L. (Liangliang) Cheng, PhD

1. Vibrational inspection of complex metallic (AM) parts through Process Compensated Resonance Testing (SIM-ICON DETECT-ION)

The goal of this project is to develop industrial nondestructive testing (NDT) technology for damage and defect detection and characterization in composite materials and 3D printed structures. The proposed approach aims to bring together innovations in excitation, sensing, digital data processing, and numerical modelling.

2. Structural health monitoring of a masonry railway bridge using novel sensing techniques (EPSRC UK)

The focus of this field study is to quantify the dynamic strain induced by train moving loads and to reveal the masonry arch bridge's dynamic behaviours through the use of an innovative distributed fibre optical sensing-based technique. This may provide a useful guideline for the application of distributed fibre optical sensing to monitor masonry arch bridges.

3. Linear/Nonlinear damage detection and localization using vibration data and distributed fiber optics (EPSRC UK)

This project is to apply and further expend the Nonlinear Output Frequency Response Functions (NOFRF) into Mass-Damper-Spring systems with the aim of identifying and localizing the damage with linear and nonlinear features through the use of distributed fiber optic sensing technique.

4. Defects detection using infrared thermography integrated with artificial intelligence (BBijzonder OnderzoeksFonds Ghent University)

This projet aims to propose various deep learning models for automated defects detection and analysis of thermography data. The proposed models are solely trained on the numerical dataset to release the experimental efforts.