Researcher

Fields of Research (FoR)

Structural Engineering, Mechanical Engineering, Stochastic Analysis and Modelling, Dynamics, Vibration and Vibration Control, Composite Materials, Other Artificial Intelligence, Knowledge Representation and Machine Learning

Biography

Professor in the School of Civil and Environmental Engineering

Research Interests

  • AI and machine learning in structural analysis and design
  • Stochastic structural analysis and safety assessment in CAD/CAE
  • Computational uncertainty/stochastic mechanics
  • Composite materials and structures
  • Stability and reliability analysis
  • Structural optimization and metamaterial design
  • Vibration and control
  • Vehicle-infrastructure interaction dynamics
  • Engineered...view more

Professor in the School of Civil and Environmental Engineering

Research Interests

  • AI and machine learning in structural analysis and design
  • Stochastic structural analysis and safety assessment in CAD/CAE
  • Computational uncertainty/stochastic mechanics
  • Composite materials and structures
  • Stability and reliability analysis
  • Structural optimization and metamaterial design
  • Vibration and control
  • Vehicle-infrastructure interaction dynamics
  • Engineered cementitious composite materials

Australian Research Council (ARC) Research Grants

  • W Gao, D Ruan, Z Luo; Experiment-numerical-virtual generative design of nondeterministic impacts; ARC Discovery (DP240102559); 2024-2026
  • W Gao, X Tan; Developmet of computational tool for data-driven structural safety assessment and service life prediction, ARC Linkage-ARC Research Hub (IH210100048) sub-project; 2022-2027
  • W Gao, CW Yang; Circular economy-oriented analysis and design for energy-saving materials    and structures; ARC Linkage-ARC Research Hub (IH200100010) sub-project; 2021-2026
  • Z Luo, W Gao, P Walker, M Wang; Topological design of mechanical meta-structures; ARC Discovery (DP210101353); 2021-2023
  • W Gao, D Wu, YX Zhang, GY Li, YM Chen; Performance assessment and optimal design for nano and composite structures; ARC Linkage-ARC Research Hub (IH150100006) sub-project; 2017-2022
  • W Gao, Y-L Pi, S Tangaramvong; Unified nondeterministic dynamic safety assessment of softening structures; ARC Discovery (DP160103919); 2016-2018
  • W Gao, Y-L Pi, F Tin-Loi; Stochastic geometrically nonlinear elasto-plastic buckling and behaviour of curved grid-like structures; ARC Discovery (DP140101887); 2014-2016
  • CM Song, W Gao, Y-L Pi; A high-performance stochastic scaled boundary finite-element framework for safety assessment of structures susceptible to fracture; ARC Discovery (DP130102934); 2013-2015
  • CM Song, W Gao, W Becker; Non-deterministic fracture analysis of structures by extending the scaled boundary finite-element method; ARC Discovery (DP1094451); 2010-2012
  • N Zhang, W Gao; Quantitative analysis of dynamic performance of vehicles with uncertain system parameters and road inputs; ARC Discovery (DP0988429); 2009-2011

Research Projects for Future PhD Students

  • AI and machine learning based structural analysis and design
  • Integrated stochastic CAD/CAE framework
  • Smart, sustainable and resilient structural design
  • Data-driven structural reliability assessment and service-life prediction
  • Stochastic static/dynamic elasto-plastic nonlinear analysis of large/complex structures
  • Robust safety/ reliability-based design of composite structures
  • Vehicle-bridge and train-rail-sleeper--foundation-tunnel coupled system
  • Durability and safety of nano-enhanced building materials

Editorial Boards

  • Engineering Structures (Associate Editor)
  • Applied Mathematical Modelling (Subject Editor)
  • Computer Methods in Applied Mechanics and Engineering (Editorial Advisory Board Member)
  • Nanotechnology Reviews (Editorial Advisory Board Member)
  • Machines (Editorial Advisory Board Member)
  • Composites Part B Engineering (Editorial Board Member, 2013-2019)

 

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Location

Civil Engineering Building (H20)
Level 6, Room CE608
Kensington Campus

Contact

(+61 2) 9385 4123
(+61 2) 9385 6139