A Quantification and Identification Method for Pipeline Dents Based on an Enhanced Multivariate Regression Prediction Algorithm DOI
Tong Shi, Xiaoben Liu, Kun Li

et al.

Published: Jan. 1, 2024

Language: Английский

Motion magnification for video-based vibration measurement of civil structures: A review DOI
Kui Luo, Xuan Kong, Jinzhao Li

et al.

Mechanical Systems and Signal Processing, Journal Year: 2024, Volume and Issue: 220, P. 111681 - 111681

Published: June 25, 2024

Language: Английский

Citations

20
Target-free measurement of cable forces based on computer vision and equivalent frequency difference DOI
Kui Luo, Xuan Kong, Lu Deng

et al.

Engineering Structures, Journal Year: 2024, Volume and Issue: 314, P. 118390 - 118390

Published: June 12, 2024

Language: Английский

Citations

18
A visual inspection and diagnosis system for bridge rivets based on a convolutional neural network DOI Creative Commons
Tengjiao Jiang, Gunnstein T. Frøseth, Anders Rønnquist

et al.

Computer-Aided Civil and Infrastructure Engineering, Journal Year: 2024, Volume and Issue: 39(24), P. 3786 - 3804

Published: May 29, 2024

Abstract Rivets are critical mechanical fasteners in steel bridges, and rivet defects may cause catastrophic failure. This study proposes a convolutional neural network (CNN)‐based inspection system for fast identification diagnosis. Rivet states classified as normal, rusted, loose, missing. A CNN‐based training workflow was introduced to develop reliable diagnosis system. multiscale moving window searching technique proposed solve the challenge of small identification. continuous dataset enrichment strategy applied, which improves efficiency minimizes time. The model performance assessed based on historical bridge Gjerstad. significantly enhances rate 96.3%. classification accuracy robustness were evaluated, conditions leading unidentified rivets discussed summarized.

Language: Английский

Citations

12
Tension force estimation of short cable employing axis-shift imaging and multiple mode shapes DOI
Ziyang Su, Linqing Wang,

Jiewen Zheng

et al.

Mechanical Systems and Signal Processing, Journal Year: 2024, Volume and Issue: 218, P. 111543 - 111543

Published: June 1, 2024

Language: Английский

Citations

6
Robust vision-based sub-pixel level displacement measurement using a complementary strategy DOI
Yufeng Weng, Ser Tong Quek, Justin K. W. Yeoh

et al.

Mechanical Systems and Signal Processing, Journal Year: 2024, Volume and Issue: 223, P. 111898 - 111898

Published: Sept. 4, 2024

Language: Английский

Citations

4
A multilevel bridge corrosion detection method by transformer-based segmentation in a stitched view DOI Creative Commons
Ziyue Lu, Tengjiao Jiang, Janko Slavič

et al.

Journal of Civil Structural Health Monitoring, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 28, 2025

Language: Английский

Citations

0
The assessment of individual tree canopies using drone-based intra-canopy photogrammetry DOI Creative Commons
Lukas G. Olson, Nicholas C. Coops, Guillaume Moreau

et al.

Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 234, P. 110200 - 110200

Published: March 9, 2025

Language: Английский

Citations

0
Multi-view camera motion compensation in bridge displacement measurement with panoramic camera DOI
Ziyang Su, Linqing Wang,

Jiewen Zheng

et al.

Mechanical Systems and Signal Processing, Journal Year: 2025, Volume and Issue: 231, P. 112717 - 112717

Published: April 10, 2025

Language: Английский

Citations

0
How to identify earth pressures on in-service tunnel linings: Insights from Bayesian inversion to address non-uniqueness DOI
Zhiyao Tian, Shunhua Zhou, Anthony Lee

et al.

Transportation Geotechnics, Journal Year: 2024, Volume and Issue: 48, P. 101344 - 101344

Published: Aug. 23, 2024

Language: Английский

Citations

2
Enhanced monocular vision system for multi-target deformation monitoring of bridges via oblique photography DOI

Weizhu Zhu,

Tengjiao Jiang, Junlin Heng

et al.

Engineering Structures, Journal Year: 2024, Volume and Issue: 323, P. 119196 - 119196

Published: Nov. 3, 2024

Language: Английский

Citations

2