[HTML][HTML] Deep learning in optical metrology: a review

C Zuo, J Qian, S Feng, W Yin, Y Li, P Fan… - Light: Science & …, 2022 - nature.com
With the advances in scientific foundations and technological implementations, optical
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

B Wang, S Zhong, TL Lee… - Advances in …, 2020 - journals.sagepub.com
Composite materials/structures are advancing in product efficiency, cost-effectiveness and
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 …

Flow over an espresso cup: inferring 3-D velocity and pressure fields from tomographic background oriented Schlieren via physics-informed neural networks

S Cai, Z Wang, F Fuest, YJ Jeon, C Gray… - Journal of Fluid …, 2021 - cambridge.org
Tomographic background oriented Schlieren (Tomo-BOS) imaging measures density or
temperature fields in three dimensions using multiple camera BOS projections, and is …

[HTML][HTML] Structural health monitoring in composite structures: A comprehensive review

S Hassani, M Mousavi, AH Gandomi - Sensors, 2021 - mdpi.com
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 …

Machine learning for structural health monitoring: challenges and opportunities

FG Yuan, SA Zargar, Q Chen… - Sensors and smart …, 2020 - spiedigitallibrary.org
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 …

[HTML][HTML] Digital image and volume correlation for deformation and damage characterisation of fibre-reinforced composites: A review

J Holmes, S Sommacal, R Das, Z Stachurski… - Composite …, 2023 - Elsevier
Digital image and volume correlation (DIC and DVC) are increasingly being used to
measure the deformation and damage behaviour of composite materials. The …

Dynamic cracking behaviors and energy evolution of multi-flawed rocks under static pre-compression

Z Yan, F Dai, J Zhu, Y Xu - Rock Mechanics and Rock Engineering, 2021 - Springer
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 …

Noncontact sensing techniques for AI-aided structural health monitoring: a systematic review

A Sabato, S Dabetwar, NN Kulkarni… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Engineering structures and infrastructure continue to be used despite approaching or having
reached their design lifetime. While contact-based measurement techniques are challenging …

[HTML][HTML] Temporal phase unwrapping using deep learning

W Yin, Q Chen, S Feng, T Tao, L Huang, M Trusiak… - Scientific reports, 2019 - nature.com
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 …