Research

Please find the list of publications at Google Scholar.

| Drill-string dynamics

Nonlinear coupled dynamics of a slender structure (drill-string) with bit-rock interaction and fluid-structure interaction.

• Coupled axial-torsional-lateral nonlinear dynamics [articleIJNM2009]
• Coupled torsional-lateral nonlinear dynamics [articleNDYN2021]
• Horizontal dynamics [articleJSV2013]
• Partially validation of a torsional model using field data [articleM2017]
• Active and passive control [articleJVC2018, articleJPSE2021, articleMSSP2022]
• Hysteretic bit-rock interaction model [articleMSSP2018]
• Uncertain fluid-structure interaction model [articleJFS2014]
• Stochastic bit-rock interaction [articleIJNM2009, articleMSSP2020]
• Bayesian identification [articleBSME2014]
• Integrating physics-based model with machine learning classifiers [articleBMSE2021]
• Test rig designed and built at LAVI-UFRJ to analyze axial-torsional coupled drill-string dynamics [articleJPSE2018]. 

--> to visualize a sample of the experimental results [articleJPSE2018], please run Graphs_TestRigUFRJ.m, where the .mat files are needed: DataArticle1.mat and DataArticle2.mat

| Rotordynamics

Dynamics of rotating machines (e.g. turbine, compressor) excited by unbalance, magnetic forces, and fluid-structure interaction (bearings and seals).

• Rotordynamic Open Source Software [ROSS, articleJOSS]
• Robust optimization of a flexible rotor [articleEO2011]
• Nonlinear rotor [articleJSV2019]
• Hydrodynamic bearing model [arxiv2021]f
• Uncertain seal coefficients [articleBMSE2019]
• Uncertain fluid-structure interaction model
• Rotordynamics with impact and rubbing
• Bayesian identification
• Robust stability analysis 

*Test rig designed and built at LAVI-UFRJ to experimentally measure seal coefficients, video here.

| Wind turbine dynamics

Dynamics of wind turbine and its interactions (fluid-structure, aeroelasticity, fatigue,..)

• Dynamics and control of a wind turbine system
• Stochastic stability analysis [articleMC2015]
• Model calibration and uncertainty quantification [articleMC2014]
• Sensitivity analysis
• Fluid-structure interaction and fatigue

| Structural dynamics, uncertainty quantification and integration of physics-based models with machine learning tools

Nonlinear dynamics of structures, stochastic model (uncertainties), reduced-order model, optimal sensor placement, integration of physics-based models with machine learning tools, etc.

• Digital twin, physics-based model, and machine learning applied to damage detection in structures [articleMSSP2021]
• Data driven Dirichlet sampling on manifolds (DSoM) [articleJCP2021]
• Random matrix to take into account modeling errors [articleBSME2019] 
• Random matrix for non-proportional damping [articleJSV2021]
• Effective independence POM to choose sensors locations [articleSV2014, articleBMSE2019]
• Model order reduction of a vibro-impact system [articleJSV2011]
• Uncertainty propagation in laminated structures with viscoelastic core [articleCS2016]
• Uncertain fluid-structure interaction model [articleJFS2014]

| Other applications

• Uncertainty analysis of heart dynamics using Random Matrix Theory [articleNLM2021]
• Approximate Bayesian computation to calibrate an SEIR-type epidemic COVID-19 model using data from Rio de Janeiro city
• Stochastic model of the human middle ear using a nonparametric probabilistic approach [articleJASA2022]