Research database

ML4FatigueDesign - Fatigue of advanced materials: a statistical software for automated data analysis

Duration:

01/07/2021 - 30/06/2022

Principal investigator(s):

Andrea Tridello

Project type:

Corporate-funded and donor-funded research

Funding body:

PRIVATI (CRF)

Project identification number:

000

PoliTo role:

Sole Contractor

Abstract

The present project deals with the structural integrity of advanced materials for lightweight design subjected to fatigue loads. The objective is to define an innovative and standardized statistical methodology for reliably assessing the fatigue properties of advanced materials for lightweight design. The second objective is to develop a software for the automated statistical analysis of the fatigue data, providing the material properties needed for the simulations and for the design of components.

People involved

Andrea Tridello (Principal Investigator)
Davide Salvatore Paolino (Component of the research team)

Structures

DIMEAS - Department of Mechanical and Aerospace Engineering

Keywords

ERC sectors

PE8_7 - Mechanical and manufacturing engineering (shaping, mounting, joining, separation)

PE8_8 - Materials engineering (metals, ceramics, polymers, composites, etc.)

Sustainable Development Goals

Obiettivo 12. Garantire modelli sostenibili di produzione e di consumo

Budget

Total cost:	€ 27,000.00
Total contribution:	€ 27,000.00
PoliTo total cost:	€ 27,000.00
PoliTo contribution:	€ 27,000.00