logo-polimi
Loading...
Manifesto
Struttura Corso di Studi
Cerca/Visualizza Manifesto
Regolamento didattico
Internazionalizzazione
Orario Personalizzato
Il tuo orario personalizzato è disabilitato
Abilita
Ricerche
Cerca Docenti
Attività docente
Cerca Insegnamenti
Cerca insegnamenti degli Ordinamenti precedenti al D.M.509
Erogati in lingua Inglese
Le informazioni sulla didattica, sulla ricerca e sui compiti istituzionali riportate in questa pagina sono certificate dall'Ateneo; ulteriori informazioni, redatte a cura del docente, sono disponibili sulla pagina web personale e nel curriculum vitae indicati nella scheda.
Informazioni sul docente
DocenteMariani Stefano
QualificaProfessore associato a tempo pieno
Dipartimento d'afferenzaDipartimento di Ingegneria Civile e Ambientale
Settore Scientifico DisciplinareICAR/08 - Scienza Delle Costruzioni
Curriculum VitaeScarica il CV (221.62Kb - 14/10/2019)
OrcIDhttps://orcid.org/0000-0001-5111-9800

Contatti
Orario di ricevimento
DipartimentoPianoUfficioGiornoOrarioTelefonoFaxNote
Dipartimento di Ingegneria Civile e Ambientale1 (edificio 4)100GiovedìDalle 14:30
Alle 17:00
02-2399427902-23994220--
E-mailstefano.mariani@polimi.it
Pagina web redatta a cura del docente--

Fonte dati: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2022 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributi su volumi (Capitolo o Saggio)
Combined Model Order Reduction Techniques and Artificial Neural Network for Data Assimilation and Damage Detection in Structures (Mostra >>)
Mechanics of Microsystems: A Recent Journey in a Fascinating Branch of Mechanics (Mostra >>)
Contributo in Atti di convegno
A Generative Adversarial Network Based Autoencoder for Structural Health Monitoring (Mostra >>)
Health Monitoring of Civil Structures: A MCMC Approach Based on a Multi-Fidelity Deep Neural Network Surrogate (Mostra >>)
Two-Scale Deep Learning Model for Polysilicon MEMS Sensors (Mostra >>)
Unscented Kalman Filter Empowered by Bayesian Model Evidence for System Identification in Structural Dynamics (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2021 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Abstract in Atti di convegno
A Deep Learning-Based Approach to Uncertainty Quantification for Polysilicon MEMS (Mostra >>)
A Piezo-MEMS Device for Fatigue Testing of Thin Metal Layers (Mostra >>)
A deep learning approach to metric-based damage localization in structural health monitoring (Mostra >>)
A physics-informed neural network approach to stochastic homogenization of polycrystalline materials (Mostra >>)
A two-scale multi-physics deep learning model for smart MEMS sensors (Mostra >>)
An MCMC approach powered by a multi-fidelity deep neural network surrogate for damage localization in civil structures (Mostra >>)
An on-chip MEMS testing device for uncertainty quantification at the microscale (Mostra >>)
Assessment of the seismic bearing capacity of strip footings over a void in heterogeneous soils: a Machine Learning-based approach (Mostra >>)
Dealing with uncertainties in structural damage localization by reduced order modeling and deep learning-based classifiers (Mostra >>)
On-Chip Assessment of Scattering in the Response of Si-Based Microdevices (Mostra >>)
Piezoelectric Ultrasonic Micromotor (Mostra >>)
Stochastic Homogenization and Uncertainty Quantification: A Data-Driven Approach (Mostra >>)
Contributi su volumi (Capitolo o Saggio)
Early Damage Detection for Partially Observed Structures with an Autoregressive Spectrum and Distance-Based Methodology (Mostra >>)
Contributo in Atti di convegno
A Deep Learning Approach for Polycrystalline Microstructure-Statistical Property Prediction (Mostra >>)
A Stochastic Model to Describe the Scattering in the Response of Polysilicon MEMS (Mostra >>)
Learning the Link between Architectural Form and Structural Efficiency: A Supervised Machine Learning Approach (Mostra >>)
Parametric reduced order modelling and deep learning to accomplish pattern recognition and regression tasks (Mostra >>)
SHM and Efficient Strategies for Reduced-Order Modeling (Mostra >>)
Articoli su riviste
A Two-Scale Multi-Physics Deep Learning Model for Smart MEMS Sensors (Mostra >>)
An autoencoder-based deep learning approach for load identification in structural dynamics (Mostra >>)
Health monitoring of large‐scale civil structures: An approach based on data partitioning and classical multidimensional scaling (Mostra >>)
Machine learning-based prediction of the seismic bearing capacity of a shallow strip footing over a void in heterogeneous soils (Mostra >>)
