Photo of Yang Yu

Yang Yu

Assistant Research Professor

Affiliation(s):

  • Architectural Engineering
 
 

 

Education

  • BE, Civil Engineering, Hunan University, 2014
  • Ph D, Structural Engineering, Louisiana State University, 2017

Publications

Journal Articles

  • Yang Yu, C.S. Cai and Yongming Liu, 2021, "Probabilistic vehicle weight estimation using physics-constrained generative adversarial network", Computer-Aided Civil and Infrastructure Engineering
  • Yang Yu, Bianca Kurian, Wei Zhang, C.S. Cai and Yongming Liu, 2021, "Fatigue damage prognosis of steel bridges under traffic loading using a time-based crack growth method", Engineering Structures, 237
  • Yang Yu, Houpu Yao and Yongming Liu, 2020, "Structural dynamics simulation using a novel physics-guided machine learning method", Engineering Applications of Artificial Intelligence, 96
  • Yang Yu, Houpu Yao and Yongming Liu, 2019, "Aircraft dynamics simulation using a novel physics-based learning method", Aerospace Science and Technology, 87, pp. 254-564
  • Yang Yu, C.S. Cai, Wei He and Hui Peng, 2019, "Prediction of maximum traffic load effects of bridges subject to traffic growth using non-stationary Bayesian method", Engineering Structures, 185, pp. 171-183
  • Yang Yu and C.S. Cai, 2019, "Prediction of Extreme Traffic Load Effects of Bridges Using Bayesian Method and Application to Bridge Condition Assessment", Journal of Bridge Engineering, 24, (3)
  • Ping Zhuge, Yang Yu, C.S. Cai, Zi-Hua Zhang and Yong Ding, 2019, "Mechanical Behavior and Optimal Design Method for Innovative CFRP Cable Anchor", Journal of Composite for Construction, 23, (1)
  • Lu Deng, Wei He, Yang Yu and C.S. Cai, 2018, "Equivalent Shear Force Method for Detecting the Speed and Axles of Moving Vehicles on Bridges", Journal of Bridge Engineering, 23, (8)
  • Yang Yu, C.S. Cai and Lu Deng, 2018, "Nothing-on-road bridge weigh-in-motion considering the transverse position of the vehicle", Structure and Infrastructure Engineering, 14, (8), pp. 1108-1122
  • Yang Yu, C.S. Cai and Lu Deng, 2017, "Vehicle axle identification using wavelet analysis of bridge global responses", Journal of Vibration and Control, 23, (17), pp. 2830-2840
  • Yang Yu, Lu Deng, Wei Wang and C.S. Cai, 2017, "Local impact analysis for deck slabs of prestressed concrete box-girder bridges subject to vehicle loading", Journal of Vibration and Control, 23, (1), pp. 31-45
  • Wei He, Lu Deng, Hai Shi, C.S. Cai and Yang Yu, 2017, "Novel Virtual Simply Supported Beam Method for Detecting the Speed and Axles of Moving Vehicles on Bridges", Journal of Bridge Engineering, 22, (4)
  • Lu Deng, Wei Wang and Yang Yu, 2016, "State-of-the-Art Review on the Causes and Mechanisms of Bridge Collapse", Journal of Performance of Constructed Facilities, 30, (2)
  • Miao Xia, C.S. Cai, Fang Pan and Yang Yu, 2016, "Estimation of extreme structural response distributions for mean recurrence intervals based on short-term monitoring", Engineering Structures, 126
  • Yang Yu, C.S. Cai and Lu Deng, 2016, "State-of-the-art review on bridge weigh-in-motion technology", Advances in Structural Engineering, 19, (9), pp. 1514-1530
  • Lu Deng, Yang Yu, Qiling Zou and C.S. Cai, 2015, "State-of-the-Art Review of Dynamic Impact Factors of Highway Bridges", Journal of Bridge Engineering, 20, (5)

Research Projects

Honors and Awards

  • Best Paper Award, Prognostics and Health Management Society (PHM Society), 2018
  • ASCE Outstanding Reviewer, American Society of Civil Engineers (ASCE), 2017

Service

Service to Penn State:

Service to External Organizations:

 


 

About

Widely acknowledged as one of the top Architectural Engineering programs in the world, the Penn State AE Department is dedicated to providing outstanding academic excellence to all of our students. The AE program is focused on preparing students and conducting research in the design, engineering, and construction of building projects.

Department of Architectural Engineering

104 Engineering Unit A

The Pennsylvania State University

University Park, PA 16802

Phone: 814-865-6394