Research Output per year
Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 9 Similar Profiles
Fatigue of materials
Engineering & Materials Science
Fatigue crack propagation
Engineering & Materials Science
Fatigue damage
Engineering & Materials Science
Crack propagation
Engineering & Materials Science
Cracks
Engineering & Materials Science
Crack tips
Engineering & Materials Science
Composite materials
Engineering & Materials Science
Corrosion
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2003 2019
Aircraft dynamics simulation using a novel physics-based learning method
Yu, Y., Yao, H. & Liu, Y., Apr 1 2019, In : Aerospace Science and Technology. 87, p. 254-264 11 p.Research output: Contribution to journal › Article
Physics
Aircraft
Computer simulation
Recurrent neural networks
Costs
ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation
Wu, J., He, J. & Liu, Y., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 871-880 10 p. 8622603. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Accidents
Sampling
Air traffic control
Electric network analysis
Labels
Probabilistic fatigue life prediction for concrete bridges using Bayesian inference
Yuan, M., Liu, Y., Yan, D. & Liu, Y., Feb 1 2019, In : Advances in Structural Engineering. 22, 3, p. 765-778 14 p.Research output: Contribution to journal › Article
Concrete bridges
Fatigue of materials
Fatigue damage
Bayesian networks
Reliability analysis
1
Citation
(Scopus)
3D temperature gradient effect on a steel–concrete composite deck in a suspension bridge with field monitoring data
Wang, D., Liu, Y. & Liu, Y., Jul 1 2018, In : Structural Control and Health Monitoring. 25, 7, e2179.Research output: Contribution to journal › Article
Suspension bridges
Thermal gradients
Monitoring
Composite materials
Thermal stress
2
Citations
(Scopus)
A critical plane-based model for mixed-mode delamination growth rate prediction under fatigue cyclic loadings
Liu, Y. & Zhang, C., Apr 15 2018, In : Composites Part B: Engineering. 139, p. 185-194 10 p.Research output: Contribution to journal › Article
Delamination
Fatigue of materials
Energy release rate
Failure modes
Composite materials
Projects 2012 2022
Probabilistic damage diagnostics of pipe internal defects
US Department of Transportation (DOT)
1/24/19 → 9/30/20
Project: Research project
Bayesian Network-Based Data Analytics for Accurate Pipe Strength and Toughness Estimation
DOT: Pipeline Hazardous Materials Safety Administration (PHMSA)
9/20/18 → 4/30/21
Project: Research project
Uncertainty Quantification and Reduction for Pipeline Assessment with Interactive Threats
DOT: Pipeline Hazardous Materials Safety Administration (PHMSA)
8/1/18 → 7/31/21
Project: Research project
Information Fusion for Teal-Time National Air Transportation System Prognostics under Certainty
Liu, Y., Niemczyk, M., Chattopadhyay, A., Cooke, N., Tang, P., Ying, L. & He, J.
NASA: Goddard Space Flight Center
6/15/17 → 6/14/22
Project: Research project
Collaborative Research: Fatigue Damage Prognosis for Slender Coastal Bridges
National Science Foundation (NSF)
9/1/15 → 8/31/19
Project: Research project