Accurate structural displacement reconstruction from acceleration and computer vision measurements using physics-informed neural networks

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 16.9K citations · Full text

Natural Sciences, Computer Science, Physics +16

Physics-informed neural networks for high-speed flows

Zhiping Mao, Ameya D. Jagtap, George Em Karniadakis · Computer Methods in Applied Mechanics and Engineering · 2019 · 1.2K citations

Computing, Computational Engineering, Physics +14

Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection

Limin Sun, Zhiqiang Shang, Ye Xia et al. · Journal of Structural Engineering · 2020 · 716 citations

Engineering, Civil Engineering, Computer Science +17

Physics-informed multi-LSTM networks for metamodeling of nonlinear structures

Ruiyang Zhang, Yang Liu, Hao Sun · Computer Methods in Applied Mechanics and Engineering · 2020 · 479 citations · Full text

Computing, Computational Engineering, Physics +14

Comparison of laser Doppler vibrometer with contact sensors for monitoring bridge deflection and vibration

Hani Nassif, Mayrai Gindy, Joe M. Davis · NDT & E International · 2004 · 463 citations · Full text

Engineering, Civil Engineering, Mechanical Engineering +16