QUANTIFYING THE UNCERTAIN: PHYSICS DRIVEN ARTIFICIAL INTELLIGENCE TO RESOLVE THE EFFECT OF DEFECT IN 3D PRINTED COMPONENTS – QUAID3

Ref.No: 61400700
Start date: 21.11.2023
End date: 20.11.2025
Approval date: 15.11.2023
Department: CIVIL ENGINEERING
Sector: STRUCTURAL ENGINEERING
Financier: ΕΛΛΑΔΑ 2.0 ΕΘΝΙΚΟ ΣΧΕΔΙΟ ΑΝΑΚΑΜΨΗΣ &ΑΝΘΕΚΤΙΚΟΤΗΤΑΣ, ELLHNIKO IDRYMA EREYNAS KAI KAINOTOMIAS
Budget: 189.156,00 €
Public key: 60ΥΨ46ΨΖΣ4-11Ρ
Scientific Responsible: Assist. Prof. SAVVAS TRIANTAFULLOU
Email: savtria@gmail.com
Description: WE PROPOSE A NOVEL THEORETICAL FRAMEWORK FOR THE UNCERTAINTY QUANTIFICATION OF FRACTURE PROCESSES IN HIGHLY ANISOTROPIC MATERIALS ACROSS MULTIPLE SCALES. TO ACHIEVE THIS, WE AIM TO DELIVER A NICHE THEORY FOR THE DESCRIPTION OF FRACTURE PROCESSES IN ANISOTROPIC MEDIA ACROSS MULTIPLE SCALES AND RECAST IT WITHIN A STOCHASTIC UQ THEORETICAL FRAMEWORK THAT WILL ACCURATELY ACCOUNT FOR THE INHERENT UNCERTAINTIES AT THE MICRO-SCALE THAT DRIVE DAMAGE AS THIS PROPAGATES ACROSS SCALES. WE WILL USE THIS UQ FRAMEWORK TO TRAIN RAPID DATA DRIVEN SURROGATES TO EVENTUALLY DELIVER A NEAR REAL-TIME UQ TOOL FOR COMPLEX MATERIAL ARCHITECTURES
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