• Room 129, Building 60, Monash University

Accepting PhD Students

19982020

Research output per year

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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, University of Sydney

Research area 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

Concrete crack detection with handwriting script interferences using faster region-based convolutional neural network

Deng, J., Lu, Y. & Lee, V. C. S., Apr 2020, In : Computer-Aided Civil and Infrastructure Engineering. 35, 4, p. 373-388 16 p.

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Identification of pitting corrosion in steel bars and rebars embedded in concrete using ultrasonic guided waves

Sriramadasu, R. C., Lu, Y. & Banerjee, S., 2020, Proceedings of the 9th International Conference on Advances in Steel Structures, ICASS 2018. Chan, S. L., Chan, T-M. & Zhu, S. (eds.). Hong Kong Institution of Steel Construction

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

Open Access

Nonlinear guided waves for fatigue crack evaluation in steel joints with digital image correlation validation

Lee, Y. F., Lu, Y. & Guan, R., Mar 2020, In : Smart Materials and Structures. 29, 3, 12 p., 035031.

Research output: Contribution to journalArticleResearchpeer-review

Sensitivity of longitudinal guided wave modes to pitting corrosion of rebars embedded in reinforced concrete

Sriramadasu, R. C., Banerjee, S. & Lu, Y., 10 Apr 2020, In : Construction and Building Materials. 239, 13 p., 117855.

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Sensor networks for structural health monitoring

Mustapha, S., Ng, C. T., Lu, Y. & Malinowski, P., 2020, In : Journal of Sensors. 2020, 2 p., 3060672.

Research output: Contribution to journalEditorialOther

Open Access
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