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Jianchun Li
Jianchun Li
Professor
Verified email at uts.edu.au
Title
Cited by
Cited by
Year
A state-of-the-art review on magnetorheological elastomer devices
Y Li, J Li, W Li, H Du
Smart materials and structures 23 (12), 123001, 2014
6712014
A novel hysteretic model for magnetorheological fluid dampers and parameter identification using particle swarm optimization
NM Kwok, QP Ha, TH Nguyen, J Li, B Samali
Sensors and Actuators A: Physical 132 (2), 441-451, 2006
3942006
Bouc–Wen model parameter identification for a MR fluid damper using computationally efficient GA
NM Kwok, QP Ha, MT Nguyen, J Li, B Samali
ISA transactions 46 (2), 167-179, 2007
3062007
Development and characterization of a magnetorheological elastomer based adaptive seismic isolator
Y Li, J Li, W Li, B Samali
Smart Materials and Structures 22 (3), 035005, 2013
3022013
A novel deep learning-based method for damage identification of smart building structures
Y Yu, C Wang, X Gu, J Li
Structural Health Monitoring 18 (1), 143-163, 2019
2532019
A highly adjustable magnetorheological elastomer base isolator for applications of real-time adaptive control
Y Li, J Li, T Tian, W Li
Smart Materials and Structures 22 (9), 095020, 2013
2302013
Experimental study and modeling of a novel magnetorheological elastomer isolator
J Yang, H Du, W Li, Y Li, J Li, S Sun, HX Deng
Smart Materials and Structures 22 (11), 117001, 2013
1762013
In situ assessment of structural timber using stress-wave measurements
U Dackermann, K Crews, B Kasal, J Li, M Riggio, F Rinn, T Tannert
Materials and structures 47, 787-803, 2014
1402014
Damage identification in civil engineering structures utilizing PCA‐compressed residual frequency response functions and neural network ensembles
J Li, U Dackermann, YL Xu, B Samali
Structural Control and Health Monitoring 18 (2), 207-226, 2011
1362011
A novel optimised self-learning method for compressive strength prediction of high performance concrete
Y Yu, W Li, J Li, TN Nguyen
Construction and Building Materials 184, 229-247, 2018
1332018
Negative stiffness devices for vibration isolation applications: a review
H Li, Y Li, J Li
Advances in Structural Engineering 23 (8), 1739-1755, 2020
1172020
Piezoelectric energy harvesting from traffic-induced pavement vibrations
X Jiang, Y Li, J Li, J Wang, J Yao
Journal of Renewable and Sustainable Energy 6 (4), 2014
1052014
Guided waves for damage detection in rebar-reinforced concrete beams
Y Lu, J Li, L Ye, D Wang
Construction and Building Materials 47, 370-378, 2013
952013
Behaviour of concrete beam–column connections reinforced with hybrid FRP sheet
J Li, B Samali, L Ye, S Bakoss
Composite Structures 57 (1-4), 357-365, 2002
942002
Structural damage detection of controlled building structures using frequency response functions
Q Huang, YL Xu, JC Li, ZQ Su, HJ Liu
Journal of Sound and Vibration 331 (15), 3476-3492, 2012
912012
A review study on encapsulation‐based self‐healing for cementitious materials
C Xue, W Li, J Li, VWY Tam, G Ye
Structural Concrete 20 (1), 198-212, 2019
882019
Semi-active control of magnetorheological elastomer base isolation system utilising learning-based inverse model
X Gu, Y Yu, J Li, Y Li
Journal of Sound and Vibration 406, 346-362, 2017
792017
Damage detection in rebar-reinforced concrete beams based on time reversal of guided waves
S Mustapha, Y Lu, J Li, L Ye
Structural Health Monitoring 13 (4), 347-358, 2014
772014
Application of the modified damage index method to timber beams
FC Choi, J Li, B Samali, K Crews
Engineering structures 30 (4), 1124-1145, 2008
732008
Experimental study of semi-active magnetorheological elastomer base isolation system using optimal neuro fuzzy logic control
X Gu, Y Yu, Y Li, J Li, M Askari, B Samali
Mechanical Systems and Signal Processing 119, 380-398, 2019
712019
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