| 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 | 75 | 2017 |
| Nonlinear Lamb waves for fatigue damage identification in FRP-reinforced steel plates Y Wang, R Guan, Y Lu Ultrasonics 80, 87-95, 2017 | 55 | 2017 |
| 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 | 47 | 2019 |
| 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 | 44 | 2017 |
| 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 | 32 | 2019 |
| 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 | 18 | 2020 |
| 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 | 12 | 2019 |
| 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 | 7 | 2021 |
| 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 | 6 | 2020 |
| 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 | 6 | 2018 |
| 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 | 5 | 2020 |
| 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 | 5 | 2020 |
| 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 | 4 | 2021 |
| 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 | 2 | 2021 |
| Detection of fatigue crack in an aluminium pipe with nonlinear guided waves R Guan, Y Lu, K Wang, Z Su Proceedings of the 7th Asia-Pacific Workshop on Structural Health Monitoring …, 2018 | 1 | 2018 |
| Advancing measurement of zero-group-velocity Lamb waves using PVDF-TrFE transducers: first data and application to in situ health monitoring of multilayer bonded structures Q Liu, Y Li, R Guan, J Yan, M Liu, G Luo, Z Su, X Qing, K Wang Structural Health Monitoring, 14759217221126812, 2022 | | 2022 |
| 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 | | |
Ye LuAssociate Professor of Monash UniversityVerified email at monash.edu
