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Li, Hua (ASME Fellow)
Li, Hua (ASME Fellow)
Professor, School of Mechanical & Aerospace Engineering, Nanyang Technological University
Подтвержден адрес электронной почты в домене ntu.edu.sg - Главная страница
Название
Процитировано
Процитировано
Год
Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L
Z Zhan, H Li
International Journal of Fatigue 142, 105941, 2021
2442021
Indoor occupancy estimation from carbon dioxide concentration
C Jiang, MK Masood, YC Soh, H Li
Energy and Buildings 131, 132-141, 2016
2262016
Fatigue and fracture behaviour of laser powder bed fusion stainless steel 316L: Influence of processing parameters
M Zhang, CN Sun, X Zhang, PC Goh, J Wei, D Hardacre, H Li
Materials Science and Engineering: A 703, 251-261, 2017
2132017
High cycle fatigue life prediction of laser additive manufactured stainless steel: A machine learning approach
M Zhang, CN Sun, X Zhang, PC Goh, J Wei, D Hardacre, H Li
International Journal of Fatigue 128, 105194, 2019
2112019
A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings
T Chaudhuri, YC Soh, H Li, L Xie
Applied energy 248, 44-53, 2019
2092019
Random forest based thermal comfort prediction from gender-specific physiological parameters using wearable sensing technology
T Chaudhuri, D Zhai, YC Soh, H Li, L Xie
Energy and Buildings 166, 391-406, 2018
2002018
Frequency characteristics of a thin rotating cylindrical shell using the generalized differential quadrature method
L Hua, KY Lam
International Journal of Mechanical Sciences 40 (5), 443-459, 1998
1981998
Thermal comfort prediction using normalized skin temperature in a uniform built environment
T Chaudhuri, D Zhai, YC Soh, H Li, L Xie
Energy and Buildings 159, 426-440, 2018
1712018
A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing
Z Zhan, H Li
International Journal of Fatigue 145, 106089, 2021
1442021
Modeling and simulation of the swelling behavior of pH-stimulus-responsive hydrogels
H Li, TY Ng, YK Yew, KY Lam
Biomacromolecules 6 (1), 109-120, 2005
1442005
Smart Hydrogel Modelling
H Li
Springer Nature, 2009
140*2009
Influence of boundary conditions on the frequency characteristics of a rotating truncated circular conical shell
KY Lam, L Hua
Journal of sound and vibration 223 (2), 171-195, 1999
1311999
Meshless Methods and Their Numerical Properties
H Li, SS Mulay
CRC Press, 2013
1292013
Machine learning based prediction of thermal comfort in buildings of equatorial Singapore
T Chaudhuri, YC Soh, H Li, L Xie
2017 IEEE International Conference on Smart Grid and Smart Cities (ICSGSC …, 2017
1232017
Generalized differential quadrature for free vibration of rotating composite laminated conical shell with various boundary conditions
TY Ng, H Li, KY Lam
International journal of mechanical sciences 45 (3), 567-587, 2003
1172003
Modeling of cool roof heat transfer in tropical climate
KT Zingre, MP Wan, S Tong, H Li, VWC Chang, SK Wong, WBT Toh, ...
Renewable Energy 75, 210-223, 2015
1142015
Transient analysis of temperature-sensitive neutral hydrogels
E Birgersson, H Li, S Wu
Journal of the Mechanics and Physics of Solids 56 (2), 444-466, 2008
1112008
Model development and numerical simulation of electric-stimulus-responsive hydrogels subject to an externally applied electric field
H Li, Z Yuan, KY Lam, HP Lee, J Chen, J Hanes, J Fu
Biosensors and Bioelectronics 19 (9), 1097-1107, 2004
1102004
Rotating shell dynamics
H Li, KY Lam, TY Ng
Elsevier, 2005
1062005
Vibration analysis of a rotating truncated circular conical shell
KY Lam, L Hua
International journal of solids and structures 34 (17), 2183-2197, 1997
1061997
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