Data Analysis of the Italian Motorway A24 and A25 (Show >>)
Tunnel Risk Analysis: a Quantitative Evaluation of the Effectiveness of Emergency Teams Inside the A24 and A25 Motorway Tunnels (Show >>)


List of publications and reserach products for the year 2019 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Prefazione/Postfazione
Preface (Show >>)
Contributions on scientific books
Background of modelling approaches and tools (Show >>)
Calculation of the F-N curve and the expected damage value (Show >>)
Consequence analysis of the accidental scenarios (Show >>)
Distribution model of potentially exposed users (Show >>)
Egress model of tunnel users (Show >>)
Model calibration and validation (Show >>)
Model structure (Show >>)
Queue formation model (Show >>)
Road tunnels risk analysis (Show >>)
Tunnel infrastructure measures, equipment and management procedures (Show >>)
Conference proceedings
Jet fires and reaction runaway interaction: A multiscale approach (Show >>)
Scientific Books
Road Tunnels - An Analytical Model for Risk Analysis (Show >>)
Journal Articles
110th Anniversary: MILD Combustion of Liquid Hydrocarbon-Alcohol Blends (Show >>)
A predictive model for the estimation of the deflagration index of organic dusts (Show >>)
manifesti v. 3.5.7 / 3.5.7
Area Servizi ICT
01/06/2023