[HTML][HTML] Deep learning in optical metrology: a review
With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …
metrology has become versatile problem-solving backbones in manufacturing, fundamental …
Non-destructive testing and evaluation of composite materials/structures: A state-of-the-art review
Composite materials/structures are advancing in product efficiency, cost-effectiveness and
the development of superior specific properties. There are increasing demands in their …
the development of superior specific properties. There are increasing demands in their …
Novel visual crack width measurement based on backbone double-scale features for improved detection automation
Y Tang, Z Huang, Z Chen, M Chen, H Zhou… - Engineering …, 2023 - Elsevier
State-of-the-art machine-vision systems have limitations associated with crack width
measurements. The sample points used to describe the crack width are often subjectively …
measurements. The sample points used to describe the crack width are often subjectively …
Flow over an espresso cup: inferring 3-D velocity and pressure fields from tomographic background oriented Schlieren via physics-informed neural networks
Tomographic background oriented Schlieren (Tomo-BOS) imaging measures density or
temperature fields in three dimensions using multiple camera BOS projections, and is …
temperature fields in three dimensions using multiple camera BOS projections, and is …
[HTML][HTML] Structural health monitoring in composite structures: A comprehensive review
This study presents a comprehensive review of the history of research and development of
different damage-detection methods in the realm of composite structures. Different fields of …
different damage-detection methods in the realm of composite structures. Different fields of …
Machine learning for structural health monitoring: challenges and opportunities
A physics-based approach to structural health monitoring (SHM) has practical shortcomings
which restrict its suitability to simple structures under well controlled environments. With the …
which restrict its suitability to simple structures under well controlled environments. With the …
[HTML][HTML] Digital image and volume correlation for deformation and damage characterisation of fibre-reinforced composites: A review
Digital image and volume correlation (DIC and DVC) are increasingly being used to
measure the deformation and damage behaviour of composite materials. The …
measure the deformation and damage behaviour of composite materials. The …
Dynamic cracking behaviors and energy evolution of multi-flawed rocks under static pre-compression
Understanding the dynamic cracking behaviors and energy evolution of flawed rocks is
highly relevant to underground rock engineering. In this study, multi-flawed rock specimens …
highly relevant to underground rock engineering. In this study, multi-flawed rock specimens …
Noncontact sensing techniques for AI-aided structural health monitoring: a systematic review
Engineering structures and infrastructure continue to be used despite approaching or having
reached their design lifetime. While contact-based measurement techniques are challenging …
reached their design lifetime. While contact-based measurement techniques are challenging …
[HTML][HTML] Temporal phase unwrapping using deep learning
The multi-frequency temporal phase unwrapping (MF-TPU) method, as a classical phase
unwrapping algorithm for fringe projection techniques, has the ability to eliminate the phase …
unwrapping algorithm for fringe projection techniques, has the ability to eliminate the phase …