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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.
DocenteMariani Stefano
QualificaProfessore ordinario a tempo pieno
Dipartimento d'afferenzaDipartimento di Ingegneria Civile e Ambientale
Settore Scientifico DisciplinareCEAR-06/A - Scienza Delle Costruzioni
Curriculum VitaeScarica il CV (221.62Kb - 14/10/2019)

Orario di ricevimento
Dipartimento di Ingegneria Civile e Ambientale1 (edificio 4)100GiovedìDalle 14:30
Alle 17:00
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 2024 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Abstract in Atti di convegno
Delamination of copper/moulding compound interfaces in microelectronics packaging (Mostra >>)
Articoli su riviste
A digital twin framework for civil engineering structures (Mostra >>)
System Identification via Unscented Kalman Filtering and Model Class Selection (Mostra >>)

Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2023 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Abstract in Atti di convegno
Accounting for friction in the characterization of synthetic sports surfaces (Mostra >>)
Active truss metamaterials: modelling and tuning of band gaps (Mostra >>)
Exploring structural sustainability of tall buildings subject to seismic loads (Mostra >>)
Piezo-actuated MEMS testing devices for materials characterization at the microscale (Mostra >>)
Contributi su volumi (Capitolo o Saggio)
Damage identification using physics-based datasets: From convolutional to metric-informed damage-sensitive feature extractors (Mostra >>)
Contributo in Atti di convegno
A Comparative Study on Structural Displacement Prediction by Kernelized Regressors under Limited Training Data (Mostra >>)
A Deep Neural Network, Multi-fidelity Surrogate Model Approach for Bayesian Model Updating in SHM (Mostra >>)
A Multi-stage Machine Learning Methodology for Health Monitoring of Largely Unobserved Structures Under Varying Environmental Conditions (Mostra >>)
A Non-Parametric Mixed Learning Technique for Mitigating Environmental Effects on Structural Modal Frequencies (Mostra >>)
A Parsimonious Yet Robust Regression Model for Predicting Limited Structural Responses of Remote Sensing (Mostra >>)
AI-assisted generative workflow for the early-stage design of sustainable tall buildings based on their structural behaviour (Mostra >>)
Adhesion Copper/Molding Compound: Modeling and Characterization (Mostra >>)
Automatic and Non-Invasive Monitoring of Water Stress in Vineyards (Mostra >>)
Characterization of Polysilicon Strength through On-Chip Testing at MEMS Stoppers (Mostra >>)
Copper/Molding Compound Interfacial Delamination (Mostra >>)
Development of a Zigbee-Based Wireless Sensor Network of MEMS Accelerometers for Pavement Monitoring (Mostra >>)
Full-Field Modal Analysis Using Video Measurements and a Blind Source Separation Methodology (Mostra >>)
Leadframe-Epoxy Moulding Compound Adhesion: a Micromechanics-driven Investigation (Mostra >>)
Optimization of the Geometry of a Microelectromechanical System Testing Device for SiO2—Polysilicon Interface Characterization (Mostra >>)
Regression Tree Ensemble to Forecast Thermally Induced Responses of Long-Span Bridges (Mostra >>)
Structural Identification Using Digital Image Correlation Technology (Mostra >>)
Vision-Based Structural Identification Using an Enhanced Phase-Based Method (Mostra >>)
Articoli su riviste
A multi-fidelity surrogate model for structural health monitoring exploiting model order reduction and artificial neural networks (Mostra >>)
Active Truss Metamaterials: Modelling and Tuning of Band Gaps (Mostra >>)
Assessment of the effects of non-structural components on the seismic reliability of structures via a block diagram method (Mostra >>)
MEMS Reliability: On-Chip Testing for the Characterization of the Out-of-Plane Polysilicon Strength (Mostra >>)
Multi-storey shear type buildings under earthquake loading: Adversarial learning-based prediction of the transient dynamics and damage classification (Mostra >>)
Surface Acoustic Wave-Based Microfluidic Device for Microparticles Manipulation: Effects of Microchannel Elasticity on the Device Performance (Mostra >>)
Truss Metamaterials: Multi-Physics Modeling for Band Gap Tuning (Mostra >>)
Unsupervised cross-domain damage detection and localization for vibration isolators in metro floating-slab track (Mostra >>)

Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2022 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Abstract in Atti di convegno
Enabling supervised learning in structural health monitoring by simulating damaged structure responses through physics based models (Mostra >>)
Enhanced Bayesian model updating for structural health monitoring via deep learning (Mostra >>)
Sistema fotovoltaico per impianto agrivoltaico comprendente una copertura protettiva (Mostra >>)
Contributi su volumi (Capitolo o Saggio)
A Self-adaptive Hybrid Model/data-Driven Approach to SHM Based on Model Order Reduction and Deep Learning (Mostra >>)
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 >>)
Reliability (Mostra >>)
Contributo in Atti di convegno
A Generative Adversarial Network Based Autoencoder for Structural Health Monitoring (Mostra >>)
A Microfluidic Device Based on Standing Surface Acoustic Waves for Sorting and Trapping Microparticles (Mostra >>)
A Multi-Fidelity Deep Neural Network Approach to Structural Health Monitoring (Mostra >>)
Attention Mechanism-Driven Sensor Placement Strategy for Structural Health Monitoring (Mostra >>)
Deep Learning-based Multiscale Modelling of Polysilicon MEMS (Mostra >>)
Health Monitoring of Civil Structures: A MCMC Approach Based on a Multi-Fidelity Deep Neural Network Surrogate (Mostra >>)
On-Chip Tests for the Characterization of the Mechanical Strength of Polysilicon † (Mostra >>)
Two-Scale Deep Learning Model for Polysilicon MEMS Sensors (Mostra >>)
Uncertainty Quantification at the Microscale: A Data-Driven Multi-Scale Approach (Mostra >>)
Unscented Kalman Filter Empowered by Bayesian Model Evidence for System Identification in Structural Dynamics (Mostra >>)
Articoli su riviste
Classification of the Structural Behavior of Tall Buildings with a Diagrid Structure: A Machine Learning-Based Approach (Mostra >>)
Damage Detection in Largely Unobserved Structures under Varying Environmental Conditions: An AutoRegressive Spectrum and Multi-Level Machine Learning Methodology (Mostra >>)
Hybrid Model-Based and Data-Driven Solution for Uncertainty Quantification at the Microscale (Mostra >>)
SHM under varying environmental conditions: an approach based on model order reduction and deep learning (Mostra >>)
Structural health monitoring of civil structures: A diagnostic framework powered by deep metric learning (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
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 >>)
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