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Ruiqi Guan
Ruiqi Guan
Verified email at hqu.edu.cn
Title
Cited by
Cited by
Year
Guided waves for damage identification in pipeline structures: A review
R Guan, Y Lu, W Duan, X Wang
Structural Control and Health Monitoring 24 (11), e2007, 2017
652017
Nonlinear Lamb waves for fatigue damage identification in FRP-reinforced steel plates
Y Wang, R Guan, Y Lu
Ultrasonics 80, 87-95, 2017
472017
Guided waves for debonding identification in CFRP-reinforced concrete beams
J Li, Y Lu, R Guan, W Qu
Construction and Building Materials 131, 388-399, 2017
402017
Fatigue crack detection in pipes with multiple mode nonlinear guided waves
R Guan, Y Lu, K Wang, Z Su
Structural Health Monitoring 18 (1), 180-192, 2019
322019
Nonlinear aspects of “breathing” crack-disturbed plate waves: 3-D analytical modeling with experimental validation
K Wang, Y Li, Z Su, R Guan, Y Lu, S Yuan
International Journal of Mechanical Sciences 159, 140-150, 2019
272019
Nonlinear guided waves for fatigue crack evaluation in steel joints with digital image correlation validation
YF Lee, Y Lu, R Guan
Smart Materials and Structures 29 (3), 035031, 2020
112020
Detection of crack development in steel fibre engineered cementitious composite using electrical resistivity tomography
L Shi, Y Lu, RQ Guan
Smart Materials and Structures 28 (12), 125011, 2019
102019
Quantitative fatigue crack evaluation in pipeline structures using nonlinear cylindrical waves
R Guan, Y Lu, K Wang, Z Su
Smart Materials and Structures 28 (2), 025015, 2018
52018
On a Highly Reproducible, Broadband Nanocomposite Ultrasonic Film Sensor Fabricated by Ultrasonic Atomization‐Assisted Spray Coating
R Guan, F Zou, Z Weng, P Zhou, Y Liao, Z Su, L Huang
Advanced Engineering Materials 22 (11), 2000462, 2020
42020
Structural health monitoring of high-speed railway tracks using diffuse ultrasonic wave-based condition contrast: theory and validation
K Wang, W Cao, Z Su, P Wang, X Zhang, L Chen, R Guan, Y Lu
Smart Struct. Syst 26, 227-239, 2020
42020
A simplified analytical model for the investigation of contact acoustic nonlinearity in pipe structures
R Guan, Y Lu, F Zou, K Wang, Z Su
International Journal of Mechanical Sciences 197, 106328, 2021
32021
A highly sensitive polydopamine@ hybrid carbon nanofillers based nanocomposite sensor for acquiring high-frequency ultrasonic waves
Z Weng, R Guan, F Zou, P Zhou, Y Liao, Z Su, L Huang, F Liu
Carbon 170, 403-413, 2020
32020
Understanding the sensitivity of thin-film graphene/polymer nanocomposite strain sensors to ultrasonic waves: Analytical and experimental analysis
R Guan, F Zou, D Li, W Liu, C Wu
Composites Science and Technology 216, 109079, 2021
22021
Mode excitability and selectivity for enhancing scanning guided wave-based characterization of subwavelength defect
K Wang, R Guan, Y Liao, Z Su
NDT & E International 119, 102418, 2021
12021
Detection of fatigue crack in an aluminium pipe with nonlinear guided waves
R Guan, Y Lu, K Wang, Z Su
12018
A high-thermal-stability, fully spray coated multilayer thin-film graphene/polyamide-imide nanocomposite strain sensor for acquiring high-frequency ultrasonic waves
R Guan, F Zou, D Li, Y Yao
Composites Science and Technology 227, 109628, 2022
2022
highly sensitive polydopaminerid carbon nanofillers based nanocomposite sensor for acquiring high-frequency ultrasonic waves
Z Weng, R Guan, F Zou, P Zhou, Y Liao, Z Su, L Huang, F Liu
Elsevier Ltd, 2020
2020
Quantitative evaluation of fatigue crack using nonlinear guided waves in pipelines
R Guan
Monash University, 2018
2018
Numerical simulation of micro-crack identification in pipes with nonlinear guided waves
R Guan, Y Lu, W Duan, X Wang
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Articles 1–19