Online structural health monitoring by model order reduction and deep learning algorithms (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2020 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Brevetti
DYNAMIC FACADE SYSTEM FOR CONTROLLING SHADING (Mostra >>)
Contributo in Atti di convegno
A Hybrid Structural Health Monitoring Approach Based on Reduced-Order Modelling and Deep Learning (Mostra >>)
A time series autoencoder for load identification via dimensionality reduction of sensor recordings (Mostra >>)
An Unsupervised Learning Approach for Early Damage Detection by Time Series Analysis and Deep Neural Network to Deal with Output-Only (Big) Data (Mostra >>)
Health Monitoring of Flexible Structures Via Surface-mounted Microsensors: Network Optimization and Damage Detection (Mostra >>)
Low Cost Self-assembling Kinetic façade system for Shading and Water harvesting (Mostra >>)
Mechanical Characterization of Polysilicon MEMS Devices: A Stochastic, Deep Learning-based Approach (Mostra >>)
Stochastic Mechanical Characterization of Polysilicon MEMS: A Deep Learning Approach (Mostra >>)
The impacts of different façade types on energy use in residential buildings (Mostra >>)
Curatela di volumi scientifici
Selected Papers from the 5th International Electronic Conference on Sensors and Applications (Mostra >>)
Articoli su riviste
Assessment of the shock adsorption properties of bike helmets: a numerical/experimental approach (Mostra >>)
Big data analytics and structural health monitoring: A statistical pattern recognition-based approach (Mostra >>)
Combined effects of temperature and humidity on the mechanical properties of polyurethane foams (Mostra >>)
Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection (Mostra >>)
Fast unsupervised learning methods for structural health monitoring with large vibration data from dense sensor networks (Mostra >>)
Fully convolutional networks for structural health monitoring through multivariate time series classification (Mostra >>)
Seismic reliability assessment of RC tunnel-form structures with geometric irregularities using a combined system approach (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2019 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Abstract in Atti di convegno
A novelty detection method for large-scale structures under varying environmental conditions (Mostra >>)
Low-order feature extraction technique and unsupervised learning for SHM under high-dimensional data (Mostra >>)
Brevetti
SISTEMA DI FACCIATA DINAMICA PER IL CONTROLLO DELL’OMBREGGIAMENTO (Mostra >>)
Contributo in Atti di convegno
Structural Health Monitoring for Condition Assessment Using Efficient Supervised Learning Techniques (Mostra >>)
Articoli su riviste
Effect of imperfections due to material heterogeneity on the offset of polysilicon MEMS structures (Mostra >>)
Estimation of air damping in Out-of-plane comb-drive actuators (Mostra >>)
Identification of strength and toughness of quasi-brittle materials from spall tests: a Sigma-point Kalman filter approach (Mostra >>)
Stochastic effects on the dynamics of the resonant structure of a Lorentz force MEMS magnetometer (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2018 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Abstract in Atti di convegno
A thermodynamically consistent model for shape-memory ionic polymers (Mostra >>)
Contributo in Atti di convegno
Polysilicon MEMS Sensors: Sensitivity to Sub-Micron Imperfections (Mostra >>)
Soft actuation of origami-inspired reconfigurable structures through shape memory ionic polymers (Mostra >>)
Monografie o trattati scientifici
Mechanics of Microsystems (Mostra >>)
Articoli su riviste
Cost–benefit optimization of structural health monitoring sensor networks (Mostra >>)
Mechanical characterization of polysilicon MEMS: A hybrid TMCMC/POD-kriging approach (Mostra >>)
Modelling the cushioning properties of athletic tracks (Mostra >>)
On the relationship between force reduction, loading rate and energy absorption in athletics tracks (Mostra >>)
On-chip testing: A miniaturized lab to assess sub-micron uncertainties in polysilicon MEMS (Mostra >>)
Online damage detection in structural systems via dynamic inverse analysis: A recursive Bayesian approach (Mostra >>)
Optimal placement of MEMS sensors for damage detection in composite plates (Mostra >>)
Statistical investigation of the mechanical and geometrical properties of polysilicon films through on-chip tests (Mostra >>)
Structural Health Monitoring Sensor Network Optimization through Bayesian Experimental Design (Mostra >>)
manifesti v. 3.4.25 / 3.4.25
Area Servizi ICT
25/06/2022