- Fatigue and fracture mechanics
- Welding Techniques and Residual Stresses
- Mechanical stress and fatigue analysis
- Non-Destructive Testing Techniques
- Advanced machining processes and optimization
- Engineering Structural Analysis Methods
- High Temperature Alloys and Creep
- Gear and Bearing Dynamics Analysis
- Microstructure and Mechanical Properties of Steels
- Mechanical Failure Analysis and Simulation
- Advanced Surface Polishing Techniques
- Metal Forming Simulation Techniques
- Structural Load-Bearing Analysis
- Hydrogen embrittlement and corrosion behaviors in metals
- Vibration and Dynamic Analysis
- Mechanical Engineering and Vibrations Research
- Structural Health Monitoring Techniques
- Metallurgy and Material Forming
- Surface Treatment and Residual Stress
- Bladed Disk Vibration Dynamics
- Tribology and Lubrication Engineering
- Advanced Measurement and Detection Methods
- Metal Alloys Wear and Properties
- Optical measurement and interference techniques
- Probabilistic and Robust Engineering Design
University of Pisa
2016-2025
Deep learning (DL), that is becoming quite popular for prediction and analysis of complex patterns in large amounts data used to investigate the safety behaviour nuclear plant items. This achieved by using multiple layers artificial neural networks process transform input data, allowing creation highly accurate predictive models. Particularly aim unsupervised machine approach digital twin concept form pressurized water reactor 2-loop simulator are used. innovative methodology based on...
When the blind hole drilling method is used to evaluate high residual stresses in a metallic component, plastic relaxed strain can be produced region because of stress concentration that causes local reach yielding. By assuming linear–elastic behaviour material, significant error result. The present paper analyses phenomenon plasticity locally induced by introduction and proposes procedure take into account its effects on evaluation. correcting has been developed elaborating large database...
Abstract In the present work, we propose a robust calibration of some bi‐parametric multiaxial fatigue criteria applied in conjunction with theory critical distances (TCD). This is based on least‐square fitting data generated using plain and sharp‐notched specimens tested at two different load ratios allows for estimation distance according to point line method formulation TCD. It shown that this combination permits incorporate mean stress effect into strength calculation, which not...
This study aimed to predict the uniaxial fatigue strength of shot peened notched specimens made 42CrMo4 quenched and tempered steel. The Chaboche kinematic hardening rule was employed model cyclic plastic behaviour tested samples evolution residual stresses, which were measured with X-ray diffraction then reproduced through a finite element software novel proposed procedure. latter introduced distribution eigenstrains reproduce initial stresses material replicate after loading for run-out...