Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Yongming Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
-
Convolutional Neural Networks for Multifidelity Data Aggregation
Chen, J., Gao, Y. & Liu, Y., 2022, AIAA SciTech Forum 2022. American Institute of Aeronautics and Astronautics Inc, AIAA, AIAA 2022-2144. (AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Damage-augmented nonlocal lattice particle method for fracture simulation of solids
Meng, C. & Liu, Y., May 15 2022, In: International Journal of Solids and Structures. 243, 111561.Research output: Contribution to journal › Article › peer-review
-
Data-Driven Sensitivity Analysis for Static Mechanical Properties of Additively Manufactured Ti–6Al–4V
Sharma, A., Chen, J., Diewald, E., Imanian, A., Beuth, J. & Liu, Y., Mar 2022, In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering. 8, 1, 011108.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Energy-based time derivative damage accumulation model under uniaxial and multiaxial random loadings
Tien, S. C., Wei, H., Chen, J. & Liu, Y., Jan 2022, In: Fatigue and Fracture of Engineering Materials and Structures. 45, 1, p. 159-173 15 p.Research output: Contribution to journal › Article › peer-review
-
Fatigue modeling using neural networks: A comprehensive review
Chen, J. & Liu, Y., Apr 2022, In: Fatigue and Fracture of Engineering Materials and Structures. 45, 4, p. 945-979 35 p.Research output: Contribution to journal › Review article › peer-review
2 Scopus citations
-
CC Compute The Arizona Federated Open Research Computing Enclave AFORCE an Advanced Computing Platform for Science Engineering and Health
Sulc, P., Herrmann, M., Sankar, L., Oswald, J., Muhich, C., Jennewein, D., Pfeifer, S., Yang, Y., Line, M., Liang, J., Ren, Y., Singharoy, A., Heyden, B. M., Liu, Y., Zheng, W., Beckstein, O., Seo, J., Jayasuriya, S., Wang, Y., Singh, A., Ozkan, S. & Jiao, Y.
National Science Foundation (NSF)
10/1/21 → 9/30/23
Project: Research project
-
Uncertainty quantification of plastic pipe damage diagnosis using NDE
DOT: Pipeline Hazardous Materials Safety Administration (PHMSA)
9/1/20 → 8/31/23
Project: Research project
-
Unaxial and multiaxial fatigue testing under random variable amplitude loadings
DOD-NAVY: Office of Naval Research (ONR)
3/20/20 → 1/3/23
Project: Research project