Research Output per year
Personal profile
Biography
Dr. Ye Lu received his PhD degree in Mechanical Engineering in 2007 from the School of Aerospace, Mechanical and Mechatronic Engineering at the University of Sydney, Australia. He was awarded an Australian Research Council (ARC) Discovery project including an ARC Australian Postdoctoral Fellowship (ARC-APD) in 2008. Currently he is a senior lecturer at the Department of Civil Engineering, Monash University.
Research interests
Structural health monitoring, Smart materials and structures, Advanced signal processing and artificial intelligence
Education/Academic qualification
Mechanical Engineering, PhD, The University of Sydney
Keywords
- structural health monitoring
- smart materials and structures
- Artificial Intelligence
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1998 2019
Detection and assessment of pitting corrosion in rebars using scattering of ultrasonic guided waves
Sriramadasu, R. C., Banerjee, S. & Lu, Y., 1 Jan 2019, In : NDT and E International. 101, p. 53-61 9 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access
File
Fatigue crack detection in pipes with multiple mode nonlinear guided waves
Guan, R., Lu, Y., Wang, K. & Su, Z., Jan 2019, In : Structural Health Monitoring. 18, 1, p. 180-192 13 p.Research output: Contribution to journal › Article › Research › peer-review
Identification of incipient pitting corrosion in reinforced concrete structures using guided waves and piezoelectric wafer transducers
Sriramadasu, R. C., Lu, Y. & Banerjee, S., 1 Jan 2019, In : Structural Health Monitoring. 18, 1, p. 164-171 8 p.Research output: Contribution to journal › Article › Research › peer-review
Nonlinear aspects of “breathing” crack-disturbed plate waves: 3-D analytical modeling with experimental validation
Wang, K., Li, Y., Su, Z., Guan, R., Lu, Y. & Yuan, S., 1 Aug 2019, In : International Journal of Mechanical Sciences. 159, p. 140-150 11 p.Research output: Contribution to journal › Article › Research › peer-review
Quantitative fatigue crack evaluation in pipeline structures using nonlinear cylindrical waves
Guan, R., Lu, Y., Wang, K. & Su, Z., 1 Feb 2019, In : Smart Materials and Structures. 28, 2, 13 p., 025015.Research output: Contribution to journal › Article › Research › peer-review
Open Access
File