Hui Li
Cited by
Cited by
Microstructure of cement mortar with nano-particles
H Li, H Xiao, J Yuan, J Ou
Composites part B: engineering 35 (2), 185-189, 2004
Abrasion resistance of concrete containing nano-particles for pavement
H Li, M Zhang, J Ou
Wear 260 (11-12), 1262-1266, 2006
A study on mechanical and pressure-sensitive properties of cement mortar with nanophase materials
H Li, H Xiao, J Ou
Cement and Concrete research 34 (3), 435-438, 2004
Structural health monitoring in mainland China: review and future trends
J Ou, H Li
Structural health monitoring 9 (3), 219-231, 2010
Pore structure and chloride permeability of concrete containing nano-particles for pavement
M Zhang, H Li
Construction and Building Materials 25 (2), 608-616, 2011
3D printing of graphene aerogels
Q Zhang, F Zhang, SP Medarametla, H Li, C Zhou, D Lin
Small 12 (13), 1702-1708, 2016
Flexural fatigue performance of concrete containing nano-particles for pavement
H Li, M Zhang, J Ou
International Journal of fatigue 29 (7), 1292-1301, 2007
NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations
X Jin, S Cai, H Li, GE Karniadakis
Journal of Computational Physics 426, 109951, 2021
Double-negative-index ceramic aerogels for thermal superinsulation
X Xu, Q Zhang, M Hao, Y Hu, Z Lin, L Peng, T Wang, X Ren, C Wang, ...
Science 363 (6428), 723-727, 2019
Computer vision and deep learning–based data anomaly detection method for structural health monitoring
Y Bao, Z Tang, H Li, Y Zhang
Structural Health Monitoring 18 (2), 401-421, 2019
Effect of compressive strain on electrical resistivity of carbon black-filled cement-based composites
H Li, H Xiao, J Ou
Cement and Concrete Composites 28 (9), 824-828, 2006
Self-sensing, ultralight, and conductive 3D graphene/iron oxide aerogel elastomer deformable in a magnetic field
X Xu, H Li, Q Zhang, H Hu, Z Zhao, J Li, J Li, Y Qiao, Y Gogotsi
ACS nano 9 (4), 3969-3977, 2015
Naturally dried graphene aerogels with superelasticity and tunable Poisson's ratio
X Xu, Q Zhang, Y Yu, W Chen, H Hu, H Li
Advanced materials 28 (41), 9223-9230, 2016
The state of the art of data science and engineering in structural health monitoring
Y Bao, Z Chen, S Wei, Y Xu, Z Tang, H Li
Engineering 5 (2), 234-242, 2019
Convolutional neural network‐based data anomaly detection method using multiple information for structural health monitoring
Z Tang, Z Chen, Y Bao, H Li
Structural Control and Health Monitoring 26 (1), e2296, 2019
Prediction model of velocity field around circular cylinder over various Reynolds numbers by fusion convolutional neural networks based on pressure on the cylinder
X Jin, P Cheng, WL Chen, H Li
Physics of Fluids 30 (4), 047105, 2018
Suppression of vortex-induced vibration of a circular cylinder using suction-based flow control
WL Chen, DB Xin, F Xu, H Li, JP Ou, H Hu
Journal of Fluids and Structures 42, 25-39, 2013
Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images
Y Xu, Y Bao, J Chen, W Zuo, H Li
Structural Health Monitoring 18 (3), 653-674, 2019
Mechanically robust honeycomb graphene aerogel multifunctional polymer composites
Q Zhang, X Xu, H Li, G Xiong, H Hu, TS Fisher
Carbon 93, 659-670, 2015
Modal identification of bridges under varying environmental conditions: temperature and wind effects
H Li, S Li, J Ou, H Li
Structural Control and Health Monitoring 17 (5), 495-512, 2010
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