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Xiangxiong Kong
Xiangxiong Kong
Assistant Professor of Civil Engineering, California State University, Fresno
Dirección de correo verificada de csufresno.edu
Título
Citado por
Citado por
Año
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
1642018
Image registration-based bolt loosening detection of steel joints
X Kong, J Li
Sensors 18 (4), 1000, 2018
1062018
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
702017
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
542019
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
422023
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
412016
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
362018
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
312022
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
312020
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
262019
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
192019
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
152017
Investigation of condominium building collapse in Surfside, Florida: A video feature tracking approach
X Kong, D Smyl
Structures 43, 533-545, 2022
122022
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
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
102018
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
92018
Identifying Geomorphological Changes of Coastal Cliffs through Point Cloud Registration from UAV Images
X Kong
Remote Sensing 13 (16), 3152, 2021
82021
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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Artículos 1–20