Shaohan Wang

College of Engineering

Works (4)

Updated: September 25th, 2023 10:44

2023 article

Vibration-based hidden damage imaging using stereo cameras with digital image correlation

Wang, S., Abbott, T. B., Fong, R.-Y., Xu, C., & Yuan, F.-G. (2023, August 30). Structural Health Monitoring, Vol. 8.

By: S. Wang n, T. Abbott n, R. Fong n , C. Xu n  & F. Yuan n

author keywords: Vibration-based damage detection; digital image correlation; operational deflection shape; continuous wavelet transform; modal curvature; wavelet transform mode shape curvature
topics (OpenAlex): Structural Health Monitoring Techniques; Thermography and Photoacoustic Techniques; Optical measurement and interference techniques
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 30, 2023

2021 article

Vibration-based damage imaging via high-speed cameras with 3D digital image correlation using wavelet transform

Wang, S., Fong, R.-Y., & Yuan, F.-G. (2021, March 19). Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2021, Vol. 11591, pp. 250–266.

By: S. Wang n, R. Fong n  & F. Yuan n

Contributors: S. Wang n, R. Fong n  & F. Yuan n

author keywords: Vibration-based damage detection (VBDD); Digital image correlation (DIC); Continuous wavelet transform (CWT); Mode shape curvature (MSC); Modal curvature (MC); Operating deflection shape (ODS); WT-MSC/MC
topics (OpenAlex): Optical measurement and interference techniques; Industrial Vision Systems and Defect Detection; Image Processing Techniques and Applications
TL;DR: A novel vision-based damage detection framework which can eliminate the sinusoidal shaker step along with a magnified, precise modal shape data especially for higher modes that typical DIC algorithm can hardly detect is presented. (via Semantic Scholar)
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7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 8, 2021

2020 article

Augmented reality for enhanced visual inspection through knowledge-based deep learning

Wang, S., Zargar, S. A., & Yuan, F.-G. (2020, December 15). Structural Health Monitoring.

By: S. Wang n, S. Zargar n & F. Yuan n

author keywords: Enhanced visual inspection; augmented reality; knowledge-based learning; structural health monitoring; automated damage detection; deep learning; object detection; image segmentation; convolutional neural networks
topics (OpenAlex): 3D Surveying and Cultural Heritage; Infrastructure Maintenance and Monitoring; Augmented Reality Applications
TL;DR: A two-stage knowledge-based deep learning algorithm is presented for enabling automated damage detection in real-time using the augmented reality smart glasses and the more challenging task of defect detection in a multi-joint bolted region is addressed. (via Semantic Scholar)
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4. Quality Education (Web of Science)
Source: Web Of Science
Added: February 15, 2021

2020 article

Machine learning for structural health monitoring: challenges and opportunities

Yuan, F.-G., Zargar, S. A., Chen, Q., & Wang, S. (2020, April 22).

By: F. Yuan n, S. Zargar n, Q. Chen  n & S. Wang n

author keywords: Machine learning; artificial neural networks; physics-informed learning; visual inspection; augmented reality; impact diagnosis; damage diagnosis; structural health monitoring
topics (OpenAlex): Structural Health Monitoring Techniques; Non-Destructive Testing Techniques; Concrete Corrosion and Durability
TL;DR: As a step towards the goal of automated damage detection, preliminary results are presented from dynamic modelling of beam structures using physics-informed artificial neural networks and a sensing paradigm for non-contact full-field measurements for damage diagnosis is presented. (via Semantic Scholar)
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Source: Web Of Science
Added: December 11, 2020

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