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Xiangxiong Kong
Xiangxiong Kong
Assistant Professor of Civil Engineering, California State University, Fresno
Bestätigte E-Mail-Adresse bei csufresno.edu
Titel
Zitiert von
Zitiert von
Jahr
Vision‐Based Fatigue Crack Detection of Steel Structures Using Video Feature Tracking
X Kong, J Li
Computer‐Aided Civil and Infrastructure Engineering 33 (9), 783-799, 2018
1672018
Image registration-based bolt loosening detection of steel joints
X Kong, J Li
Sensors 18 (4), 1000, 2018
1092018
A large-area strain sensing technology for monitoring fatigue cracks in steel bridges
X Kong, J Li, W Collins, C Bennett, S Laflamme, H Jo
Smart Materials and Structures 26 (8), 085024, 2017
712017
Non-contact fatigue crack detection in civil infrastructure through image overlapping and crack breathing sensing
X Kong, J Li
Automation in construction 99, 125-139, 2019
562019
Preserving our heritage: A photogrammetry-based digital twin framework for monitoring deteriorations of historic structures
X Kong, RG Hucks
Automation in Construction 152, 104928, 2023
502023
Numerical simulation and experimental validation of a large-area capacitive strain sensor for fatigue crack monitoring
X Kong, J Li, C Bennett, W Collins, S Laflamme
Measurement Science and Technology 27 (12), 124009, 2016
422016
Sensing distortion-induced fatigue cracks in steel bridges with capacitive skin sensor arrays
X Kong, J Li, W Collins, CR Bennett, S Laflamme, H Jo
Smart Materials and Structures 27 (11), 115008, 2018
392018
Structural engineering from an inverse problems perspective
A Gallet, S Rigby, TN Tallman, X Kong, I Hajirasouliha, A Liew, D Liu, ...
Proceedings of the Royal Society A 478 (2257), 20210526, 2022
362022
Development of a distortion-induced fatigue crack characterization methodology using digital image correlation
L Dellenbaugh, X Kong, H Al-Salih, W Collins, C Bennett, J Li, EJ Sutley
Journal of Bridge Engineering 25 (9), 04020063, 2020
322020
Thin-Film Sensor for Fatigue Crack Sensing and Monitoring in Steel Bridges under Varying Crack Propagation Rates and Random Traffic Loads
X Kong, J Li, W Collins, CR Bennett, S Laflamme, H Jo
Journal of Aerospace Engineering 32 (1), 2019
282019
Development of wireless sensor node hardware for large-area capacitive strain monitoring
JH Jeong, J Xu, H Jo, J Li, X Kong, W Collins, CR Bennett, S Laflamme
Smart Materials and Structures 28 (1), 015002, 2019
202019
A robust signal processing method for quantitative high-cycle fatigue crack monitoring using soft elastomeric capacitor sensors
X Kong, J Li, W Collins, C Bennett, S Laflamme, H Jo
Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2017
162017
Investigation of condominium building collapse in Surfside, Florida: A video feature tracking approach
X Kong, D Smyl
Structures 43, 533-545, 2022
142022
An image-based feature tracking approach for bolt loosening detection in steel connections
X Kong, J Li
Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2018
122018
Characterization of a soft elastomeric capacitive strain sensor for fatigue crack monitoring
X Kong, J Li, S Laflamme, C Bennett, A Matamoros
Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2015
112015
Experiment study on seismic behavior of steel plane frame with buckling-restrained braces [J]
X Kong, K Luo, S Cheng
Building Structure 10, 003, 2010
11*2010
Invention and experimental study on a new type of buckling-restrained brace [J]
K Luo, X Kong, S Cheng
Building Structure 10, 002, 2010
11*2010
Identifying Geomorphological Changes of Coastal Cliffs through Point Cloud Registration from UAV Images
X Kong
Remote Sensing 13 (16), 3152, 2021
102021
Automated fatigue crack identification through motion tracking in a video stream
X Kong, J Li
Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2018
102018
Fatigue Crack Monitoring using Large-area, Flexible Capacitive Strain Sensors
X Kong, J Li, S Laflamme, C Bennett
The 6th International Conference on Advances in Experimental Structural …, 2015
72015
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