• Room 129, Building 60, Monash University

Accepting PhD Students

19982019
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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 journalArticleResearchpeer-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 journalArticleResearchpeer-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 journalArticleResearchpeer-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 journalArticleResearchpeer-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 journalArticleResearchpeer-review

Open Access
File