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Hui Li
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Microstructure of cement mortar with nano-particles
H Li, H Xiao, J Yuan, J Ou
Composites part B: engineering 35 (2), 185-189, 2004
15762004
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
7252021
Abrasion resistance of concrete containing nano-particles for pavement
H Li, M Zhang, J Ou
Wear 260 (11-12), 1262-1266, 2006
7062006
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
6372004
Structural health monitoring in mainland China: review and future trends
J Ou, H Li
Structural health monitoring 9 (3), 219-231, 2010
6292010
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
6152011
3D printing of graphene aerogels
Q Zhang, F Zhang, SP Medarametla, H Li, C Zhou, D Lin
Small 12 (13), 1702-1708, 2016
5312016
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
4692007
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
4602019
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
4552019
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
3462019
The State Of the Art Data Science and Engineering in Structrual Health Monitoring
B Yuequan, C Zhicheng, W Shiyin, X Yang, T Zhiyi, L Hui
Engineering 5 (2), 234-242, 2019
3462019
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
3322006
Effect of compressive strain on electrical resistivity of carbon black-filled cement-based composites
L Hui, X Huigang, O Jinping
Cement and Concrete Composites 28 (9), 824-828, 2006
3322006
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
3042019
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
2962015
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
2782018
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
2722016
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
2482019
The state of the art in structural health monitoring of cable-stayed bridges
H Li, J Ou
Journal of Civil Structural Health Monitoring 6, 43-67, 2016
2182016
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