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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
ProfessorCadini Francesco
QualificationAssistant professor full time
Belonging DepartmentDipartimento di Meccanica
Scientific-Disciplinary SectorING-IND/14 - Mechanical Design And Machine Construction
Curriculum VitaeDownload CV (326.41Kb - 18/01/2021)
OrcIDhttps://orcid.org/0000-0001-9235-396X

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Professor's office hoursProfessor's office hours is not available yet
E-mailfrancesco.cadini@polimi.it
Professor's personal website--

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

List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Investigation on low velocity impact damage identification with ultrasonic techniques under different sensor network conditions (Show >>)
Journal Articles
Finite Element Modelling of a Parabolic Trough Collector for Concentrated Solar Power (Show >>)
Shape sensing and damage identification with iFEM on a composite structure subjected to impact damage and non-trivial boundary conditions (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
Assessment of the ultimate actual strength of rock-climbing protection devices: Extraction tests in the field and the human capability to predict the ultimate strength (Show >>)
Fatigue damage diagnosis and prognosis of an aeronautical structure based on surrogate modelling and particle filter (Show >>)
Global reliability sensitivity analysis by Sobol-based dynamic adaptive kriging importance sampling (Show >>)
On the evaluation of a coupled sequential approach for rotorcraft landing simulation (Show >>)


List of publications and reserach products for the year 2019 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Adaptive training of neural networks by a particle filter for prognosis of damaged structures (Show >>)
Industry 4.0 and Automotive 4.0: Challenges and Opportunities for Designing New Vehicle Components for Automated and/or Electric Vehicles (Show >>)
Journal Articles
Experimental investigation on the mechanical behavior of an innovative parabolic trough collector (Show >>)
Impact of uncertainties on the safety performances of the LBE-XADS concept nuclear reactor (Show >>)
Particle filtering-based adaptive training of neural networks for real-time structural damage diagnosis and prognosis (Show >>)
Robust identification of strain waves due to low-velocity impact with different impactor stiffness (Show >>)
State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters (Show >>)


List of publications and reserach products for the year 2018 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A DATA-DRIVEN PARTICLE FILTER FOR LITHIUM-ION BATTERIES STATE-OF-LIFE PROGNOSIS (Show >>)
A combined framework for automated diagnosis and prognosis based on surrogate modelling and a particle filter (Show >>)
Dealing with uncertainty in modelling of wastewater disinfection by peracetic acid (Show >>)
Surrogate modelling for observation likelihood calculation in a particle filter framework for automated diagnosis and prognosis (Show >>)
Journal Articles
Electrical and topological drivers of the cascading failure dynamics in power transmission networks (Show >>)
Modeling the effects of tolerances and assembly errors on the optical performances of parabolic collectors in a concentrating solar power system (Show >>)


List of publications and reserach products for the year 2017 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Adaptive prognosis of fatigue damage based on the combination of particle filters and neural networks (Show >>)
Journal Articles
A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions (Show >>)
A particle filter-based model selection algorithm for fatigue damage identification on aeronautical structures (Show >>)
Adaptive prognosis of lithium-ion batteries based on the combination of particle filters and radial basis function neural networks (Show >>)
Advanced monte carlo methods and applications (Show >>)
Estimation of rare event probabilities in power transmission networks subject to cascading failures (Show >>)
manifesti v. 3.4.8 / 3.4.8
Area Servizi ICT
07/05/2021