di pietro andrea

 

Linkedin: https://www.linkedin.com/in/andrea-di-pietro/

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Ciclo: XXXVIII

Curriculum: Mechanics

Title of the PhD Project: Validation of prosthetic joint implants through the coupling of in silico methods and experimental data collection

Supervisor(s): Prof.ssa Francesca Di Puccio, Prof.ssa Lorenza Mattei

In collaboration with: “Sport&Anatomy “ Biomechanics Lab

Abstract of the PhD project: To address the limitations of traditional clinical trials for orthopedic implants, this PhD research methodology focuses on three main approaches: motion analysis, musculoskeletal modeling, and Finite Element Method (FEM) analysis. Motion analysis is performed using infrared stereophotogrammetric cameras to capture marker movements on subjects performing specific motor tasks, while force platforms measure ground reaction forces. The data obtained are used to create a lower body or whole body musculoskeletal model using OpenSim software, which is adapted to each subject based on the marker data. This approach enables inverse kinematics and dynamics analyses to estimate model muscle forces and joint moments. In addition, from CT scans and CAD files of the implants, FEM models of the pelvis and joint implants are generated to set up long time wear simulations within the Ansys solver. This integrated approach aims to enhance the predictive accuracy of implant performance and reduce the costs and time associated with conventional clinical testing.

Teaching experience: 

  • Teaching support activities (bando “Fondo Giovani 2023/24)” for the teaching “Meccanica applicata al sistema muscoloscheletrico” through frontal classroom exercises ( 20 hours)
  • Teaching support activities (bando “Fondo Giovani 2022/23)” for the teaching “Meccanica applicata al sistema muscoloscheletrico” through frontal classroom exercises ( 8 hours)

Publications 

Orcid ID https://orcid.org/0009-0007-2668-899X 

Articles 

  • “Pin-on-plate vs. Pin-on-disk wear tests: theoretical and numerical 
    observations on the initial transient phase” (doi.org/10.3390/lubricants12040134) 
    Francesca Di Puccio, Andrea Di Pietro, Lorenza Mattei 
  • “Are Suprapectineal Quadrilateral Surface Buttressing Plates Performances Superior to Traditional Fixation? A Finite Element Analysis” (doi.org/10.3390/app11020858

Mara Terzini, Andrea Di Pietro, Alessandro Aprato, Stefano Artiaco, Alessandro Massè, Cristina Bignardi  

  • “AST: an OpenSim-based tool for the automatic scaling of generic musculoskeletal models” (under review) 

Andrea Di Pietro, Alex Bersani, Cristina Curreli, Francesca Di Puccio 

  • “Biomechanical Analysis of Cuban Motion” ( under review) 

Antonia Centrone, Rosanna M. Viglialoro, Andrea Di Pietro, Lorenza Mattei, Francesca Di Puccio 

  • “Daily activities kinematics and kinetics in subjects with external fixator: preliminary tests” ( under review) 

Autori: Andrea Di Pietro, Rosanna Viglialoro, Lorenza Mattei, Stefano Marchetti, Francesca Di Puccio  

Conferences 

  • International Society of Biomechanics in Sports, Salzburg (AT), July 15-19 2024 

“Biomechanical analysis of the burpee push-up using predicted ground reaction forces” (Accepted Abstract) 

Andrea Di Pietro, Francesca Di Puccio 

  • European Society of Biomechanics (ESB 24), Edinburgh (UK), 30 June – 3 July 2024 

“Prediction of ground reaction forces using Computed Muscle Control in OpenSim” (Accepted Abstract) 

Andrea Di Pietro, Francesca Di Puccio 

  • Computer Methods in Biomechanics and Biomedical Engineering (CMBBE 23), Paris (FR), May 3-5 2023 

 “Daily activities kinematics and kinetics in subjects with external fixator: preliminary tests”  

  1. Viglialoro, Andrea Di Pietro, L. Mattei, E. Rosellini, S. Marchetti, M. Gesi, F. Di Puccio 
  • European Society of Biomechanics (ESB 23), Maastricht (NL), July 7-12 2023 

“A Matlab tool to scale iteratively and automatically generic musculoskeletal models”  

Andrea Di Pietro, Francesca Di Puccio  

  • “Pisa incontra lo sport”, Aula Magna Pacinotti (Pisa, IT), May 25 2023 

 “Simulazione del movimento: stimare quello che non si riesce a misurare” 

Andrea Di Pietro  

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